{"id":6,"date":"2019-09-12T20:10:16","date_gmt":"2019-09-13T00:10:16","guid":{"rendered":"https:\/\/cecas.clemson.edu\/zhenli\/?page_id=2"},"modified":"2026-02-25T11:41:22","modified_gmt":"2026-02-25T16:41:22","slug":"home","status":"publish","type":"page","link":"https:\/\/cecas.clemson.edu\/zhenli\/","title":{"rendered":"Home"},"content":{"rendered":"\n<hr class=\"new\">\n<p><font size=\"6\">Welcome to the <font color=\"#0b6cea\"><strong>MuthComp Group<\/strong><\/font><\/font><\/p>\n<p><font size=\"4\"> We are developing the interface of Engineering, Applied Mathematics, Physics-based Machine Learning, and High Performance Scientific Computing, focusing on multiscale phenomena in complex fluids, functional materials, biophysics and soft matter, for engineering design and discovery of <strong>next-generation multifunctional soft materials.<\/strong><\/font><\/p>\n\n\n\n<div class=\"slideshow-container\">\n\n<div class=\"mySlides fade\">\n  <div class=\"numbertext\">1 \/ 8<\/div>\n  <a href=\"https:\/\/doi.org\/10.1039\/C8SM02170H\">\n <img decoding=\"async\" src=\"https:\/\/cecas.clemson.edu\/zhenli\/wp-content\/uploads\/2019\/09\/Coupling.png\" style=\"width:100%\"><\/a>\n  <div class=\"text\">Concurrent Coupling of Heterogeneous Solvers<\/div>\n<\/div>\n\n<div class=\"mySlides fade\">\n  <div class=\"numbertext\">2 \/ 8<\/div>\n<a href=\"https:\/\/doi.org\/10.1017\/jfm.2021.866\"> \n  <img decoding=\"async\" src=\"https:\/\/cecas.clemson.edu\/zhenli\/wp-content\/uploads\/2022\/05\/DeepONet.png\" style=\"width:100%\"><\/a>\n  <div class=\"text\">DeepONet to Approximate Nonlinear Continuous Operators<\/div>\n<\/div>\n\n<div class=\"mySlides fade\">\n  <div class=\"numbertext\">3 \/ 8<\/div>\n<a href=\"https:\/\/doi.org\/10.1098\/rsif.2020.0834\"> \n  <img decoding=\"async\" src=\"https:\/\/cecas.clemson.edu\/zhenli\/wp-content\/uploads\/2019\/09\/Blood.png\" style=\"width:100%\"><\/a>\n  <div class=\"text\">Coupled Diffusion-Reaction Kinetics and Blood Flow Dynamics<\/div>\n<\/div>\n\n<div class=\"mySlides fade\">\n  <div class=\"numbertext\">4 \/ 8<\/div>\n  <a href=\"http:\/\/dx.doi.org\/10.1021\/acs.macromol.6b00365\"> \n <img decoding=\"async\" src=\"https:\/\/cecas.clemson.edu\/zhenli\/wp-content\/uploads\/2019\/09\/Smart_material.png\" style=\"width:100%\"><\/a>\n  <div class=\"text\">Stimuli-Responsive Smart Materials in Flows<\/div>\n<\/div>\n\n<div class=\"mySlides fade\">\n  <div class=\"numbertext\">5 \/ 8<\/div>\n  <a href=\"https:\/\/doi.org\/10.1021\/acs.langmuir.8b03664\">\n <img decoding=\"async\" src=\"https:\/\/cecas.clemson.edu\/zhenli\/wp-content\/uploads\/2019\/09\/Wetting.png\" style=\"width:100%\"><\/a>\n  <div class=\"text\">Wetting\/dewetting Dynamics on Heterogeneous Surfaces<\/div>\n<\/div>\n\n<div class=\"mySlides fade\">\n  <div class=\"numbertext\">6 \/ 8<\/div>\n <a href=\"https:\/\/doi.org\/10.1016\/j.jcp.2020.110069\">\n <img decoding=\"async\" src=\"https:\/\/cecas.clemson.edu\/zhenli\/wp-content\/uploads\/2019\/09\/Active_learning.png\" style=\"width:100%\"><\/a>\n  <div class=\"text\">Learning Constitutive Closure Models for Multiscale Complex Fluids<\/div>\n<\/div>\n\n<div class=\"mySlides fade\">\n  <div class=\"numbertext\">7 \/ 8<\/div>\n<a href=\"http:\/\/dx.doi.org\/10.1063\/1.4973347\"> \n<img decoding=\"async\" src=\"https:\/\/cecas.clemson.edu\/zhenli\/wp-content\/uploads\/2019\/09\/CG.png\" style=\"width:100%\"><\/a>\n  <div class=\"text\">Mathematical Theory for Coarse-Graining and Model-Reduction<\/div>\n<\/div>\n\n<div class=\"mySlides fade\">\n  <div class=\"numbertext\">8 \/ 8<\/div>\n<a href=\"https:\/\/doi.org\/10.1016\/j.cma.2020.113250\"> \n<img decoding=\"async\" src=\"https:\/\/cecas.clemson.edu\/zhenli\/wp-content\/uploads\/2019\/09\/PINN.png\" style=\"width:100%\"><\/a>\n  <div class=\"text\">Physics-Informed Neural Network Models<\/div>\n<\/div>\n\n<a class=\"prev\" onclick=\"plusSlides(-1)\">\u276e<\/a>\n<a class=\"next\" onclick=\"plusSlides(1)\">\u276f<\/a>\n\n<\/div>\n<br>\n\n<div style=\"text-align:center\">\n  <span class=\"dot\" onclick=\"currentSlide(1)\"><\/span> \n  <span class=\"dot\" onclick=\"currentSlide(2)\"><\/span> \n  <span class=\"dot\" onclick=\"currentSlide(3)\"><\/span> \n  <span class=\"dot\" onclick=\"currentSlide(4)\"><\/span> \n  <span class=\"dot\" onclick=\"currentSlide(5)\"><\/span> \n  <span class=\"dot\" onclick=\"currentSlide(6)\"><\/span> \n  <span class=\"dot\" onclick=\"currentSlide(7)\"><\/span> \n  <span class=\"dot\" onclick=\"currentSlide(8)\"><\/span> \n<\/div>\n\n<script>\nvar slideIndex = 1;\n\nwindow.addEventListener(\"load\",function() {\n    showSlides(slideIndex);\n    myTimer = setInterval(function(){plusSlides(1)}, 5000);\n})\n\nfunction plusSlides(n){\n  clearInterval(myTimer);\n  if (n < 0){\n    showSlides(slideIndex -= 1);\n  } else {\n    showSlides(slideIndex += 1); \n  }\n  if (n === -1){\n    myTimer = setInterval(function(){plusSlides(n + 2)}, 5000);\n  } else {\n    myTimer = setInterval(function(){plusSlides(n + 1)}, 5000);\n  }\n}\n\nfunction currentSlide(n){\n  clearInterval(myTimer);\n  myTimer = setInterval(function(){plusSlides(0)}, 5000);\n  showSlides(slideIndex = n);\n}\n\nfunction showSlides() {\n  var i;\n  var slides = document.getElementsByClassName(\"mySlides\");\n  var dots = document.getElementsByClassName(\"dot\");\n  for (i = 0; i < slides.length; i++) {\n    slides[i].style.display = \"none\";  \n  }\n  if (slideIndex > slides.length) {slideIndex = 1}   \n  if (slideIndex < 1) {slideIndex = slides.length}   \n  for (i = 0; i < dots.length; i++) {\n    dots[i].className = dots[i].className.replace(\" active\", \"\");\n  }\n  slides[slideIndex-1].style.display = \"block\";  \n  dots[slideIndex-1].className += \" active\";\n}\n<\/script>\n\n\n\n<hr class=\"new\">\n<p><font size=\"4\"><font color=\"#C70039\">NEW Openings available<\/font>, please click <a href=\"https:\/\/cecas.clemson.edu\/zhenli\/openings\">here<\/a> for details.<\/font><\/p>\n\n\n\n<hr class=\"new\">\n<p><font size=\"4\" ,=\"\" color=\"#C70039\"> RESEARCH INTERESTS:<\/font> <\/p>\n<ul>\n<li> Machine Learning Methods for Multiscale Problems. <\/li>\n<li> Mathematical Theory of Multiscale Modeling, Coarse-Graining and Model Reduction. <\/li>\n<li> Mesoscale Methods and Mesoscopic Phenomena. <\/li>\n<li> Multiscale\/Multiphysics in Complex Fluids and Soft Matter. <\/li>\n<\/ul>\n<figure class=\"wp-block-image\">\n<img decoding=\"async\" loading=\"lazy\" width=\"1235\" height=\"350\" src=\"https:\/\/cecas.clemson.edu\/zhenli\/wp-content\/uploads\/2020\/08\/RI_4.png\" alt=\"Smiley face\" align=\"left\"><\/figure>\n<figure class=\"wp-block-image\">\n<img decoding=\"async\" loading=\"lazy\" width=\"1235\" height=\"350\" src=\"https:\/\/cecas.clemson.edu\/zhenli\/wp-content\/uploads\/2020\/08\/RI_1.png\" alt=\"Smiley face\" align=\"left\"><\/figure>\n<figure class=\"wp-block-image\">\n<img decoding=\"async\" loading=\"lazy\" width=\"1235\" height=\"350\" src=\"https:\/\/cecas.clemson.edu\/zhenli\/wp-content\/uploads\/2020\/08\/RI_2.png\" alt=\"Smiley face\" align=\"left\"><\/figure>\n<figure class=\"wp-block-image\">\n<img decoding=\"async\" loading=\"lazy\" width=\"1235\" height=\"350\" src=\"https:\/\/cecas.clemson.edu\/zhenli\/wp-content\/uploads\/2020\/08\/RI_3.png\" alt=\"Smiley face\" align=\"left\"><\/figure>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<hr class=\"new\">\n<p><font size=\"4\" ,=\"\" color=\"#C70039\"> RECENT NEWS: <\/font> <\/p>\n<ul>\n\n<li> 02\/11\/2026: Prof. Zhen Li participated in the STRIDE ART Academy Spring 2026 Cohort 4 to receive ART (Accelerating Research Translation) training on advancing fundamental scientific research out of the lab and into market and societal impact.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 02\/02\/2026: Prof. Zhen Li received a research grant titled \"Physics-based AI for Accelerated Design of Biomimetic Flexible Multilayer Blood Vessels\" to develop a physics-based artificial intelligence framework that integrates physics of blood vessels and deep neural operator to accelerate the design of biomimetic flexible multilayer blood vessels closely replicating native vascular structures and biomechanical performance, which was awarded by the SC EPSCoR\/IDeA program.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 01\/29\/2026: PhD students Ryan Wan, Faisal Tushar, Haizhou Wen, and Prof. Zhen Li attended the 2026 All-Hands Meeting of DOE\/EFRC AIM for Composites hosted by University of Florida, where Faisal won <strong>the 2nd Place Award<\/strong> of Best Poster Presentation for his research on \"Sliding, Not Rolling: A Droplet-Transport Mechanism for Energy-Efficient Molten Composite 3D Printing\", and Ryan won <strong>the 3rd Place Award<\/strong> of Best Poster Presentation for his joint research with Haizhou on \"Transfer Learning Enabled by Multi-fidelity Bayesian Neural Networks for Mechanical Property Prediction of Composites\u200b\".<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 01\/01\/2026: Congratulations to Prof. Zhen Li for being appointed as the United Mechanical Endowed Associate Professor. This titled professorship recognizes his sustained record of excellence in leadership, research, teaching and service in the College of Engineering, Computing and Applied Sciences and the Department of Mechanical Engineering.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 12\/21\/2025: PhD Student Ali Mohammadi's paper \"Enhanced molecular diffusion near a soft fluctuating membrane\" was published in the Special Issue \"Mesoscale Fluid Dynamics\" of The Journal of Chemical Physics. Congratulations to Ali. (see <a href=\"https:\/\/doi.org\/10.1063\/5.0289093\"><font color=\"#00cc00\">DOI: 10.1063\/5.0289093<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 11\/4\/2025: Congratulations to Faisal Tushar and Haizhou Wen who were awarded in the Student Pitch Competition at 2025 ASHRAE Region IV Student Summit. Faisal's winning project is \"Autonomous Water Harvesting and Self-Cleaning Surfaces for Space\", and Haizhou's winning project is \"Physics-based AI for optimal HVAC control\". <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 7\/1\/2025: our paper \"Onset of cavitation and vapor bubble development over hydrophilic and hydrophobic surfaces\" was published in PNAS. (see <a href=\"https:\/\/www.pnas.org\/doi\/10.1073\/pnas.2503033122\"><font color=\"#00cc00\">DOI: 10.1073\/pnas.2503033122<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 5\/19\/2025: PhD students Ryan Wan and Haizhou Wen, and Prof. Zhen Li attended the <a href=\"https:\/\/sites.google.com\/view\/m3x-2025\/home\">2025 Southeast\u00a0Polymer Forum<\/a> - A conference on Materials, Manufacturing, and Machine Learning - hosted by University of Georgia. Ryan and Haizhou presented their recent research on \"Physics-constrained model discovery from data for manufacturing process using neural operator learning\" and \"A 3D RBC Shape Predictor based on Multi-Fidelity Neural Network\". Prof. Li gave an invited talk titled \"Deep Neural Operator Learning Applied to Multiscale Mechanical Problems\" in the Session \"Machine Learning and Manufacturing Processes\".<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 05\/01\/2025: Congratulations to Prof. Zhen Li for being promoted to Associate Professor with tenure at Clemson University.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 3\/31\/2025: our paper \"Mesoscopic flow simulation to understand the percolation through fine-ground electronic waste particle bed\" was published in Powder Technology. (see <a href=\"https:\/\/doi.org\/10.1016\/j.powtec.2025.120703\"><font color=\"#00cc00\">DOI: 10.1016\/j.powtec.2025.120703<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 3\/18\/2025: our paper \"Multi-Material Gradient Printing Using Meniscus-enabled Projection Stereolithography (MAPS)\" was published in Advanced Materials Technologies. (see <a href=\"https:\/\/doi.org\/10.1002\/admt.202400675\"><font color=\"#00cc00\">DOI: 10.1002\/admt.202400675<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 3\/8\/2025: Prof. Zhen Li attended the 2025 AMS Spring Southeastern Sectional Meeting held in Clemson University and gave an invited presentation titled \"Predicting micro to macro-scale bubble growth dynamics using \u000bdeep neural operators\" in the Special Session on Mathematical modeling and simulation in fluid dynamics.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 12\/3\/2024: our paper \"Multipath Projection Stereolithography for Three-Dimensional Printing Microfluidic Devices\" was published in ACS Applied Materials & Interfaces. (see <a href=\"https:\/\/doi.org\/10.1021\/acsami.4c10547\"><font color=\"#00cc00\">DOI: 10.1021\/acsami.4c10547<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 11\/25\/2024: Prof. Zhen Li attended the 77th Annual Meeting of the APS Division of Fluid Dynamics (APS\/DFD 2024) held in Salt Lake City, UT. Prof. Li gave an oral presentation on \"Neural operator learning for multiscale bubble growth dynamics with correlated fluctuations\".<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 11\/16\/2024: our paper \"A single-particle energy-conserving dissipative particle dynamics approach for simulating thermophoresis of nanoparticles in polymer networks\" was published in The Journal of Chemical Physics. (see <a href=\"https:\/\/doi.org\/10.1063\/5.0227060\"><font color=\"#00cc00\">DOI: 10.1063\/5.0227060<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 11\/14\/2024: Our collaborator <a href=\"https:\/\/inl.elsevierpure.com\/en\/persons\/yidong-xia\">Dr. Yidong Xia<\/a> from DOE Idaho National Laboratory was invited to visit Clemson's ME Department and give a Departmental Seminar titled \"Preprocessing biomass and electronic waste at Idaho National Laboratory\u2019s Biomass Feedstock National User Facility: Experiment, Computation, and Digital Engineering\". Faculty and students from both Mechanical Engineering and Civil Engineering attended this wonderful seminar.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 10\/16\/2024: Prof. Zhen Li gave a Keynote Talk in the \"Data-Driven Rheology\" session on the topic of \"Deep neural operator for bridging scales in multiscale bubble growth dynamics\" at the <a href=\"https:\/\/www.rheology.org\/sor\/Annual_Meeting\/2024Oct\/\">95th Annual Meeting of the Society of Rheology<\/a> held in Austin, Texas.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 10\/10\/2024: Prof. Zhen Li was invited to visit the Department of Mechanical\nand Aerospace Engineering (MAE) at University at Buffalo, and gave an MAE Seminar on \"Deep Learning Methods for Multiscale Mechanical Problems\".<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 9\/4\/2024: Congratulations to Miles Lu who successfully defensed his PhD dissertation. Miles will receive his PhD degree of Mechanical Engineering in Dec. 2024.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 08\/27\/2024: PhD Student Miles Lu's paper \"Bridging scales in multiscale bubble growth dynamics with correlated fluctuations using neural operator learning\" was published in the Special issue \"ML for Multiphase Flow\" of International Journal of Multiphase Flow. Congratulations to Miles. (see <a href=\"https:\/\/doi.org\/10.1016\/j.ijmultiphaseflow.2024.104959\"><font color=\"#00cc00\">DOI: 10.1016\/j.ijmultiphaseflow.2024.104959<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 08\/22\/2024: Prof. Zhen Li gave an invited talk on \"Neural Operator Learning for Multiscale Problems in Mechanical Engineering\" in the Taylor Medal Symposium honoring Prof. George Karniadakis for his G.I. Taylor Medal Award at the <a href=\"https:\/\/www.2024ses.com\/\">2024 SES Annual Technical Meeting<\/a>.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 08\/15\/2024: Welcome Haizhou Wen to join the MuthComp research group as a PhD student.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 08\/11\/2024: PhD student Miles Lu and Prof. Zhen Li attended the 2024 All-Hands Meeting of DOE\/EFRC AIM for Composites hosted by University of Delaware, where Miles Lu won the 2nd Place Award of Best Poster Presentation for his research on \"Fast surrogate model DNO+ and model discovery from data through deep learning and symbolic regression\".<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 05\/15\/2024: PhD student Miles Lu accepted a DOE National Laboratory Summer Internship offer and starts his second 3-month research journey at Idaho National Laboratory, where Miles will develop neural operator models for physics-constrained model discovery from manufacturing process data.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 05\/07\/2024: PhD Student Miles Lu's paper \"Predicting biomass comminution: Physical experiment, population balance model, and deep learning\" was published in Powder Technology. Congratulations to Miles. (see <a href=\"https:\/\/doi.org\/10.1016\/j.powtec.2024.119830\"><font color=\"#00cc00\">DOI: 10.1016\/j.powtec.2024.119830<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 05\/03\/2024: Prof. Zhen Li attended the 2024 ARL Turbine Power Research Annual Workshop and gave a talk on \"Machine-learning based prediction of TBC wettability analysis over rough surfaces\". <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 04\/26\/2024: Prof. Zhen Li gave an invited talk on the topic of \"Deep Learning Methods for Multiscale Engineering Problems\" at the <a href=\"https:\/\/calendar.clemson.edu\/event\/clemson-ai-research-symposium-spring-2024\">2024 AI Research Symposium<\/a> hosted by AIRISE, Watt AI, and CCIT Research Computing and Data of Clemson University.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 04\/16\/2024: our paper \"Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs\" was published in Journal of Fluid Mechanics. (see <a href=\"https:\/\/doi.org\/10.1017\/jfm.2024.270\"><font color=\"#00cc00\">DOI: 10.1017\/jfm.2024.270<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 03\/05\/2024: Prof. Zhen Li attended the 2024 SIAM Conference on Parallel Processing for Scientific Computing (see <a href=\"https:\/\/www.siam.org\/conferences\/cm\/conference\/pp24\"><font color=\"#00cc00\">PP24<\/font><\/a>) held in Baltimore, Maryland. Prof. Li gave an invited talk titled \"Multiscale Parareal Algorithms for Long-Time Mesoscopic Simulation of Complex Fluids\" in the minisymposium MS1 \"Parallel-in-Time: Recent Developments in Software and Numerical Methods\".<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 02\/26\/2024: PhD student Miles Lu and Prof. Zhen Li were invited to visit the Idaho National Laboratory in the Energy and Environment Science and Technology (EES&T) Directorate, where Prof. Li gave a Frontier of Energy Science Seminar on the topic of \"Deep Learning Methods for Multiscale Mechanical Engineering Problems\".<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 02\/20\/2024: Congratulations to Prof. Zhen Li for being honored with the CECAS <strong>Dean\u2019s Professor Award<\/strong> in the School of Mechanical and Automotive Engineering. This professorship recognizes a sustained record of excellence in teaching, research, scholarship and service to Clemson University.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 01\/10\/2024: Welcome Ryan Wan to join the MuthComp research group as a PhD student.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 01\/01\/2024: Welcome Ezhin Aliahmadi to be a PhD student, who is transferred from ME Masters' program. Congratulate Ezhin on her new role in the MuthComp group to explore the topic of multiscale physics in complex fluids.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 12\/27\/2023: PhD student Ali Mohammadi's second journal paper titled \"Brownian motion of soft particles near a fluctuating lipid bilayer\" has been published in the Journal of Chemical Physics. Congratulations to Ali. (see <a href=\"https:\/\/doi.org\/10.1063\/5.0182499\"><font color=\"#00cc00\">DOI: 10.1063\/5.0182499<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 12\/01\/2023: our paper \"Arbitrary slip length for fluid-solid interface of arbitrary geometry in smoothed particle dynamics\" was published in Journal of Computational Physics. (see <a href=\"https:\/\/doi.org\/10.1016\/j.jcp.2023.112509\"><font color=\"#00cc00\">DOI: 10.1016\/j.jcp.2023.112509<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 11\/19\/2023: PhD student Faisal Tushar and Prof. Zhen Li attended the 76th Annual Meeting of the APS Division of Fluid Dynamics (see <a href=\"https:\/\/www.2023apsdfd.org\/\"><font color=\"#00cc00\">APS\/DFD 2023.<\/font><\/a>) held in Washington, DC. Prof. Li chaired the session J36 \"Multiphase Flows: Computational Methods III\" and gave an oral presentation on \"Inferring multiscale bubble growth dynamics by deep neural operator learning\". Faisal Tushar did an oral presentation titled \"Accelerated transport of highly viscous liquid through microchannels by multiphase flow over superhydrophobic surface\".<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 10\/20\/2023: PhD student Miles Lu participated in the 2023 Mechanical Engineering Pi-MT presentation competition at Clemson University and won the 2nd place award. Congratulations to Miles!<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 10\/11\/2023: PhD student Miles Lu and Prof. Zhen Li attended the 2023 Annual Technical Meeting of the Society of Engineering Science (see <a href=\"https:\/\/2023ses.com\/\"><font color=\"#00cc00\">SES 2023.<\/font><\/a>) hosted by the University of Minnesota. Prof. Li organized and chaired the minisymposium MS10 \"Multiscale Modeling and Mechanics of Soft Matter and Hierarchical Materials\" and gave an oral presentation on \"Deep neural operator for learning transient response of composites\". Miles Lu did a poster presentation titled \"Deep Neural Operator for Learning Transient Response of Interpenetrating Phase Composites Subject to Dynamic Loading\".<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 09\/18\/2023: PhD student Miles Lu attended the 2023 EFRC-Hub-CMS-CCS PI Meeting to present a poster titled \"Predicting Transient Response Of Composites Subject To Dynamic Loading Using Deep Neural Operator Learning\". He also participated in the 100-Second Lightning Talk Challenge as the representative of our DOE\/EFRC\/AIM research center in this meeting.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 09\/12\/2023: Welcome Shun Tomizawa to visit the MuthComp group from the University of Tokyo, Japan. He has been granted a Study Abroad \u201cMusha Syugyo\u201d Program opportunity to visit the Department of Mechanical Engineering at Clemson University. Shun will collaborate with Muthcomp group members to perform cell-resolved blood flow simulations in experiment-based vascular networks of zebrafish with comparison to zebrafish experiments.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 08\/24\/2023: Prof. Zhen Li gave an invited talk on \"Deep neural operator for learning transient response of composites subject to dynamic loading\" in the minisymposium MS719 Recent Advances in Numerical PDE and Scientific Machine Learning at the 10th International Congress on Industrial and Applied Mathematics (<a href=\"https:\/\/iciam2023.org\/\"><font color=\"#00cc00\">ICIAM 2023<\/font><\/a>) held in Tokyo, Japan. <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 07\/03\/2023: As the Guest Editor, Prof. Zhen Li organized the Applied Mathematics and Mechanics Special Issue \u201cMachine-Learning Approaches for Computational Mechanics\u201d, which has been published as the <a href=\"https:\/\/link.springer.com\/journal\/10483\/volumes-and-issues\/44-7\"><font color=\"#C70039\">AMM July Issue: Vol. 44, Issue 7<\/font><\/a>.\n<br>\nBased on the latest Clarivate Journal Citation Reports 2022, Applied Mathematics and Mechanics is ranked 5th out of 267 Applied Mathematics journals (Q1), and ranked 26th out of 137 Mechanics journals (Q1), with a journal impact factor of 4.4. <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 06\/09\/2023: Prof. Zhen Li attended the 2023 Engineering Mechanics Institute (EMI) Conference and gave a talk on \"Multiphase dissipative particle dynamics modeling of dynamic spreading of a molten sand droplet\" in the minisymposium \"Meshfree, Peridynamic, and Particle Methods: Contemporary Methods and Applications\". <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 05\/15\/2023: PhD student Miles Lu accepted a DOE National Laboratory Summer Internship offer and starts his 3-month research journey at Idaho National Laboratory.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 05\/06\/2023: PhD Students Miles Lu and Ali Mohammadi's joint paper \"Deep neural operator for learning transient response of interpenetrating phase composites subject to dynamic loading\" was published in Computational Mechanics. (see <a href=\"https:\/\/doi.org\/10.1007\/s00466-023-02343-6\"><font color=\"#00cc00\">DOI: 10.1007\/s00466-023-02343-6<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 04\/11\/2023: Prof. Zhen Li was invited to give a talk on \"Generation of rough surfaces with desired statistic features by training a LSTM neural network\" at the 2023 ARL SMASH Hypersonic Workshop. <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 04\/07\/2023: Prof. Zhen Li gave an invited talk on \"Physics-Guided Machine Learning\" at the 2023 Automotive AI Summit. <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 04\/06\/2023: Visiting PhD student Piet Jarmatz and Prof. Zhen Li participated in the 2023 Showcase for Science As Art \u2013 Visual Representation of STEM Event.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 03\/24\/2023: PhD student Miles Lu and Prof. Zhen Li participated in the 2023 Annual SIAM-SEAS Conference, where Prof. Li gave an invited talk on \"Deep neural operator for learning transient response of composites subject to mechanical loading\". <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 02\/28\/2023: our paper \u201cPPINN: Parareal physics-informed neural network for time-dependent PDEs\u201d was featured as one of the <a href=\"https:\/\/www.sciencedirect.com\/journal\/computer-methods-in-applied-mechanics-and-engineering\"><font color=\"#a84e32\">Most Cited Articles in Computer Methods in Applied Mechanics and Engineering<\/font><\/a>. (300+ citations since its publication in late 2020, see <a href=\"https:\/\/doi.org\/10.1016\/j.cma.2020.113250\"><font color=\"#00cc00\">DOI: 10.1016\/j.cma.2020.113250<\/font><\/a>) <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 02\/24\/2023: PhD students Miles and Ali participated in the Annual ME Poster Showcase to present their recent research on deep neural operator approaches for predicting mechanical response of composite materials. <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 02\/01\/2023: Welcome Piet Jarmatz to visit the MuthComp group from Helmut-Schmidt-Universit\u00e4t, Germany. He will explore supervised parallel-in-time algorithms applied for molecular-continuum coupling in collaboration with MuthComp members.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 01\/16\/2023: our paper \"A Mori\u2013Zwanzig Dissipative Particle Dynamics Approach for Anisotropic Coarse Grained Molecular Dynamics\" was published in Journal of Chemical Theory and Computation. (see <a href=\"https:\/\/pubs.acs.org\/doi\/full\/10.1021\/acs.jctc.2c00960\"><font color=\"#00cc00\">DOI: 10.1021\/acs.jctc.2c00960<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 01\/01\/2023: Welcome Ali Mohammadi to be a PhD student, who is transferred from ME Masters' program. Congratulate Ali on his new role in the MuthComp group to explore the anomalous transport phenomena of active matter in non-equilibrium processes.\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 11\/04\/2022: <a href=\"https:\/\/bios.inl.gov\/Lists\/Researcher\/DisplayOverrideForm.aspx?ID=321\">Dr. Yidong Xia<\/a> from DOE Idaho National Laboratory was invited to visit Clemson's ME Department and gave a Departmental Seminar entitled \"The Role of Particle Flow Modeling in Energy Source Research: Case I: Hydrocarbon and Water Flow in Nanoporous Media; Case II: Cellulosic Biomass Granular Flow in Biorefineries\", which is the first in-person ME Departmental Seminar after the pandemic. Faculty and students from both Mechanical Engineering and Civil Engineering attended this wonderful seminar.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 10\/16\/2022: Prof. Zhen Li co-organized a minisymposium \u201cMultiscale Modeling and Mechanics of Soft Matter and Hierarchical Materials\u201d at the 2022 Technical Meeting of the Society of Engineering Science (SES). (see <a href=\"https:\/\/na.eventscloud.com\/website\/33592\/home\/\"><font color=\"#00cc00\">SES 2022.<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 10\/04\/2022: our paper \"Quantifying the dynamic spreading of a molten sand droplet using multiphase mesoscopic simulations\" was published in Physical Review Fluids. (see <a href=\"https:\/\/link.aps.org\/doi\/10.1103\/PhysRevFluids.7.103602\"><font color=\"#00cc00\">DOI: 10.1103\/PhysRevFluids.7.103602<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 09\/30\/2022: Prof. Zhen Li, as an affiliated faculty of Artificial Intelligence Research Institute for Science and Engineering (<a href=\"https:\/\/clemson.edu\/airise\">AIRISE<\/a>), attended the Fall 2022 Clemson AI Collaboration - New Faculty Welcome event, organized by AIRISE, Watt AI, and the CU-MUSC AI Hub.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 09\/29\/2022: Prof. Zhen Li was invited to give a Physics &amp; Astronomy Colloquium at Clemson University on \"Scale-Bridging in Fluid Systems through Multiscale Modeling and Machine Learning Approaches\".<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 09\/16\/2022: Prof. Zhen Li was invited to visit the Department of Mathematics and Statistics at UNC Charlotte and gave a colloquium on \"Memory Effects in Coarse-Grained Modeling of Soft Matter\".<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 08\/29\/2022: Welcome Salahudin Sheikh to visit the MuthComp group from Toulouse INP, France. He will study anomalous transport processes in emulsion systems in collaboration with MuthComp members including Faisal Tushar and Ali Mohammadi.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 08\/17\/2022: Prof. Zhen Li received a DOE\/EFRC grant as Thrust lead co-PI entitled \"Artificially Intelligent Manufacturing Paradigm for Composites (AIM for Composites)\", which is Clemson's first EFRC.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 08\/15\/2022: Welcome Ezhin Aliahmadi to join the MuthComp group. She will start her journey in scientific research at Clemson to explore the multiphase phenomena and physics-informed machine learning methods.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 07\/25\/2022: Prof. Zhen Li participated in the 2022 NSF CSSI PI meeting held in Alexandria, VA and presented a poster titled \"Collaborative Research: Elements: SciMem: Enabling High Performance Multi-Scale Simulation on Big Memory Platforms\". (see <a href=\"https:\/\/doi.org\/10.5281\/zenodo.6858186\"><font color=\"#00cc00\">DOI: 10.5281\/zenodo.6858186<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 07\/15\/2022: Raja Villareal (a high school student) from the South Carolina Governor\u2019s School for Science and Mathematics (GSSM) finished his Summer Program for Research Interns (SPRI) project in the MuthComp group and introduced his research results via a poster presentation titled \"Exploring the microphase separation of thermoresponsive polymers induced by temperature changes\" in the SPRI Poster Session 2022. <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 06\/27\/2022: Prof. Zhen Li gave an invited talk entitled \"Long-Time Mesoscopic Simulation of Microvascular Blood Flow in Zebrafish Enabled by a Multiscale Parallel-in-Time Method\" virtually in the <a href=\"https:\/\/pasc22.pasc-conference.org\/\"><font color=\"#00cc00\">2022 Platform for Advanced Scientific Computing (PASC) Conference<\/font><\/a> held in Basel, Switzerland, June 27-29, 2022.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 06\/25\/2022: our paper \"Flow Reduction in Pore Networks of Packed Silica Nanoparticles: Insights from Mesoscopic Fluid Models\" was published in Langmuir. (see <a href=\"https:\/\/doi.org\/10.1021\/acs.langmuir.2c01038\"><font color=\"#00cc00\">DOI: 10.1021\/acs.langmuir.2c01038<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 06\/23\/2022: Prof. Zhen Li and his graduate student, Ali Mohammadi, participated in the <a href=\"https:\/\/www.usnctam2022.org\/\"><font color=\"#00cc00\">19th U.S. National Congress on Theoretical and Applied Mechanics (USNC\/TAM)<\/font><\/a> held in University of Texas at Austin, June 19-24, 2022. Dr. Li gave an invited talk on \"Long-time Mesoscale Fluid Dynamics Simulation Enabled by a Supervised Parallel-in-time Method\", and Ali presented his research on \"Directed Anomalous Transport of Self-Propelled Nanoparticles in Newtonian Fluid with Thermal Gradients\".<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 05\/24\/2022: our paper \"Theory and simulation of electrokinetic fluctuations in electrolyte solutions at the mesoscale\" was published in Journal of Fluid Mechanics. This article has been published as Open Access via an agreement between Clemson University and Cambridge University Press. (see <a href=\"https:\/\/doi.org\/10.1017\/jfm.2022.377\"><font color=\"#00cc00\">DOI: 10.1017\/jfm.2022.377<\/font><\/a>) [<a href=\"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/343973A01D3BB73E0E19C452D7EE145B\/S0022112022003779a.pdf\"><font color=\"#C70039\">Open Access<\/font><\/a>]<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 05\/20\/2022: our paper \"An energy-conservative many-body dissipative particle dynamics model for thermocapillary drop motion\" was published in Physics of Fluids. (see <a href=\"https:\/\/doi.org\/10.1063\/5.0088238\"><font color=\"#00cc00\">DOI: 10.1063\/5.0088238<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 05\/19\/2022: Prof. Zhen Li gave an invited virtual live seminar on \"Mathematical Foundation of Coarse-Graining and Machine-Learning Methods Applied to Multiscale Problems\" in the Center of Mathematical Sciences at Huazhong University of Science and Technology.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 05\/17\/2022: Prof. Zhen Li received an NSF grant as co-PI entitled \"CDS&amp;E: HAM3R: Heterogeneous Automated Management of Multiscale Methods and Resources\".<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 05\/08\/2022: The MuthComp group participated in the 3-day <a href=\"https:\/\/artisphere.org\/\"><font color=\"#C70039\">Annual Artisphere Festival<\/font><\/a> at Greenville. As part of the Clemson University\u2019s STEAM Exhibit, the MuthComp booth has served more than 100 families with kids to have their first ever supercomputer experience using Clemson's Palmetto cluster. Kids and adults experienced themselves the power of Clemson's supercomputer by performing a hand-on tutorial of high-performance scientific computing and playing with their own 3D simulation movies. See photos in <a href=\"https:\/\/cecas.clemson.edu\/zhenli\/gallery\/\"><font color=\"#C70039\">Gallery<\/font><\/a>.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n\n<li> 04\/20\/2022: Prof. Zhen Li acts as the Guest Editor of <a href=\"https:\/\/www.springer.com\/journal\/10483\"><font color=\"#C70039\">Applied Mathematics and Mechanics<\/font><\/a> (A traditional Springer journal, Q1 in Applied Math, Q2 in Mechanics, IF is 3.918) to organize a Special Issue on \"Machine-Learning Approaches for Computational Mechanics\" to be published in early 2023.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 04\/11\/2022: Congratulations to Prof. Zhen Li for winning the <strong>Award of Excellence - Junior Faculty<\/strong> for 2021-2022.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 03\/09\/2022: our paper \"Multiphysics and multiscale modeling of microthrombosis in COVID-19\" was published in PLOS Computational Biology. (see <a href=\"https:\/\/doi.org\/10.1371\/journal.pcbi.1009892\"><font color=\"#00cc00\">DOI: 10.1371\/journal.pcbi.1009892<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 02\/25\/2022: Congratulations to our team member Jonathan Despeaux, who was awarded by the Undergraduate Research Grants from the College of Engineering, Computing and Applied Sciences at Clemson University to support his on-going undergraduate research.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 02\/01\/2022: our recent paper on blood flows in retinal microaneurysms has been highlighted on the Cover of PLOS Computational Biology in the first issue of 2022. (see <a href=\"https:\/\/journals.plos.org\/ploscompbiol\/issue#Cover\"><font color=\"#C70039\">Journal Cover Article<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 01\/13\/2022: our paper \"Multiscale computational framework for predicting viscoelasticity of red blood cells in aging and mechanical fatigue\" was published in Computer Methods in Applied Mechanics and Engineering. (see <a href=\"https:\/\/doi.org\/10.1016\/j.cma.2021.114535\"><font color=\"#00cc00\">DOI: 10.1016\/j.cma.2021.114535<\/font><\/a>) [<a href=\"https:\/\/authors.elsevier.com\/c\/1eP49AQEIvio2\"><font color=\"#C70039\">50 Days' Free Access<\/font><\/a>] <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 01\/05\/2022: our paper \"Computational investigation of blood cell transport in retinal microaneurysms\" was published in PLOS Computational Biology. (see <a href=\"https:\/\/doi.org\/10.1371\/journal.pcbi.1009728\"><font color=\"#00cc00\">DOI: 10.1371\/journal.pcbi.1009728<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 10\/26\/2021: our paper \"A seamless multiscale operator neural network for inferring bubble dynamics\" was published in Journal of Fluid Mechanics. (see <a href=\"https:\/\/doi.org\/10.1017\/jfm.2021.866\"><font color=\"#00cc00\">DOI: 10.1017\/jfm.2021.866<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 10\/18\/2021: Prof. Zhen Li gave an invited talk on \"Parallel computing technology and accelerated convergence algorithms\" in the symposium \"Machine Learning Methods in Fluid Mechanics\" at the 21st IACM (International Association for Computational Mechanics) Computational Fluid Conference (CFC 2021) (<a href=\"http:\/\/www.cfc2021.org\/\"><font color=\"#00cc00\">CFC 2021<\/font><\/a>).<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 09\/30\/2021: our paper \"Flow reduction of hydrocarbon liquid in silica nanochannel: Insight from many-body dissipative particle dynamics simulations\" was published in Journal of Molecular Liquids. (see <a href=\"https:\/\/doi.org\/10.1016\/j.molliq.2021.117673\"><font color=\"#00cc00\">DOI: 10.1016\/j.molliq.2021.117673<\/font><\/a>) [<a href=\"https:\/\/authors.elsevier.com\/c\/1dtQIc8qpSvRr\"><font color=\"#C70039\">50 Days' Free Access<\/font><\/a>] <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 08\/25\/2021: our paper \"Multiscale parareal algorithm for long-time mesoscopic simulations of microvascular blood flow in zebrafish\" was published in Computational Mechanics. (see <a href=\"https:\/\/doi.org\/10.1007\/s00466-021-02062-w\"><font color=\"#00cc00\">DOI: 10.1007\/s00466-021-02062-w<\/font><\/a>) <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 08\/19\/2021: Prof. Zhen Li co-organized a symposium on the topic of \"<strong>Multiscale Methods and Mechanics of Soft Matter and Hierarchical Materials<\/strong>\" in 19th U.S. National Congress on Theoretical and Applied Mechanics to be held June 19-24, 2022 in Austin, Texas (<a href=\"http:\/\/www.usnctam2022.org\/\"><font color=\"#00cc00\">USNC\/TAM 2022<\/font><\/a>). USNC\/TAM is held every four years. If you are interested in joining us, please submit your abstract to the mini-symposium MS-322 by December 18, 2021.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 08\/12\/2021: The MuthComp research team, including Zhen Li, Faisal Tushar, Ali Mohammadi and  Jonathan Despeaux attended the IMA (Institute for Mathematics and its Applications) Workshop on the Mathematical Foundation and Applications of Deep Learning [<a href=\"https:\/\/sites.google.com\/view\/math-purdue-workshop\/home?_ga=2.122595467.100423519.1629402574-169870154.1627999036\"><font color=\"#00cc00\">Link<\/font><\/a>].<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 07\/28\/2021: Prof. Zhen Li gave an invited talk on \"Parareal Physics-Informed Neural Network for Solving Time-Dependent PDEs\" in the symposium \"Multiscale Methods and Data-Driven Models\" at the 16th U.S. National Congress on Computational Mechanics (<a href=\"http:\/\/16.usnccm.org\/\"><font color=\"#00cc00\">USNCCM16<\/font><\/a>).<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 07\/22\/2021: Welcome Minglei (Miles) Lu to join the MuthComp group. <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 06\/07\/2021: our paper \"A modified many-body dissipative particle dynamics model for mesoscopic fluid simulation: methodology, calibration, and application for hydrocarbon and water\" was published in Molecular Simulation. (see <a href=\"https:\/\/doi.org\/10.1080\/08927022.2021.1876233\"><font color=\"#00cc00\">DOI: 10.1080\/08927022.2021.1876233<\/font><\/a>) <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 06\/01\/2021: Prof. Zhen Li received an NSF grant as PI entitled \"Collaborative Research: Elements: SciMem: Enabling High Performance Multi-Scale Simulation on Big Memory Platforms\".<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 05\/21\/2021: Welcome Jonathan Despeaux to join the MuthComp group. <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 04\/26\/2021: Prof. Zhen Li received a NASA EPSCoR grant as Science-PI entitled \"Impacts of gravity and surfactants on drainage flow and rheology of\nwet foams\".<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 03\/10\/2021: our paper \"Operator learning for predicting multiscale bubble growth dynamics\" was published in The Journal of Chemical Physics. (see <a href=\"https:\/\/doi.org\/10.1063\/5.0041203\"><font color=\"#00cc00\">DOI: 10.1063\/5.0041203<\/font><\/a>) <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 03\/04\/2021: Prof. Zhen Li attended 2021 SIAM Conference on Computational Science and Engineering (SIAM-CSE21) and chaired the minisymposium \"MS-259 Multiscale methods and Data-driven Models\". He also presented recent research progress on \"Active-Learning Methods Applied to Multiscale Modeling of Viscoelastic Flows\". (see <a href=\"https:\/\/meetings.siam.org\/program.cfm?CONFCODE=CSE21\"><font color=\"#00cc00\">SIAM-CSE21<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 02\/03\/2021: our paper \"Integrating blood cell mechanics, platelet adhesive dynamics and coagulation cascade for modelling thrombus formation in normal and diabetic blood\" was published in Journal of The Royal Society Interface. (see <a href=\"https:\/\/doi.org\/10.1098\/rsif.2020.0834\"><font color=\"#00cc00\">DOI: 10.1098\/rsif.2020.0834<\/font><\/a>) <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 01\/06\/2021: Welcome Faisal Tushar, Ali Mohammadi and Jordan Noel to join the MuthComp group. <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 12\/15\/2020: our paper \u201cActive- and transfer-learning applied to microscale-macroscale coupling to simulate viscoelastic flows\u201d was published on Journal of Computational Physics. (see <a href=\"https:\/\/doi.org\/10.1016\/j.jcp.2020.110069\"><font color=\"#00cc00\">DOI: 10.1016\/j.jcp.2020.110069<\/font><\/a>) <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 10\/01\/2020: Prof. Zhen Li attended the CECAM Workshop \"Multiscale Simulations of Soft Matter: New Method Developments and Mathematical Foundations\", and gave an invited talk on \"Non-Markovian Coarse-Grained Models of Polymeric Fluids Derived via the Mori-Zwanzig Formalism\". (see <a href=\"https:\/\/www.cecam.org\/workshop-details\/47#\"><font color=\"#00cc00\">CECAM-DE-SMSM<\/font><\/a>)<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 09\/30\/2020: Prof. Zhen Li chaired the live session on Multiscale Simulations of Virtual Technical Meeting of the Society of Engineering Science (SES) 2020, and gave a recorded lecture on \"Active-learning applied to multiscale modeling of viscoelastic complex fluids\".<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 09\/02\/2020: Prof. Zhen Li received an ARO grant as subaward PI on \"Fractional PDEs for Conservation Laws and Beyond: Theory, Numerics and Applications\".<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 07\/08\/2020: our paper \u201cPPINN: Parareal physics-informed neural network for time-dependent PDEs\u201d was published on Computer Methods in Applied Mechanics and Engineering. (see <a href=\"https:\/\/doi.org\/10.1016\/j.cma.2020.113250\"><font color=\"#00cc00\">DOI: 10.1016\/j.cma.2020.113250<\/font><\/a>) <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 05\/28\/2020: our paper \u201cControlled release of entrapped nanoparticles from thermoresponsive hydrogels with tunable network characteristics\u201d was published on Soft Matter and was featured as the back cover article of Soft Matter. (see <a href=\"https:\/\/doi.org\/10.1039\/D0SM00207K\"><font color=\"#00cc00\">DOI: 10.1039\/D0SM00207K<\/font><\/a>) <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 05\/07\/2020: our paper \u201cA dissipative particle dynamics method for arbitrarily complex geometries\u201d was featured as one of the <a href=\"https:\/\/www.journals.elsevier.com\/journal-of-computational-physics\/most-cited-articles\"><font color=\"#a84e32\">Most Cited Journal of Computational Physics Articles<\/font><\/a>. (see <a href=\"https:\/\/doi.org\/10.1016\/j.jcp.2017.11.014\"><font color=\"#00cc00\">DOI: 10.1016\/j.jcp.2017.11.014<\/font><\/a>) <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 01\/29\/2020: Prof. Zhen Li co-organized a symposium on the topic of \"<strong>Multiscale Modeling and Mechanics of Soft Matter and Hierarchical Materials<\/strong>\" in the Society of Engineering Science (SES) 57th Annual Technical Meeting to be held Sep. 28-30, 2020 at University of Minnesota (<a href=\"https:\/\/ccaps.umn.edu\/SES\"><font color=\"#00cc00\">https:\/\/ccaps.umn.edu\/SES<\/font><\/a>). If you are interested in joining us, please submit your abstract to our symposium under Scientific Track 5 by April 15, 2020.<\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 12\/02\/2019: our paper \u201cA GPU-accelerated package for simulation of flow in nanoporous source rocks with many-body dissipative particle dynamics\u201d was published on Computer Physics Communications and released the Open-Source GPU-accelerated DPD simulator USERMESO-2.5. (see <a href=\"https:\/\/doi.org\/10.1016\/j.cpc.2019.106874\"><font color=\"#00cc00\">DOI: 10.1016\/j.cpc.2019.106874<\/font><\/a>) <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 11\/21\/2019: Our teamwork \"Nanoporous Flow Simulations on the Summit Supercomputer\" in collaboration with Idaho National Lab, IBM, Brown University, University of Utah and Lawrence Berkeley National Lab won the Best Research Poster Award in SC19 (The International Conference for High Performance Computing, Networking, Storage, and Analysis). Congratulations to our great team. <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 10\/23\/2019: Prof. Zhen Li attended The 91st Annual Meeting of The Society of Rheology held in Raleigh, North Carolina, and presented a recent work on \u201cActive- and transfer-learning applied to microscale-macroscale coupling in modeling of viscoelastic flows\u201d. <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 10\/02\/2019: our paper \u201cImplicit-solvent coarse-grained modeling for polymer solutions via Mori-Zwanzig formalism\u201d was published on Soft Matter and was featured as the back cover article of Soft Matter. (see <a href=\"https:\/\/doi.org\/10.1039\/C9SM01211G\"><font color=\"#00cc00\">DOI: 10.1039\/C9SM01211G<\/font><\/a>) <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 09\/19\/2019: our paper \u201cEffect of Wetting and Dewetting Dynamics on Atomic Force Microscopy Measurements\u201d was published on Langmuir. (see <a href=\"https:\/\/doi.org\/10.1021\/acs.langmuir.9b02575\"><font color=\"#00cc00\">DOI: 10.1021\/acs.langmuir.9b02575<\/font><\/a>) <\/li>\n<p style=\"line-height: 50%\"><\/p>\n\n<li> 08\/21\/2019: our paper \u201cQuantitative prediction of erythrocyte sickling for the development of advanced sickle cell therapies\u201d was published on Science Advances, and was highlighted on its webpage (see <a href=\"https:\/\/www.science.org\/doi\/10.1126\/sciadv.aax3905\"><font color=\"#00cc00\">Developing sickle cell drugs<\/font><\/a>). <\/li>\n\n<p style=\"line-height: 50%\"><\/p>\n<li> 08\/15\/2019: The <strong>MuthComp<\/strong> (<font color=\"#0b6cea\">Mu<\/font>ltiscale <font color=\"#0b6cea\">th<\/font>eory and <font color=\"#0b6cea\">Comp<\/font>utation) group is established. <\/li>\n\n<\/ul>\n\n\n<hr class=\"new\">\n\n\n\n<div id=\"counter\"><a href=\"http:\/\/s11.flagcounter.com\/more\/8gIY\"><img decoding=\"async\" src=\"https:\/\/s11.flagcounter.com\/count2\/8gIY\/bg_3A4958\/txt_FAFAFA\/border_3A4958\/columns_2\/maxflags_8\/viewers_0\/labels_0\/pageviews_1\/flags_0\/percent_0\/\" alt=\"Flag Counter\" border=\"0\"><\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Welcome to the MuthComp Group We are developing the interface of Engineering, Applied Mathematics, Physics-based Machine Learning, and High Performance Scientific Computing, focusing on multiscale phenomena in complex fluids, functional materials, biophysics and soft matter, for engineering design and discovery of next-generation multifunctional soft materials. 1 \/ 8 Concurrent Coupling of Heterogeneous Solvers 2 \/ &hellip; <a href=\"https:\/\/cecas.clemson.edu\/zhenli\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Home<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":6,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-6","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cecas.clemson.edu\/zhenli\/wp-json\/wp\/v2\/pages\/6","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cecas.clemson.edu\/zhenli\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cecas.clemson.edu\/zhenli\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cecas.clemson.edu\/zhenli\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/cecas.clemson.edu\/zhenli\/wp-json\/wp\/v2\/comments?post=6"}],"version-history":[{"count":269,"href":"https:\/\/cecas.clemson.edu\/zhenli\/wp-json\/wp\/v2\/pages\/6\/revisions"}],"predecessor-version":[{"id":3610,"href":"https:\/\/cecas.clemson.edu\/zhenli\/wp-json\/wp\/v2\/pages\/6\/revisions\/3610"}],"wp:attachment":[{"href":"https:\/\/cecas.clemson.edu\/zhenli\/wp-json\/wp\/v2\/media?parent=6"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}