MCDC Group specializes in developing fundamental understanding of materials at atomic and electronic levels. Some areas of work include
We use DFT coupled with data science to predict properties in unknown/new materials
PREDICT: PRedict properties from Existing Database in Complex materials Territory
We develop methods to overcome large phase-space challenge in chemically-complex materials
News/Updates
2023
Thanks to our fellow MSE faculty member, Prof. Marian Kennedy, for documenting others’ experiences in STEM academia! Thanks for the opportunity.
MCDC gave three talks at MS&T 2023 Columbus, Ohio in three different symposia! Good to see diversity of our work.
Great to be invited to give a talk at E-MRS, Warsaw! Wonderful experience of the city and the vibrant conference!
MCDC gave two talks at ICME, Orlando.
Nathan Linton presented on: Elastic Constants Predictions in Multi-Principal Element Alloys from DFT and Machine Learning
DP Aidhy presented on: Charge-Density based Convolutional Neural Networks for Stacking Fault Energy Prediction in Concentrated Alloys
MCDC is excited to welcome Joshua Carroll, a Secondary Education Science Teacher in nearby Greenville County Schools, under an RET program run by Prof. Molly Kennedy. Joshua will spend summer with us to co-learn computational aspects of advanced manufacturing!
MCDC is awarded an NSF CDSE proposal to develop image-recognition based framework to predict properties in high entropy alloys. MCDC will work with Prof. Tahmasebi and Kamrava from Colorado School of Mines.
MCDC group expands with new students in MSE and Computer Science.
Nathan Linton paper on predictions of elastic constants in high entropy alloys from the database of binary alloys using our PREDICT approach is published in APL Machine Learning.
2022
MCDC group moves to Clemson University from University of Wyoming in Fall 2022.