Mohan Surya Raja Elapolu
Mohan Surya Raja Elapolu
Post-Doctoral Researcher
Postdoctoral Researcher
Department of Automotive Engineering
International Center for Automotive Research
4 research drive, Greenville, SC 29607
Clemson University
Email: melapol<at>clemson<dot>edu
Department of Automotive Engineering
International Center for Automotive Research
4 research drive, Greenville, SC 29607
Clemson University
Email: melapol<at>clemson<dot>edu
Research Interests
Machine learning, Data analysis, Computational mechanics, Fracture mechanics,
Material science, Molecular dynamics,
Finite element analysis, Scalable algorithms, Topology optimization,
and Additive manufacturing Educational Background
- Doctor of Philosophy (Ph.D.), Mechanical Engineering, 2017 - 2021
- The University of North Carolina at Charlotte (UNCC)
Work Experience
- Postdoctoral Fellow 2021 - Present
- GRAIL Lab,
- PhD Student 2017 - 2021
- Multiscale Materials Modeling Lab, UNCC
- Lead Teaching assistant 2017 - 2021
- Instrumentation lab, UNCC
- Professor 2019 - 2019
- Instrumentation lab, UNCC
- Operation Engineer2012 - 2015
- Essar Oilfield Services India Ltd
- Mechanic2009 - 2012
- Essar Oilfield Services India Ltd
- Assistant Manager2007 - 2009
- Essar Oilfield Services India Ltd
Publications
- A Novel Approach for Studying Crack Propagation in Polycrystalline Graphene Using Machine Learning Algorithms, Computational Materials Science, 2021
- Mechanical and fracture properties of polycrystalline graphene with hydrogenated grain boundaries." The Journal of Physical Chemistry C, 2021
- Atomistic Simulation-Based Cohesive Zone Law of Hydrogenated Grain Boundaries of Graphene, The Journal of Physical Chemistry C, 2020
- An Atomistic Study of the Stress Corrosion Cracking in Graphene, The Journal of Physical Chemistry A, 2020
- Phononic thermal transport properties of C3N nanotubes, Nanotechnology, 2019
- Fracture mechanics of multi-layer molybdenum disulfide, Engineering Fracture Mechanics, 2019
- Kapitza conductance of symmetric tilt grain boundaries of monolayer boron nitride, Computational Materials Science, 2018