Mark A. Tschopp, Ph.D.
Affiliations: | 2007 | Georgia Institute of Technology, Atlanta, GA |
Area:
Materials Science Engineering, Mechanical EngineeringGoogle:
"Mark Tschopp"Parents
Sign in to add mentor| Donald R. Askeland | grad student | 1998-1999 | University of Missouri-Rolla | |
| David L. McDowell | grad student | 2003-2007 | Georgia Tech | |
| (Atomistic simulations of dislocation nucleation in single crystals and grain boundaries.) | ||||
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Dyar C, Brauer S, Williams W, et al. (2020) Enhancing Mechanical Properties of Hot Wrought Steel by Microalloying and Optimizing Heat Treatments Journal of Materials Engineering and Performance. 29: 5374-5387 |
| Seifi SH, Tian W, Doude H, et al. (2019) Layer-Wise Modeling and Anomaly Detection for Laser-Based Additive Manufacturing Journal of Manufacturing Science and Engineering. 141 |
| Chavoshi SZ, Tschopp MA, Branicio PS. (2019) Transition of deformation mechanisms in nanotwinned single crystalline SiC Philosophical Magazine. 99: 2636-2660 |
| Aboutaleb AM, Mahtabi MJ, Tschopp MA, et al. (2019) Multi-objective accelerated process optimization of mechanical properties in laser-based additive manufacturing: Case study on Selective Laser Melting (SLM) Ti-6Al-4V Journal of Manufacturing Processes. 38: 432-444 |
| Hernández-Rivera E, Chowdhury S, Coleman SP, et al. (2018) Integrating exploratory data analytics into ReaxFF parameterization Mrs Communications. 8: 1300-1310 |
| Turnage SA, Darling KA, Rajagopalan M, et al. (2018) Influence of variable processing conditions on the quasi-static and dynamic behaviors of resistance spot welded aluminum 6061-T6 sheets Materials Science and Engineering a-Structural Materials Properties Microstructure and Processing. 724: 509-517 |
| Khanzadeh M, Chowdhury S, Marufuzzaman M, et al. (2018) Porosity prediction: Supervised-learning of thermal history for direct laser deposition Journal of Manufacturing Systems. 47: 69-82 |
| Banadaki AD, Tschopp MA, Patala S. (2018) An efficient Monte Carlo algorithm for determining the minimum energy structures of metallic grain boundaries Computational Materials Science. 155: 466-475 |
| Foley DJ, Coleman SP, Tschopp MA, et al. (2018) Correlating deformation mechanisms with X-ray diffraction phenomena in nanocrystalline metals using atomistic simulations Computational Materials Science. 154: 178-186 |
| Goins PE, Murdoch HA, Hernández-Rivera E, et al. (2018) Effect of magnetic fields on microstructure evolution Computational Materials Science. 150: 464-474 |