Development of an interatomic potential for the Ni-Al system GP Purja Pun, Y Mishin Philosophical Magazine 89 (34-36), 3245-3267, 2009 | 498 | 2009 |
Physically informed artificial neural networks for atomistic modeling of materials GPP Pun, R Batra, R Ramprasad, Y Mishin Nature communications 10 (1), 2339, 2019 | 259 | 2019 |
Interatomic potential for the ternary Ni–Al–Co system and application to atomistic modeling of the B2–L10 martensitic transformation GPP Pun, V Yamakov, Y Mishin Modelling and Simulation in Materials Science and Engineering 23 (6), 065006, 2015 | 115 | 2015 |
Angular-dependent interatomic potential for the Cu–Ta system and its application to structural stability of nano-crystalline alloys GPP Pun, KA Darling, LJ Kecskes, Y Mishin Acta Materialia 100, 377-391, 2015 | 109 | 2015 |
Embedded-atom potential for hcp and fcc cobalt GPP Pun, Y Mishin Physical Review B 86 (13), 134116, 2012 | 93 | 2012 |
A molecular dynamics study of self-diffusion in the cores of screw and edge dislocations in aluminum GPP Pun, Y Mishin Acta Materialia 57 (18), 5531-5542, 2009 | 90 | 2009 |
Effect of Ta solute concentration on the microstructural evolution in immiscible Cu-Ta alloys BC Hornbuckle, T Rojhirunsakool, M Rajagopalan, T Alam, GP Purja Pun, ... Jom 67, 2802-2809, 2015 | 68 | 2015 |
Optimized interatomic potential for silicon and its application to thermal stability of silicene GPP Pun, Y Mishin Physical Review B 95 (22), 224103, 2017 | 53 | 2017 |
Molecular dynamics simulation of the martensitic phase transformation in NiAl alloys GPP Pun, Y Mishin Journal of Physics: Condensed Matter 22 (39), 395403, 2010 | 41 | 2010 |
Structure and thermal decomposition of a nanocrystalline mechanically alloyed supersaturated Cu–Ta solid solution T Rojhirunsakool, KA Darling, MA Tschopp, GPP Pun, Y Mishin, ... MRS Communications 5 (2), 333-339, 2015 | 30 | 2015 |
Development of a general-purpose machine-learning interatomic potential for aluminum by the physically informed neural network method GPP Pun, V Yamakov, J Hickman, EH Glaessgen, Y Mishin Physical Review Materials 4 (11), 113807, 2020 | 28 | 2020 |
Multiscale modeling of sensory properties of Co–Ni–Al shape memory particles embedded in an Al metal matrix V Yamakov, JD Hochhalter, WP Leser, JE Warner, JA Newman, ... Journal of materials science 51, 1204-1216, 2016 | 28 | 2016 |
Development of a physically-informed neural network interatomic potential for tantalum YS Lin, GPP Pun, Y Mishin Computational Materials Science 205, 111180, 2022 | 13 | 2022 |
A molecular dynamics study of self-diffusion in the core of a screw dislocation in Al GP Purja Pun, Y Mishin Defect and Diffusion Forum 266, 49-62, 2007 | 4 | 2007 |
Atomistic Modeling of Diffusion and Phase Transformations in Metals and Alloys GPP Pun George Mason University, 2011 | 1 | 2011 |
Physically-Informed Artificial Neural Networks for Atomistic Modeling of Materials J Hickman, GPP Pun, VI Yamakov, Y Mishin USACM Workshop: Recent Advances in the Modeling and Simulation of the …, 2019 | | 2019 |
Computational Modeling and Experimental Characterization of Martensitic Transformations in NiCoAl for Self-Sensing Materials TA Wallace, VI Yamakov, JD Hochhalter, WP Leser, JE Warner, ... Proceedings of the 3rd World Congress on Integrated Computational Materials …, 2016 | | 2016 |
Molecular Dynamics and Experimental Characterization of Martensitic Transformations in CONIAi Alloys VI Yamakov, TA Wallace, JA Newman, GPP Pun, Y Mishin 8th International Conference on Processing and Manufacturing of Advanced …, 2013 | | 2013 |