Articles with public access mandates - Yuri MishinLearn more
Not available anywhere: 3
First-principles study of thermodynamical and mechanical stabilities of thin copper film on tantalum
A Hashibon, C Elsässer, Y Mishin, P Gumbsch
Physical Review B—Condensed Matter and Materials Physics 76 (24), 245434, 2007
Mandates: German Research Foundation
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
Mandates: US National Aeronautics and Space Administration
Plastic deformation by grain boundary motion: experiments and simulations
DA Molodov, Y Mishin
Microstructural Design of Advanced Engineering Materials, 201-233, 2013
Mandates: German Research Foundation
Available somewhere: 40
Physically informed artificial neural networks for atomistic modeling of materials
GPP Pun, R Batra, R Ramprasad, Y Mishin
Nature communications 10 (1), 2339, 2019
Mandates: US Department of Defense
Machine-learning interatomic potentials for materials science
Y Mishin
Acta Materialia 214, 116980, 2021
Mandates: US Department of Defense
Effect of Interface Phase Transformations on Diffusion and Segregation<? format?> in High-Angle Grain Boundaries
T Frolov, SV Divinski, M Asta, Y Mishin
Physical review letters 110 (25), 255502, 2013
Mandates: German Research Foundation
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
Mandates: US National Aeronautics and Space Administration
Atomistic study of grain-boundary segregation and grain-boundary diffusion in Al-Mg alloys
RK Koju, Y Mishin
Acta Materialia 201, 596-603, 2020
Mandates: US National Science Foundation
Nickel nanoparticles set a new record of strength
A Sharma, J Hickman, N Gazit, E Rabkin, Y Mishin
Nature communications 9 (1), 4102, 2018
Mandates: US National Science Foundation, National Natural Science Foundation of China
Microstructural evolution in a nanocrystalline Cu-Ta alloy: A combined in-situ TEM and atomistic study
M Rajagopalan, K Darling, S Turnage, RK Koju, B Hornbuckle, Y Mishin, ...
Materials & design 113, 178-185, 2017
Mandates: US Department of Defense
Optimized interatomic potential for silicon and its application to thermal stability of silicene
GPP Pun, Y Mishin
Physical Review B 95 (22), 224103, 2017
Mandates: US Department of Energy
Atomistic modeling of capillary-driven grain boundary motion in Cu-Ta alloys
RK Koju, KA Darling, KN Solanki, Y Mishin
Acta Materialia 148, 311-319, 2018
Mandates: US National Science Foundation, US Department of Defense
Interatomic potential for the Cu-Ta system and its application to surface wetting and dewetting
A Hashibon, AY Lozovoi, Y Mishin, C Elsässer, P Gumbsch
Physical Review B—Condensed Matter and Materials Physics 77 (9), 094131, 2008
Mandates: German Research Foundation
Unraveling the dislocation core structure at a van der Waals gap in bismuth telluride
DL Medlin, N Yang, CD Spataru, LM Hale, Y Mishin
Nature communications 10 (1), 1820, 2019
Mandates: US Department of Energy, US Department of Defense
Nanotechnology enabled design of a structural material with extreme strength as well as thermal and electrical properties
M Rajagopalan, KA Darling, C Kale, SA Turnage, RK Koju, ...
Materials Today 31, 10-20, 2019
Mandates: US National Science Foundation, US Department of Defense
Angular-dependent interatomic potential for the binary Ni–Cr system
CA Howells, Y Mishin
Modelling and Simulation in Materials Science and Engineering 26 (8), 085008, 2018
Mandates: US National Science Foundation
Extra variable in grain boundary description
J Hickman, Y Mishin
Physical Review Materials 1 (1), 010601, 2017
Mandates: US Department of Energy
Temperature fluctuations in canonical systems: Insights from molecular dynamics simulations
J Hickman, Y Mishin
Physical Review B 94 (18), 184311, 2016
Mandates: US Department of Energy
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
Mandates: US Department of Defense, US National Aeronautics and Space Administration
Direct atomistic modeling of solute drag by moving grain boundaries
RK Koju, Y Mishin
Acta Materialia 198, 111-120, 2020
Mandates: US National Science Foundation
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