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pro vyhledávání: '"random alloys"'
Autor:
Hodapp, Max
Publikováno v:
Computational Materials Today 5 (2025) 100018
Understanding the physical origin of deformation mechanisms in random alloys requires an understanding of their average behavior and, equally important, the role of local fluctuations around the average. Material properties of random alloys can be co
Externí odkaz:
http://arxiv.org/abs/2408.01216
Autor:
Mubassira, Subah a, Fani, Mahshad a, Raj, Anshu a, Hirt, Cliff a, Brinlee, Richard S. a, Poozesh, Amin a, Jian, Wu-Rong b, Chavoshi, Saeed Zare c, Lee, Chanho d, Xu, Shuozhi a, ⁎
Publikováno v:
In Computational Materials Science February 2025 248
Publikováno v:
APL Machine Learning. Jun2024, Vol. 2 Issue 2, p1-8. 8p.
Publikováno v:
J. Appl. Phys. 133, 035102 (2023)
We have developed a multi-scale self-consistent method to study the charge conductivity of a porous system or a metallic matrix alloyed by randomly distributed nonmetallic grains and vacancies by incorporating Schr\"{o}dinger's equation and Poisson's
Externí odkaz:
http://arxiv.org/abs/2301.07569
Publikováno v:
In Computational Materials Science 15 February 2024 235
Publikováno v:
In Acta Materialia 15 September 2023 257
Publikováno v:
APL Machine Learning, Vol 2, Iss 2, Pp 026107-026107-8 (2024)
Refractory non-dilute random alloys consist of two or more principal refractory metals with complex interactions that modify their basic structural properties such as lattice parameters and elastic constants. Atomistic simulations (ASs) are an effect
Externí odkaz:
https://doaj.org/article/1a3997d14ca34a8dab917fab7fa84564
Autor:
Hodapp, Max, Shapeev, Alexander
Publikováno v:
Phys. Rev. Materials 5, 113802 (2021)
We present an automated procedure for computing stacking fault energies in random alloys from large-scale simulations using moment tensor potentials (MTPs) with the accuracy of density functional theory (DFT). To that end, we develop an algorithm for
Externí odkaz:
http://arxiv.org/abs/2107.05620
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