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20102026
most citedAn Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications

2.1k citations

Showing 2020 · cond-mat.mtrl-sciShow all

5 papers · 2 filters

cond-mat.mtrl-sci2020★ 224 cited

Accelerating first-principles estimation of thermal conductivity by machine-learning interatomic potentials: A MTP/ShengBTE solution

Bohayra Mortazavi, Evgeny P. Podryabinkin, Ivan S. Nvikovb +3

Accurate evaluation of the thermal conductivity of a material can be a challenging task from both experimental and theoretical points of view. In particular for the nanostructured…

cond-mat.mtrl-sci2020

Dislocation impediment by the grain boundaries in polycrystals

Yinguang Piao, Khanh Chau Le

Thermodynamic dislocation theory incorporating dislocation impediment by the grain boundaries is developed to analyze the shear test of polycrystals. With a small set of physics ba…

cond-mat.mtrl-sci2020★ 2 cited

Plane constrained shear of single crystals

Fabian Günther, Khanh Chau Le

This paper studies the plane constrained shear problem for single crystals having one active slip system and subjected to loading in both directions within the small strain thermod…

cond-mat.mtrl-sci2020★ 22 cited

Scaling Confirmation of the Thermodynamic Dislocation Theory

J. S. Langer, K. C. Le

We show that the thermodynamic dislocation theory (TDT) predicts a scaling relation between stresses, strain rates, and temperatures for steady-state deformations of crystalline so…

cond-mat.mtrl-sci2020★ 35 cited

Induced Ferromagnetism in bilayer Hexagonal Boron Nitride (h-BN) on vacancy defects at B and N sites

B. Chettri, P. K. Patra, Tuan V. Vu +6

We investigated the electronic and optical properties of bilayer AB stacked Boron and Nitrogen vacancies in hexagonal Boron Nitride (h-BN) using density functional theory (DFT). Th…