Grain-boundary kinetics: A unified approach

J Han, SL Thomas, DJ Srolovitz - Progress in Materials Science, 2018 - Elsevier
Grain boundaries (GBs) are central defects for describing polycrystalline materials, and
playing major role in a wide-range of physical properties of polycrystals. Control over GB …

Atomic-level structure and structure–property relationship in metallic glasses

YQ Cheng, E Ma - Progress in materials science, 2011 - Elsevier
The structure of metallic glasses (MGs) has been a long-standing mystery. On the one hand,
MGs are amorphous materials with no long-range structural order; on the other hand …

QuantumATK: an integrated platform of electronic and atomic-scale modelling tools

S Smidstrup, T Markussen… - Journal of Physics …, 2019 - iopscience.iop.org
QuantumATK is an integrated set of atomic-scale modelling tools developed since 2003 by
professional software engineers in collaboration with academic researchers. While different …

Extra strengthening and work hardening in gradient nanotwinned metals

Z Cheng, H Zhou, Q Lu, H Gao, L Lu - Science, 2018 - science.org
INTRODUCTION Gradient structures ubiquitously exist in natural materials such as bone,
shells, and trees. Microstructural gradients are increasingly being introduced into a wide …

Performant implementation of the atomic cluster expansion (PACE) and application to copper and silicon

Y Lysogorskiy, C Oord, A Bochkarev, S Menon… - npj computational …, 2021 - nature.com
The atomic cluster expansion is a general polynomial expansion of the atomic energy in
multi-atom basis functions. Here we implement the atomic cluster expansion in the …

A nanodispersion-in-nanograins strategy for ultra-strong, ductile and stable metal nanocomposites

Z Li, Y Zhang, Z Zhang, YT Cui, Q Guo, P Liu… - Nature …, 2022 - nature.com
Nanograined metals have the merit of high strength, but usually suffer from low work
hardening capacity and poor thermal stability, causing premature failure and limiting their …

Thermodynamically consistent physics-informed neural networks for hyperbolic systems

RG Patel, I Manickam, NA Trask, MA Wood… - Journal of …, 2022 - Elsevier
Physics-informed neural network architectures have emerged as a powerful tool for
develo** flexible PDE solvers that easily assimilate data. When applied to problems in …

Understanding grain boundary electrical resistivity in Cu: the effect of boundary structure

H Bishara, S Lee, T Brink, M Ghidelli, G Dehm - ACS nano, 2021 - ACS Publications
Grain boundaries (GBs) in metals usually increase electrical resistivity due to their distinct
atomic arrangement compared to the grain interior. While the GB structure has a crucial …

Ultra-strength materials

T Zhu, J Li - Progress in Materials Science, 2010 - Elsevier
Recent experiments on nanostructured materials, such as nanoparticles, nanowires,
nanotubes, nanopillars, thin films, and nanocrystals have revealed a host of “ultra-strength” …

Structural relaxation made simple

E Bitzek, P Koskinen, F Gähler, M Moseler… - Physical review letters, 2006 - APS
We introduce a simple local atomic structure optimization algorithm which is significantly
faster than standard implementations of the conjugate gradient method and often …