Grain-boundary kinetics: A unified approach
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 …
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
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 …
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
QuantumATK is an integrated set of atomic-scale modelling tools developed since 2003 by
professional software engineers in collaboration with academic researchers. While different …
professional software engineers in collaboration with academic researchers. While different …
Extra strengthening and work hardening in gradient nanotwinned metals
INTRODUCTION Gradient structures ubiquitously exist in natural materials such as bone,
shells, and trees. Microstructural gradients are increasingly being introduced into a wide …
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
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 …
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
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 …
hardening capacity and poor thermal stability, causing premature failure and limiting their …
Thermodynamically consistent physics-informed neural networks for hyperbolic systems
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 …
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
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 …
atomic arrangement compared to the grain interior. While the GB structure has a crucial …
Ultra-strength materials
Recent experiments on nanostructured materials, such as nanoparticles, nanowires,
nanotubes, nanopillars, thin films, and nanocrystals have revealed a host of “ultra-strength” …
nanotubes, nanopillars, thin films, and nanocrystals have revealed a host of “ultra-strength” …
Structural relaxation made simple
We introduce a simple local atomic structure optimization algorithm which is significantly
faster than standard implementations of the conjugate gradient method and often …
faster than standard implementations of the conjugate gradient method and often …