Exascale applications: skin in the game

F Alexander, A Almgren, J Bell… - … of the Royal …, 2020 - royalsocietypublishing.org
As noted in Wikipedia, skin in the game refers to having 'incurred risk by being involved in
achieving a goal', where 'skin is a synecdoche for the person involved, and game is the …

Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials

AP Thompson, LP Swiler, CR Trott, SM Foiles… - Journal of …, 2015 - Elsevier
We present a new interatomic potential for solids and liquids called Spectral Neighbor
Analysis Potential (SNAP). The SNAP potential has a very general form and uses machine …

Application of machine learning in understanding the irradiation damage mechanism of high-entropy materials

S Zhao - Journal of Nuclear Materials, 2022 - Elsevier
The concept of high entropy materials (HEMs) provides a fertile ground for developing novel
irradiation-resistant structural materials. In HEMs, the vast and complicated configurational …

[HTML][HTML] Extending the accuracy of the SNAP interatomic potential form

MA Wood, AP Thompson - The Journal of chemical physics, 2018 - pubs.aip.org
The Spectral Neighbor Analysis Potential (SNAP) is a classical interatomic potential that
expresses the energy of each atom as a linear function of selected bispectrum components …

Machine-Learning-Driven Simulations on Microstructure and Thermophysical Properties of MgCl2–KCl Eutectic

W Liang, G Lu, J Yu - ACS Applied Materials & Interfaces, 2021 - ACS Publications
Theoretical studies on the MgCl2–KCl eutectic heavily rely on ab initio calculations based
on density functional theory (DFT). However, neither large-scale nor long-time calculations …

Temperature dependent thermal and elastic properties of high entropy (Ti0. 2Zr0. 2Hf0. 2Nb0. 2Ta0. 2) B2: molecular dynamics simulation by deep learning potential

FZ Dai, Y Sun, B Wen, H Xiang, Y Zhou - Journal of Materials Science & …, 2021 - Elsevier
High entropy diborides are new categories of ultra-high temperature ceramics, which are
believed promising candidates for applications in hypersonic vehicles. However, knowledge …

Billion atom molecular dynamics simulations of carbon at extreme conditions and experimental time and length scales

K Nguyen-Cong, JT Willman, SG Moore… - Proceedings of the …, 2021 - dl.acm.org
Billion atom molecular dynamics (MD) using quantum-accurate machine-learning Spectral
Neighbor Analysis Potential (SNAP) observed long-sought high pressure BC8 phase of …

Theoretical prediction on the local structure and transport properties of molten alkali chlorides by deep potentials

W Liang, G Lu, J Yu - Journal of Materials Science & Technology, 2021 - Elsevier
In this work, the local structure and transport properties of three typical alkali chlorides (LiCl,
NaCl, and KCl) were investigated by our newly trained deep potentials (DPs). We extracted …

Development of NaCl–MgCl2–CaCl2 Ternary Salt for High-Temperature Thermal Energy Storage Using Machine Learning

W Dong, H Tian, W Zhang, JJ Zhou… - ACS Applied Materials & …, 2023 - ACS Publications
NaCl–MgCl2–CaCl2 eutectic ternary chloride salts are potential heat transfer and storage
materials for high-temperature thermal energy storage. In this study, first-principles …

Atomistic modeling of nanoscale plasticity in high-entropy alloys

ZH Aitken, V Sorkin, YW Zhang - Journal of Materials Research, 2019 - cambridge.org
Lattice structures, defect structures, and deformation mechanisms of high-entropy alloys
(HEAs) have been studied using atomistic simulations to explain their remarkable …