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Published in 2024 at "npj Computational Materials"
DOI: 10.1038/s41524-025-01764-6
Abstract: Solid electrolytes with fast ion transport are crucial for solid state lithium metal batteries. Chemical doping has been the most effective strategy for improving ion condictiviy, and atomistic simulation with machine-learning potentials helps optimize doping…
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Keywords:
solid electrolytes;
deep potential;
pre trained;
trained deep ... See more keywords
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Published in 2023 at "Physical Review B"
DOI: 10.1103/physrevb.107.144102
Abstract: The multicomponent oxide solid solution is a versatile platform to tune the delicate balance between competing spin, charge, orbital, and lattice degrees of freedom for materials design and discovery. The development of compositionally complex oxides…
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Keywords:
development;
deep potential;
potential;
potential complex ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2930311
Abstract: Point-of-Interest (POI) recommendation has been an important research topic in data mining and the popularity of location-based social networks (LBSNs) has significantly contributed to POI recommendation. The existing POI recommendation models mostly adopt various explicit…
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Keywords:
deep potential;
point interest;
mining;
potential geo ... See more keywords
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Published in 2024 at "International Journal of Molecular Sciences"
DOI: 10.3390/ijms25031448
Abstract: Machine learning potentials, particularly the deep potential (DP) model, have revolutionized molecular dynamics (MD) simulations, striking a balance between accuracy and computational efficiency. To facilitate the DP model’s integration with the popular MD engine OpenMM,…
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Keywords:
deep potential;
energy;
validation openmm;
implementation validation ... See more keywords