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Weile Jia
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Weile Jia12 visible / 12 total nodes / 23 links

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Co-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipWorks onAuthorshipWorks onAuthorshipWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipWeile JiaAWeile JiaResearcherCompact SO(3) Equivariant Atomistic Foundation Models via Structural PruningWCompact SO(3) Equivaria...preprint / 2026Chen WangAChen WangResearcherSiyu HuASiyu HuResearcherGuangming TanAGuangming TanResearcherPushing the limit of molecular dynamics with ab initio accuracy to 100 million atoms with machine learningWPushing the limit of mo...preprint / 2020Machine LearningTMachine Learning49008 worksA Left-Looking Selected Inversion Algorithm and Task Parallelism on Shared Memory SystemsWA Left-Looking Selected...preprint / 2016DP Compress: a Model Compression Scheme for Generating Efficient Deep Potential ModelsWDP Compress: a Model Co...preprint / 2022Extreme-Scale Density Functional Theory High Performance Computing of DGDFT for Tens of Thousands of Atoms using Millions of Cores on Sunway TaihuLightWExtreme-Scale Density F...preprint / 2020Extending the limit of molecular dynamics with ab initio accuracy to 10 billion atomsWExtending the limit of ...preprint / 2022ELSI -- An Open Infrastructure for Electronic Structure SolversWELSI -- An Open Infrast...preprint / 2020
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Weile Jia

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PaperCompact SO(3) Equivariant Atomistic Foundation Models via Structural PruningAuthorship / preprint / 2026PersonChen WangCo-authorship / ResearcherPersonSiyu HuCo-authorship / ResearcherPersonGuangming TanCo-authorship / ResearcherPaperPushing the limit of molecular dynamics with ab initio accuracy to 100 million atoms with machine learningAuthorship / preprint / 2020TopicMachine LearningWorks on / 49008 worksPaperA Left-Looking Selected Inversion Algorithm and Task Parallelism on Shared Memory SystemsAuthorship / preprint / 2016PaperDP Compress: a Model Compression Scheme for Generating Efficient Deep Potential ModelsAuthorship / preprint / 2022

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