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RESEARCH PAPER · The Journal of Chemical Physics · 2022

Chemical design by artificial intelligence

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Chemical design by artificial intelligenceOriginalPost-Activation Function for Managing the Behavior of a Neural Network Potential with a Low-Dimensional Potential1Parametrically Managed Activation Function for Fitting a Neural Network Potential with Physical Behavior Enforced by a Low-Dimensional Potential18Nanomachines in living matters: the soft-robot cytochrome P4509Research on assist design strategy of electric garden tools driven by data and intelligence4Dual-Level Parametrically Managed Neural Network Method for Learning a Potential Energy Surface for Efficient Dynamics1

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  1. Post-Activation Function for Managing the Behavior of a Neural Network Potential with a Low-Dimensional Potential

    ChemRxiv · 2023-04-21

    Farideh Badichi Akher, Yinan Shu, Zoltan Varga, Suman Bhaumik, Donald G. Truhlar

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  2. Parametrically Managed Activation Function for Fitting a Neural Network Potential with Physical Behavior Enforced by a Low-Dimensional Potential

    The Journal of Physical Chemistry A · 2023-06-12

    Farideh Badichi Akher, Yinan Shu, Zoltán Varga, Suman Bhaumik, Donald G. Truhlar

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  3. Nanomachines in living matters: the soft-robot cytochrome P450

    Trends in Chemistry · 2023-08-03

    Sason S. Shaik, Kshatresh Dutta Dubey

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  4. Research on assist design strategy of electric garden tools driven by data and intelligence

    Advanced Design Research · 2024-06-01

    Xing Li, Junhui Lin, Qing Li, Wen Cao

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  5. Dual-Level Parametrically Managed Neural Network Method for Learning a Potential Energy Surface for Efficient Dynamics

    Journal of Chemical Theory and Computation · 2025-02-27

    Suman Bhaumik, Dayou Zhang, Yinan Shu, Donald G. Truhlar

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