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Using machine learning to improve RNA force fields
ICTP Condensed Matter and Statistical Physics
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Stefan Chmiela - Accurate global machine learning force fields for molecules with hundreds of atoms
Institute for Pure & Applied Mathematics (IPAM)
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Machine Learning Meets Molecular Dynamics: A Crash Course in MLIPs for Solids
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13 Fitting forcefields using Machine Learning and other techniques
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10 Tips for Improving the Accuracy of your Machine Learning Models
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Stefan Chmiela - Non-locality in machine learning force fields - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM)
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Yuanqing Wang - Parameterization of Extended Force Field using Graph Neural Nets
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Differentiable molecular simulation to improve protein force fields
Cambridge Materials
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Machine Learning Force Fields for Heterogeneous Catalysis, Lars Leon Schaaf, Univ. of Cambridge UK
AI4ChemMat HandsOn Series
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AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning]
Steve Brunton
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