Birs- 24w5171: Towards Routine Orbital-free Large-Scale Quantum-Mechanical Modelling of Materials

  1. Title:
    Kinetic Energy Density-Based Machine Learning Models of Kinetic Energy Using Gradient Expansion Based Features

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  2. Title:
    Harnessing Chemical Understanding with Wave Function Theory, Density Functional Theory, Machine Learning, and Quantum Computers

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  3. Title:
    Machine Learning Assisted Kinetic Energy Density Functionals Implemented in ABACUS

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  4. Title:
    Electron Localization-Delocalization Matrices (LDMs): A Powerful Predictive Molecular Descriptor

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  5. Title:
    The critical frequency in Quantum Hydrodynamic Theory

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  6. Title:
    FFLUX: a Force Field Based on an Electron-Density Based Energy-Decomposition

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  7. Title:
    Orbital-Free Density-Potential Functional Theory for Electronic Structure

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  8. Title:
    Fast and Stable Framework for Nonlocal Kinetic Energy Density Functional Reconstruction in OF-DFT Calculations

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  9. Title:
    Advanced Computational Modelling for Energy Applications

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  10. Title:
    Nonlocal Free-Energy Density Functional Enables a Broad Range of Warm Dense Matter Simulations via ATLAS

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  11. Title:
    Alchemical Derivatives for Orbital-Free Energies

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