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2017-08-07 Machine Learning for Quantum Mechanics [Hands-on Workshop on DFT and Beyond]

2017-08-07 Machine Learning for Quantum Mechanics [Hands-on Workshop on DFT and Beyond]

Karsten W. Jacobsen: Machine Learning and DFT

Karsten W. Jacobsen: Machine Learning and DFT

Kieron Burke: "Density functionals from machine learning"

Kieron Burke: "Density functionals from machine learning"

Kieron Burke: "Machine Learning assisted DFT for strongly correlated systems"

Kieron Burke: "Machine Learning assisted DFT for strongly correlated systems"

Marivi Fernandez Serra - Machine learning to improve the exchange and correlation functional in DFT

Marivi Fernandez Serra - Machine learning to improve the exchange and correlation functional in DFT

Carla Verdi: Thermodynamic Properties of Zirconia from Machine Learning within and beyond DFT

Carla Verdi: Thermodynamic Properties of Zirconia from Machine Learning within and beyond DFT

14 MDL - Kieron Burke: Machine-learning of density functionals for appl. in molecules and materials

14 MDL - Kieron Burke: Machine-learning of density functionals for appl. in molecules and materials

2020 MP Workshop – Automated DFT

2020 MP Workshop – Automated DFT

Machine learning as a solution to the electronic structure problem

Machine learning as a solution to the electronic structure problem

Vikram Gavini - Fast, Accurate and Large-scale Ab-initio Calculations for Materials Modeling

Vikram Gavini - Fast, Accurate and Large-scale Ab-initio Calculations for Materials Modeling

Carlos Benavides | Machine learning for reduced density matrix functional theory

Carlos Benavides | Machine learning for reduced density matrix functional theory

L16, Gábor Csányi, Machine learning for materials modelling

L16, Gábor Csányi, Machine learning for materials modelling