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Karsten W. Jacobsen: Machine Learning and DFT

Karsten W. Jacobsen: Machine Learning and DFT

ML4MS 2019: Karsten Wedel Jacobsen

ML4MS 2019: Karsten Wedel Jacobsen

Kieron Burke: "Density functionals from machine learning"

Kieron Burke: "Density functionals from machine learning"

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]

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

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

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

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

Basis set for f block elements #computationalchemistry #machinelearning #vasp #dft

Basis set for f block elements #computationalchemistry #machinelearning #vasp #dft

Visual Intro to Machine Learning and Deep Learning

Visual Intro to Machine Learning and Deep Learning

DFT measurement machine

DFT measurement machine

3.3: workflow and data management with ASE (J. J. Mortensen)

3.3: workflow and data management with ASE (J. J. Mortensen)

Heather Kulik - Exploring multi-million compound spaces w/ chemical accuracy using machine learning

Heather Kulik - Exploring multi-million compound spaces w/ chemical accuracy using machine learning