Videos

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Explaining and Understanding Non-linear Classifier Decisions with Application to Deep Learning Thumbnail

Explaining and Understanding Non-linear Classifier Decisions with Application to Deep Learning

Presenter
  • Klaus-Robert Müller
November 18, 2016
IPAM
Ensemble-Average Representation of Pt clusters in Conditions of Catalysis, accessed through GPU Accelerated Deep Neural Network Fitting Global Optimization Thumbnail

Ensemble-Average Representation of Pt clusters in Conditions of Catalysis, accessed through GPU Accelerated Deep Neural Network Fitting Global Optimization

Presenter
  • Anastassia Alexandrova
November 18, 2016
IPAM
The density-to-pair-density map in density functional theory Thumbnail

The density-to-pair-density map in density functional theory

Presenter
  • Gero Friesecke
November 18, 2016
IPAM
Virtual Screening for High Carrier Mobility in Organic Semiconductors Thumbnail

Virtual Screening for High Carrier Mobility in Organic Semiconductors

Presenter
  • Harald Oberhofer
November 17, 2016
IPAM
Density functional perturbation theory for large systems Thumbnail

Density functional perturbation theory for large systems

Presenter
  • Lin Lin
November 16, 2016
IPAM
Reducing complexity by implicit solvation models. Thumbnail

Reducing complexity by implicit solvation models.

Presenter
  • Benjamin Stamm
November 16, 2016
IPAM
Grain Boundary Physics, Machine Learning, and the "SOAP" Formalism Thumbnail

Grain Boundary Physics, Machine Learning, and the "SOAP" Formalism

Presenter
  • Gus Hart
November 16, 2016
IPAM
Toward accurate, efficient, and reliable interatomic potentials Thumbnail

Toward accurate, efficient, and reliable interatomic potentials

Presenter
  • Alexander Shapeev
November 16, 2016
IPAM
DFT and ML: The role of collective variables Thumbnail

DFT and ML: The role of collective variables

Presenter
  • Kieron Burke
November 15, 2016
IPAM
Predicting Properties and Electronic Structure of Inorganic Materials with Machine Learning Thumbnail

Predicting Properties and Electronic Structure of Inorganic Materials with Machine Learning

Presenter
  • Olexandr Isayev
November 15, 2016
IPAM
Extracting Chemical Information from Quantum Many-Particle Physics Thumbnail

Extracting Chemical Information from Quantum Many-Particle Physics

Presenter
  • Markus Reiher
November 15, 2016
IPAM
Combining model reduction methods and data assimilation tools for the approximation of the solution to parameter dependent PDE’s : Application to quantum mechanics Thumbnail

Combining model reduction methods and data assimilation tools for the approximation of the solution to parameter dependent PDE’s : Application to quantum mechanics

Presenter
  • Yvon Maday
November 15, 2016
IPAM