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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
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
Presenter
- Yvon Maday
November 15, 2016
IPAM
Hierarchical Tensor Approximation, DMRG and Combination with a Multi-Reference Coupled Cluster Method
Presenter
- Reinhold Schneider
November 15, 2016
IPAM
Towards controllable van der Waals interactions: the importance of collective charge dynamics at the nanoscale
Presenter
- Alberto Ambrosetti
November 14, 2016
IPAM
An electronically coarse grained model including all quantum mechanical fluctuations necessary for long-range forces describes water’s properties from ice to the supercritical regime
Presenter
- Glenn Martyna
November 14, 2016
IPAM
Collective Variables in Quantum Mechanics and Machine Learning
Presenter
- Alexandre Tkatchenko
November 14, 2016
IPAM
Learning quantum potential energy surfaces: multiple descriptors, many body expansions, baselines
Presenter
- Gabor Csanyi
November 14, 2016
IPAM
Quantum Chemistry Energy Regression and Statistical Physics with Scattering Transforms
Presenter
- Stéphane Mallat
November 14, 2016
IPAM
Applications of accelerated molecular dynamics in materials science: Insights into kinetic processes in complex materials
Presenter
- Blas Uberuaga
October 28, 2016
IPAM
Thermodynamically Motivated Approaches to Collective Variables
Presenter
- Steven J. Stuart
October 28, 2016
IPAM