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Raghu Meka - Complexity of Sparse Linear Regression - IPAM at UCLA
Presenter
- Raghu Meka
March 1, 2024
IPAM
Vasily Bulatov - What are we going to do with data generated in exascale simulations? - IPAM at UCLA
Presenter
- Vasily Bulatov
March 31, 2023
IPAM
Ivan Oleynik - Materials at Extremes: Discovery Science with Exascale Computers and Experiment
Presenter
- Ivan Oleynik
March 31, 2023
IPAM
Laura Grigori - Randomization techniques for solving large scale linear algebra problems
Presenter
- Laura Grigori
March 30, 2023
IPAM
Eric Cances - Error estimators for Density-Functional Theory - IPAM at UCLA
Presenter
- Eric Cances
March 30, 2023
IPAM
Steve Fitzgerald - Path integral formulation of stochastic processes... - IPAM at UCLA
Presenter
- Steve Fitzgerald
March 30, 2023
IPAM
Daniel Schwen - MOOSE: Parallel sampling for rare event probabilities & inverse Bayesian inference
Presenter
- Daniel Schwen
March 30, 2023
IPAM
David Bowler - Large-scale and linear scaling DFT: why we need it, and how we do it - IPAM at UCLA
Presenter
- David Bowler
March 29, 2023
IPAM
Vikram Gavini - Fast, Accurate and Large-scale Ab-initio Calculations for Materials Modeling
Presenter
- Vikram Gavini
March 29, 2023
IPAM
Volker Blum - Large-scale electronic structure theory in FHI-aims and ELSI - IPAM at UCLA
Presenter
- Volker Blum
March 29, 2023
IPAM
Paul Kent - Extending the reach and accuracy of Quantum Monte Carlo in materials - IPAM at UCLA
Presenter
- Paul Kent
March 29, 2023
IPAM
Danny Perez - Scalable approaches to long-time atomistic dynamics: a journey to the exascale
Presenter
- Danny Perez
March 28, 2023
IPAM