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Heather Kulik - Exploring multi-million compound spaces w/ chemical accuracy using machine learning
Presenter
- Heather Kulik
March 27, 2023
IPAM
Laura Waller - 3D phase imaging with scattering samples - IPAM at UCLA
Presenter
- Laura Waller
October 12, 2022
IPAM
Di Fang - Time-marching strategy can work quantumly for differential equations - IPAM at UCLA
Presenter
- Di Fang
October 5, 2023
IPAM
Danny Perez - Scalable approaches to long-time atomistic dynamics: a journey to the exascale
Presenter
- Danny Perez
March 28, 2023
IPAM
Ian Robinson - Progress towards Machine Learning Phasing for Bragg Coherent Diffractive Imaging
Presenter
- Ian Robinson
October 13, 2022
IPAM
Sebastian Seung - Petascale connectomics and beyond - IPAM at UCLA
Presenter
- Sebastian Seung
October 10, 2022
IPAM
Alexander Bobenko - Dimers and M-curves: Limit shapes from Riemann surfaces - IPAM at UCLA
Presenter
- Alexander Bobenko
March 28, 2024
IPAM
Daniel Schwen - MOOSE: Parallel sampling for rare event probabilities & inverse Bayesian inference
Presenter
- Daniel Schwen
March 30, 2023
IPAM
Vikram Gavini - Fast, Accurate and Large-scale Ab-initio Calculations for Materials Modeling
Presenter
- Vikram Gavini
March 29, 2023
IPAM
Jaafar El-Awady - dislocation in high thermomechanical condition in Additive Manufacturing of Alloys
Presenter
- Jaafar El-Awady
March 28, 2023
IPAM
Aidan Thompson - LAMMPS simulation: physics models, machine-learning potentials, exascale computing
Presenter
- Aidan Thompson
March 27, 2023
IPAM