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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
Shiwei Zhang - Auxiliary-field methods for quantum materials - IPAM at UCLA
Presenter
- Shiwei Zhang
May 23, 2022
IPAM
Pooya Ronagh - Leveraging Periodicity as a Quantum PDE Solver - IPAM at UCLA
Presenter
- Pooya Ronagh
February 17, 2026
IPAM
Jiajia Yu - Learning and Inference in Mean-Field Games - IPAM at UCLA
Presenter
- Jiajia Yu
July 16, 2025
IPAM
Jelena Diakonikolas - Robust Learning of a Neuron: Bridging Computational Gaps Using Optimization
Presenter
- Jelena Diakonikolas
February 29, 2024
IPAM