Videos

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Biomolecular solvation: from molecular to continuum models Thumbnail

Biomolecular solvation: from molecular to continuum models

Presenter
  • Nathan Baker
December 9, 2008
IMA
Assessing the Performance of Poisson-Boltzmann Continuum Solvation Models Thumbnail

Assessing the Performance of Poisson-Boltzmann Continuum Solvation Models

Presenter
  • Nathan Baker
January 14, 2008
IMA
Assessing the Ability of Continuum Solvation Models to Accurately Model Nucleic Acid Electrostatics Thumbnail

Assessing the Ability of Continuum Solvation Models to Accurately Model Nucleic Acid Electrostatics

Presenter
  • Nathan Baker
September 19, 2007
IMA
The uniform uncertainty principle Thumbnail

The uniform uncertainty principle

Presenter
  • Emmanuel Candès
June 7, 2007
IMA
Monte Carlo without Chains with Applications Thumbnail

Monte Carlo without Chains with Applications

Presenter
  • Alexandre Chorin
May 25, 2007
SLMath
Algorithms for Solving Random and Semirandom Planted Constraint Satisfaction Problems Thumbnail

Algorithms for Solving Random and Semirandom Planted Constraint Satisfaction Problems

Presenter
  • Peter Manohar
October 7, 2025
IAS
Conditional neural Whitney forms for structure preserving data-driven modeling Thumbnail

Conditional neural Whitney forms for structure preserving data-driven modeling

Presenter
  • Nat Trask
September 5, 2025
IMSI
Tyler Maunu - Subspace Langevin Monte Carlo - IPAM at UCLA Thumbnail

Tyler Maunu - Subspace Langevin Monte Carlo - IPAM at UCLA

Presenter
  • Tyler Maunu
May 21, 2025
IPAM

Efficient Krylov subspace methods for large-scale hierarchical Bayesian inverse problems

Presenter
  • Julianne Chung
May 6, 2025
ICERM
Learning reaction coordinates and finding optimal model parameters from sampled trajectory ensembles Thumbnail

Learning reaction coordinates and finding optimal model parameters from sampled trajectory ensembles

Presenter
  • Peter Bolhuis
April 24, 2024
IMSI
Learning the committor, free energy profile, and rates with ML-driven path sampling simulations Thumbnail

Learning the committor, free energy profile, and rates with ML-driven path sampling simulations

Presenter
  • Roberto Covino
April 22, 2024
IMSI
Physics-Inspired Machine Learning Methods: A Status Report on Predictive Chemistry Thumbnail

Physics-Inspired Machine Learning Methods: A Status Report on Predictive Chemistry

Presenter
  • Teresa Head-Gordon
April 8, 2024
IMSI