Videos

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Electronic Structure Theory, lecture 13 Thumbnail

Electronic Structure Theory, lecture 13

Presenter
  • Lin Lin
July 26, 2016
SLMath
Electronic Structure Theory, lecture 10 Thumbnail

Electronic Structure Theory, lecture 10

Presenter
  • Lin Lin
July 22, 2016
SLMath
Electronic Structure Theory, lecture 9 Thumbnail

Electronic Structure Theory, lecture 9

Presenter
  • Lin Lin
July 22, 2016
SLMath
Electronic Structure Theory, lecture 6 Thumbnail

Electronic Structure Theory, lecture 6

Presenter
  • Lin Lin
July 20, 2016
SLMath
Electronic Structure Theory, lecture 5 Thumbnail

Electronic Structure Theory, lecture 5

Presenter
  • Lin Lin
July 20, 2016
SLMath
Electronic Structure Theory, lecture 2 Thumbnail

Electronic Structure Theory, lecture 2

Presenter
  • Lin Lin
July 18, 2016
SLMath
Electronic Structure Theory, lecture 1 Thumbnail

Electronic Structure Theory, lecture 1

Presenter
  • Lin Lin
July 18, 2016
SLMath
Towards Direct and Accurate ab initio Modeling of Material Defects at Large Scale Thumbnail

Towards Direct and Accurate ab initio Modeling of Material Defects at Large Scale

Presenter
  • Lin Lin
October 4, 2012
IPAM
A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions Thumbnail

A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions

Presenter
  • Nilin Abrahamsen
March 27, 2024
IMSI
Quyuan Lin - On the non-isothermal electrodiffusion and Nernst-Planck-Boussinesq system Thumbnail

Quyuan Lin - On the non-isothermal electrodiffusion and Nernst-Planck-Boussinesq system

Presenter
  • Quyuan Lin
September 16, 2025
IPAM
Guang Lin - Scalable algorithms for Bayesian deep learning via stochastic gradient Monte Carlo Thumbnail

Guang Lin - Scalable algorithms for Bayesian deep learning via stochastic gradient Monte Carlo

Presenter
  • Guang Lin
July 16, 2025
IPAM
Quantum Locally Testable Codes and Codes with Transversal Gates Thumbnail

Quantum Locally Testable Codes and Codes with Transversal Gates

Presenter
  • David Lin
November 11, 2024
IAS