Все публикации

1:01:03

Insights into Solid Electrolytes from Long-time and Large-size Scale Simulations with MLIPs

0:45:16

MRS Fall 2023 Tutorial - ML and HT Discovery and Design of Next-Gen Materials for SSBs

1:04:59

NANOx81 Lecture 7 - Trees

1:03:57

NANO181/281 Lecture 5 - Extending Linear Methods

1:31:48

NANO181/281 Lecture 3 - Linear Methods

0:50:26

NANO181/281 Lecture 5 - Linear Classification

0:34:32

ACS Fall 2023 Keynote Talk - Machine Learning; Learning Humans

0:53:50

20230705 - NUS Seminar - Universal Machine Learning Models for Unconstrained Materials Design

0:35:52

243rd ECS Meeting - Machine Learning for Solid State Batteries: Progress vs Hype

0:37:10

NANO266 Lecture 11 - Modeling Transition States

0:47:44

NANO266 Lecture 10 - Surfaces and Interfaces

0:36:11

NANO266 Lecture 9 - Tools of the Modeling Trade

0:43:28

NANO266 Lecture 8 - Properties of Periodic Structures from Quantum Mechanics

0:45:43

NANO266 Lecture 7 - Quantum Mechanical Modeling of Periodic Structures

0:36:19

NANO266 Lecture 6 - Molecule properties from QM Modeling.pdf

0:41:05

NANO266 Lecture 5 - Exchange Correlation Functionals

0:22:42

NANO266 Lecture 3 - Beyond Hartree-Fock

0:38:09

NANO266 Lecture 4 - Introduction to DFT

0:58:38

NANO266 Lecture 2 - The Hartree Fock Approximation

0:25:23

NANO266 Lecture 1 - A Gentle Introduction into QM

0:50:22

MaterialsSquare Webinar - An 'AlphaFold' for Materials Science

0:32:46

NANO181/281 Lecture 8 - Neural networks

1:49:25

NANO181/281 - Lecture 7 - Generalized Additive Models and Trees

0:28:52

Exploring the Matterverse with Graph Deep Learning