Популярное

Музыка Кино и Анимация Автомобили Животные Спорт Путешествия Игры Юмор

Интересные видео

2025 Сериалы Трейлеры Новости Как сделать Видеоуроки Diy своими руками

Топ запросов

смотреть а4 schoolboy runaway турецкий сериал смотреть мультфильмы эдисон
dTub
Скачать

A Unified Understanding of Equivariant Interatomic Potentials

Автор: ICTP Condensed Matter and Statistical Physics

Загружено: 2022-05-13

Просмотров: 780

Описание:

Speaker: Ilyes BATATIA (ENS Paris-Saclay, France)

Young Researchers' Workshop on Machine Learning for Materials | (smr 3701)

2022_05_11-14_40-smr3701.mp4

A Unified Understanding of Equivariant Interatomic Potentials

Поделиться в:

Доступные форматы для скачивания:

Скачать видео mp4

  • Информация по загрузке:

Скачать аудио mp3

Похожие видео

Atomic Cluster Expansion based Force Fields for Molecular Materials

Atomic Cluster Expansion based Force Fields for Molecular Materials

Local Equivariant Representations for Large-Scale Atomistic Dynamics | S. Batzner and A. Musaelian

Local Equivariant Representations for Large-Scale Atomistic Dynamics | S. Batzner and A. Musaelian

THE LUMEN PODCAST - Features Derrick Kantumoya Mpaka

THE LUMEN PODCAST - Features Derrick Kantumoya Mpaka

Unlocking Atomistic Simulation Potential: Tutorial on DeePMD-kit for Accurate Machine-Trained Models

Unlocking Atomistic Simulation Potential: Tutorial on DeePMD-kit for Accurate Machine-Trained Models

Robert FREY - 180 years of Market Drawdowns

Robert FREY - 180 years of Market Drawdowns

4 Hours Chopin for Studying, Concentration & Relaxation

4 Hours Chopin for Studying, Concentration & Relaxation

Daniel Schwalbe Koda: Machine learning for interatomic potentials

Daniel Schwalbe Koda: Machine learning for interatomic potentials

Equivariant Models | Open Catalyst Intro Series | Ep. 6

Equivariant Models | Open Catalyst Intro Series | Ep. 6

Thomas Philippon:

Thomas Philippon: "The Great Reversal: How America Gave Up on Free Markets"

Equivariant Neural Networks | Part 1/3 - Introduction

Equivariant Neural Networks | Part 1/3 - Introduction

MMM Hub Software Spotlight: Machine Learning (ML) force fields

MMM Hub Software Spotlight: Machine Learning (ML) force fields

Fields Medal: Hugo Duminil-Copin

Fields Medal: Hugo Duminil-Copin

The Physicist Who Puts Penrose’s Quantum Ideas To The Test | Ivette Fuentes

The Physicist Who Puts Penrose’s Quantum Ideas To The Test | Ivette Fuentes

Machine Learning Force Fields for Heterogeneous Catalysis, Lars Leon Schaaf, Univ. of Cambridge UK

Machine Learning Force Fields for Heterogeneous Catalysis, Lars Leon Schaaf, Univ. of Cambridge UK

MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields

MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields

Interatomic potentials from first principles

Interatomic potentials from first principles

Физически-информированные нейронные сети (PINN) [Машинное обучение с учетом физики]

Физически-информированные нейронные сети (PINN) [Машинное обучение с учетом физики]

16/11/2015 - Roger Penrose - Palatial Twistor Theory: a Quantum Approach to Classical Space-Time

16/11/2015 - Roger Penrose - Palatial Twistor Theory: a Quantum Approach to Classical Space-Time

Sting - Shape of My Heart || Sylwester z Dwójką 2025

Sting - Shape of My Heart || Sylwester z Dwójką 2025

“The Mathematics of Percolation” by Prof Hugo Duminil-Copin (Fields Medallist) | 12 Jan 2024

“The Mathematics of Percolation” by Prof Hugo Duminil-Copin (Fields Medallist) | 12 Jan 2024

© 2025 dtub. Все права защищены.



  • Контакты
  • О нас
  • Политика конфиденциальности



Контакты для правообладателей: [email protected]