Equivariant Graph Neural Network for Crystalline Materials

Astrid Klipfel; Zied Bouraoui; Yael Frégier; Adlane Sayede

Conference Papers Year :

Equivariant Graph Neural Network for Crystalline Materials

(1, 2) , (1) , (3) , (2)

1
2
3

Astrid Klipfel

Function : Author

Centre de Recherche en Informatique de Lens

UCCS Équipe Couches Minces & Nanomatériaux

Zied Bouraoui

Function : Author

Centre de Recherche en Informatique de Lens

Yael Frégier

Function : Author

Laboratoire de Mathématiques de Lens

Adlane Sayede

Function : Author

UCCS Équipe Couches Minces & Nanomatériaux

Domains

Artificial Intelligence [cs.AI] Material chemistry

Luc Maes : Connect in order to contact the contributor

https://hal-univ-artois.archives-ouvertes.fr/hal-04037800

Submitted on : Monday, March 20, 2023-3:38:13 PM

Last modification on : Friday, June 2, 2023-3:14:54 PM

Dates and versions

hal-04037800 , version 1 (20-03-2023)

Identifiers

HAL Id : hal-04037800 , version 1

Cite

Astrid Klipfel, Zied Bouraoui, Yael Frégier, Adlane Sayede. Equivariant Graph Neural Network for Crystalline Materials. 31^st International Joint Conference on Artificial Intelligence and the 25^th European Conference on Artificial Intelligence {(IJCAI} 2022, {ECAI} 2022), Jul 2022, Vienna, Austria. ⟨hal-04037800⟩

Equivariant Graph Neural Network for Crystalline Materials

Domains

Dates and versions

Identifiers

Cite

Export

Collections

Share