← Search

Yaël Frégier

2 accepted papers

2023

Optimized Crystallographic Graph Generation for Material Science

IJCAI 2023poster

Graph neural networks are widely used in machine learning applied to chemistry, and in particular for material science discovery. For crystalline materials, however, generating graph-based representation from geometrical information for neural networks is not a trivial task. The periodicity of cryst…

2023

Unified Model for Crystalline Material Generation

IJCAI 2023poster

One of the greatest challenges facing our society is the discovery of new innovative crystal materials with specific properties. Recently, the problem of generating crystal materials has received increasing attention, however, it remains unclear to what extent, or in what way, we can develop generat…