2 papers
cs.LG2024
Accelerating Material Property Prediction using Generically Complete Isometry Invariants
Jonathan Balasingham, Viktor Zamaraev, Vitaliy Kurlin
Periodic material or crystal property prediction using machine learning has grown popular in recent years as it provides a computationally efficient replacement for classical simul…
physics.comp-ph2024
Material Property Prediction using Graphs based on Generically Complete Isometry Invariants
Jonathan Balasingham, Viktor Zamaraev, Vitaliy Kurlin
The structure-property hypothesis says that the properties of all materials are determined by an underlying crystal structure. The main obstacle was the ambiguity of conventional c…