2 papers
cs.LG2025
Supervised Pretraining for Material Property Prediction
Chowdhury Mohammad Abid Rahman, Aldo H. Romero, Prashnna K. Gyawali
Accurate prediction of material properties facilitates the discovery of novel materials with tailored functionalities. Deep learning models have recently shown superior accuracy an…
cs.LG2024
Enhancing material property prediction with ensemble deep graph convolutional networks
Chowdhury Mohammad Abid Rahman, Ghadendra Bhandari, Nasser M Nasrabadi +2
Machine learning (ML) models have emerged as powerful tools for accelerating materials discovery and design by enabling accurate predictions of properties from compositional and st…