 Towards scientific machine learning for granular material simulations -- challenges and opportunitiesArchives of Computational Methods in Engineering (ACME), 2025 |
 Substitutional Alloying Using Crystal Graph Neural NetworksAIP Advances (AIP Adv.), 2023 |
 Artificial Intelligence in Material Engineering: A review on
applications of AI in Material EngineeringAdvanced Engineering Materials (AEM), 2022 |
 Materials Representation and Transfer Learning for Multi-Property
PredictionApplied Physics Reviews (APR), 2021 |
 A Tailored Convolutional Neural Network for Nonlinear Manifold Learning
of Computational Physics Data using Unstructured Spatial DiscretizationsSIAM Journal on Scientific Computing (SIAM J. Sci. Comput.), 2020 |
 Big-Data Science in Porous Materials: Materials Genomics and Machine
LearningChemical Reviews (Chem. Rev.), 2020 |
