3 papers
cs.CE2026
Adapting Automotive Aerodynamics Surrogates to New Vehicle Families via Transfer Learning
Seunghwan Keum, Alok Warey
Deploying Scientific Machine Learning surrogates in industrial CFD workflows requires adapting pretrained models to new vehicle families without large datasets; yet whether geometr…
physics.chem-ph2025
Validation of Quantum Computing for Transition Metal Oxide-based Automotive Catalysis
Yuntao Gu, Louis Hector, Paolo Giusto +4
Quantum computing presents a promising alternative to classical computational methods for modeling strongly correlated materials with partially filled d orbitals. In this study, we…
cs.LG2022
Classification of Computer Aided Engineering (CAE) Parts Using Graph Convolutional Networks
Alok Warey, Rajan Chakravarty
CAE engineers work with hundreds of parts spread across multiple body models. A Graph Convolutional Network (GCN) was used to develop a CAE parts classifier. As many as 866 distinc…