2 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Investigation of Numerical Diffusion in Aerodynamic Flow Simulations with Physics Informed Neural Networks
Alok Warey, Taeyoung Han, Shailendra Kaushik
Computational Fluid Dynamics (CFD) simulations are used for many air flow simulations including road vehicle aerodynamics. Numerical diffusion occurs when local flow direction is n…