3 papers
cs.CE2026
SHIFT-Truck: A High-Fidelity Aerodynamics Dataset and Benchmark for Pickup Trucks
Riddhiman Raut, Yin Yu, Aashwin Anand Mishra +4
Pickup trucks account for 14% of new light-duty vehicles produced in the United States, yet are among the least aerodynamic. Their open cargo bed adds a flow absent from existing a…
cs.LG2026
D-JEPA: Design-Recoverable JEPA Representation with Swappable Physics Decoders
Nitin Nagesh Kulkarni, Aashwin Anand Mishra, Yin Yu +1
Joint-Embedding Predictive Architectures (JEPAs) provide a framework for learning compact representations without directly reconstructing high-dimensional observations. However, in…
cs.LG2026
A Data Fusion Framework for Grounding Aerospace Surrogate Model via Experimental Wind-Tunnel Observations
Nitin Nagesh Kulkarni, Dheeraj Vemula, Yin Yu +2
Aerodynamic surrogate models trained on high-fidelity CFD data reproduce numerical predictions of both scalar outputs and entire fields accurately, yet their predictive fidelity is…