43 citations · 65 across the 7 of their papers we have counts for
4 papers · 1 filter
Chain of Unit-Physics: A Primitive-Centric Approach to Scientific Code Synthesis
Vansh Sharma, Venkat Raman
Agentic large language models are proposed as autonomous code generators for scientific computing, yet their reliability in high-stakes problems remains unclear. Developing computa…
AutoHood3D: A Multi-Modal Benchmark for Automotive Hood Design and Fluid-Structure Interaction
Vansh Sharma, Harish Jai Ganesh, Maryam Akram +2
This study presents a new high-fidelity multi-modal dataset containing 16000+ geometric variants of automotive hoods useful for machine learning (ML) applications such as engineeri…
Steering Conceptual Bias via Transformer Latent-Subspace Activation
Vansh Sharma, Venkat Raman
This work examines whether activating latent subspaces in language models (LLMs) can steer scientific code generation toward a specific programming language. Five causal LLMs were…
Timescales and Statistics of Shock-induced Droplet Breakup
Michael Ullman, Ral Bielawski, Venkat Raman
Detonation-based propulsion devices, such as rotating detonation engines (RDEs), must be able to leverage the higher energy densities of liquid fuels in order for them to be utiliz…