From the 1 of 7 linked papers with an AI index.
7 papers
An Approximate Graph Elicits Detonation Lattice
Vansh Sharma, Venkat Raman
The paper introduces a training‑free, graph‑theoretic algorithm that automatically segments and measures detonation cells from 3D pressure trace data, improving over manual and 2D…
A mapping-based projection of detailed kinetics uncertainty onto reduced manifolds
Vansh Sharma, Shuzhi Zhang, Rahul Jain +1
Propagating uncertainties introduced by chemical reaction rate parameters to high-fidelity numerical simulations of complex combustion devices is necessary to ascertain impact on c…
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…
Automated Design Optimization via Strategic Search with Large Language Models
Anthony Carreon, Vansh Sharma, Venkat Raman
Optimization methods have long advanced many fields, yet they struggle when faced with design problems where the search space and design parameters are difficult to define. Large l…
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…