activity
20202026
most citedA Neural Network Inspired Formulation of Chemical Kinetics

43 citations · 65 across the 7 of their papers we have counts for

collaborators

9 papers

physics.comp-ph2026

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…

cs.CV2026

An Approximate Graph Elicits Detonation Lattice

Vansh Sharma, Venkat Raman

This study presents a novel algorithm based on graph theory for the precise segmentation and measurement of detonation cells from 3D pressure traces, termed detonation lattices, ad…

cs.MA2025

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…

cs.LG2025

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…

cs.AI2025

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…

physics.flu-dyn2025★ 7 cited

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…

physics.flu-dyn2024★ 15 cited

An AMReX-based Compressible Reacting Flow Solver for High-speed Reacting Flows relevant to Hypersonic Propulsion

Shivank Sharma, Ral Bielawski, Oliver Gibson +8

This work presents a comprehensive framework for the efficient implementation of finite-volume-based reacting flow solvers, specifically tailored for high speed propulsion applicat…

physics.flu-dyn2024

Chemical Timescale Effects on Detonation Convergence

Shivam Barwey, Michael Ullman, Ral Bielawski +1

Numerical simulations of detonation-containing flows have emerged as crucial tools for designing next-generation power and propulsion devices. As these tools mature, it is importan…

physics.chem-ph2020★ 43 cited

A Neural Network Inspired Formulation of Chemical Kinetics

Shivam Barwey, Venkat Raman

A method which casts the chemical source term computation into an artificial neural network (ANN)-inspired form is presented. This approach is well-suited for use on emerging super…