collaborators

6 papers

physics.comp-ph2026

Matrix-Free Resolvent Analysis for Large-Scale Aerodynamic Systems

Rohit Sunil Kanchi, Sicheng He

Predicting transonic buffet requires resolving both flow stability and disturbance amplification. Resolvent analysis gives the amplification. However, each gain needs the solution…

physics.comp-ph2026

How Does Distribution Shift Shape Pretraining Gains in Neural PDE Surrogates?

Pochinapeddi Sai Bhargav, Nithin Somasekharan, Rohit Sunil Kanchi +2

Pretraining a neural PDE surrogate can reduce the amount of new CFD data needed when geometry or modeled physics changes. However, it remains unclear how different components of di…

physics.flu-dyn2026

Buffet Alleviation via Linear Stability Adjoint

Rohit Sunil Kanchi, Sicheng He, Eirikur Jonsson +1

Transonic buffet, self--sustained shock and shear--layer oscillations, imposes hard limits on the cruise envelope of modern transport aircraft, and avoiding it is a primary design…

math.NA2026

Modal-Centric Field Inversion via Differentiable Proper Orthogonal Decomposition

Rohit Sunil Kanchi, Sicheng He

Inverse problems in computational physics often require matching high-dimensional spatio-temporal fields, leading to prohibitive computational costs and ill-conditioned optimizatio…

physics.flu-dyn2025

UniFoil: A Universal Dataset of Airfoils in Transitional and Turbulent Regimes for Subsonic and Transonic Flows

Rohit Sunil Kanchi, Benjamin Melanson, Nithin Somasekharan +2

We present UniFoil, a large publicly available universal airfoil dataset based on Reynolds-averaged Navier-Stokes (RANS) simulations. It contains over 500,000 samples spanning a wi…

math.NA2025

Differentiable Singular Value Decomposition

Rohit Kanchi, Sicheng He

Singular value decomposition is widely used in modal analysis, such as proper orthogonal decomposition and resolvent analysis, to extract key features from complex problems. SVD de…