3 citations · 3 across the 5 of their papers we have counts for
6 papers
Leading-edge energy transfer governs flutter onset of a pitching finite wing in low-Reynolds number flows
Apoorva R. Parvathgari, Tulsi Ram Sahu, Aditya G. Nair
Flutter onset is determined by the sign of the aerodynamic work on the structure, but cycle-integrated work does not reveal where this energy transfer originates. We perform direct…
Spectrally Regularized Latent Flow Matching for Turbulence Generation
Khalid Rafiq, Aditya G. Nair
Latent diffusion and flow matching have emerged as leading approaches for synthetic turbulence generation, yet they systematically under-represent dissipation-range amplitudes. We…
Phase-based analysis and control of low Reynolds number aeroelastic flows
Chathura R. Sumanasiri, Tulsi Ram Sahu, Aditya G. Nair
Flutter in lightweight airfoils under unsteady flows presents a critical challenge in aeroelastic stability and control. This study uncovers phase-localized mechanisms that drive t…
Latent Evolution Operator (LEO): State-to-State Forecasting of Parametric PDEs
Khalid Rafiq, Wenjing Liao, Aditya G. Nair
Solving time-dependent parametric partial differential equations (PDEs) with high-fidelity solvers is expensive in multi-query settings. This motivates reduced-order models in late…
Dominant balance-based adaptive mesh refinement for incompressible fluid flows
Gaurav Kumar, Aditya G. Nair
This work introduces a novel adaptive mesh refinement (AMR) method that utilizes dominant balance analysis (DBA) for efficient and accurate grid adaptation in computational fluid d…
Cluster regression model for control of nonlinear dynamics
Nitish Arya, Aditya G. Nair
In the realm of big data, discerning patterns in nonlinear systems affected by external control inputs is increasingly challenging. Our approach blends the coarse-graining strength…