Author

H. Akolekar

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#machine learning Preprint Sep 2026

Development and Validation of a Physics-Guided Machine Learning Extrapolation Framework Using a Classical Transient Diffusion Benchmark

A novel extrapolation framework is integrated with established machine learning architectures to enable accurate and physically consistent predictions beyond the training domain, highlighting the framework's potential for engineering applications where data availability is limited.

Ashutosh Yadav, Alok Dubey, Prodyut R. Chakraborty et al. · 0 citations

Preprint Aug 2026

DD-RNO: A Domain-Decomposed Routed Neural Operator for Airfoil Flow Prediction

Deep learning surrogates for RANS flow prediction around airfoils face two persistent bottlenecks: sharp near-wall boundary layers and smooth far-field potential flow, and numerical instability of computing wall-normal velocity gradients from continuous-field approximations.

T. Mehta, P. Bhati, H. Akolekar · 0 citations