most citedExploring Efficient Quantification of Modeling Uncertainties with Differentiable Physics-Informed Machine Learning Architectures

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cs.LG2025★ 1 cited

Exploring Efficient Quantification of Modeling Uncertainties with Differentiable Physics-Informed Machine Learning Architectures

Manaswin Oddiraju, Bharath Varma Penumatsa, Divyang Amin +2

Quantifying and propagating modeling uncertainties is crucial for reliability analysis, robust optimization, and other model-based algorithmic processes in engineering design and c…

cs.CE2023

Physics-Infused Machine Learning Based Prediction of VTOL Aerodynamics with Sparse Datasets

Manaswin Oddiraju, Divyang Amin, Michael Piedmonte +1

Complex optimal design and control processes often require repeated evaluations of expensive objective functions and consist of large design spaces. Data-driven surrogates such as…