most citedInverse Aerodynamic Design of Gas Turbine Blades using Probabilistic Machine Learning

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physics.comp-ph2021

A Bayesian Multiscale Deep Learning Framework for Flows in Random Media

Govinda Anantha Padmanabha, Nicholas Zabaras

Fine-scale simulation of complex systems governed by multiscale partial differential equations (PDEs) is computationally expensive and various multiscale methods have been develope…

physics.comp-ph2020

Solving inverse problems using conditional invertible neural networks

Govinda Anantha Padmanabha, Nicholas Zabaras

Inverse modeling for computing a high-dimensional spatially-varying property field from indirect sparse and noisy observations is a challenging problem. This is due to the complex…