466 citations · 1.7k across the 54 of their papers we have counts for
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Autonomous Inversion of In Situ Deformation Measurement Data for CO2 Storage Decision Support
Jeff Burghardt, Ting Bao, Kailai Xu +2
Current methods of estimating the change in stress caused by injecting fluid into subsurface formations require choosing the type of constitutive model and the model parameters bas…
Physics-Informed Machine Learning Method for Large-Scale Data Assimilation Problems
Yu-Hong Yeung, David A. Barajas-Solano, Alexandre M. Tartakovsky
We develop a physics-informed machine learning approach for large-scale data assimilation and parameter estimation and apply it for estimating transmissivity and hydraulic head in…
Physics-informed CoKriging model of a redox flow battery
Amanda A. Howard, Alexandre M. Tartakovsky
Redox flow batteries (RFBs) offer the capability to store large amounts of energy cheaply and efficiently, however, there is a need for fast and accurate models of the charge-disch…
Physics-constrained deep neural network method for estimating parameters in a redox flow battery
QiZhi He, Panos Stinis, Alexandre Tartakovsky
In this paper, we present a physics-constrained deep neural network (PCDNN) method for parameter estimation in the zero-dimensional (0D) model of the vanadium redox flow battery (V…
Time-dependent stochastic basis adaptation for uncertainty quantification
Ramakrishna Tipireddy, Panos Stinis, Alexandre M. Tartakovsky
We extend stochastic basis adaptation and spatial domain decomposition methods to solve time varying stochastic partial differential equations (SPDEs) with a large number of input…