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02/23/2023
Learning stiff chemical kinetics using extended deep neural operators
We utilize neural operators to learn the solution propagator for the cha...
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07/14/2022
Adaptive sparse interpolation for accelerating nonlinear stochastic reduced-order modeling with time-dependent bases
Stochastic reduced-order modeling based on time-dependent bases (TDBs) h...
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01/10/2022
Scalable In Situ Compression of Transient Simulation Data Using Time-Dependent Bases
Large-scale simulations of time-dependent problems generate a massive am...
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12/28/2021
Reduced order modeling with time-dependent bases for PDEs with stochastic boundary conditions
Low-rank approximation using time-dependent bases (TDBs) has proven effe...
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08/25/2021
Physics-informed neural networks for improving cerebral hemodynamics predictions
Determining brain hemodynamics plays a critical role in the diagnosis an...
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01/11/2021
On-the-fly Reduced Order Modeling of Passive and Reactive Species via Time-Dependent Manifolds
One of the principal barriers in developing accurate and tractable predi...
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11/17/2018
