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03/27/2023
Adjoint-based Determination of Weaknesses in Structures
An adjoint-based procedure to determine weaknesses, or, more generally t...
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11/30/2022
Neural Network Representation of Time Integrators
Deep neural network (DNN) architectures are constructed that are the exa...
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03/15/2022
NINNs: Nudging Induced Neural Networks
New algorithms called nudging induced neural networks (NINNs), to contro...
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02/17/2022
A Deterministic Pathogen Transmission Model Based on High-Fidelity Physics
A deterministic pathogen transmission model based on high-fidelity physi...
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11/22/2021
Data Assimilation with Deep Neural Nets Informed by Nudging
The nudging data assimilation algorithm is a powerful tool used to forec...
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04/01/2021
Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows
Chemically reacting flows are common in engineering, such as hypersonic ...
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06/23/2020
Detailed Simulation of Viral Propagation In The Built Environment
A summary is given of the mechanical characteristics of virus contaminan...
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04/01/2020
Fractional Deep Neural Network via Constrained Optimization
This paper introduces a novel algorithmic framework for a deep neural ne...
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12/06/2019