Concepedia

Bethany Lusch

BL

Statistics

Publications

15

Citations

2.1K

H-Index

13

Active since

2016

Affiliations

Argonne National Laboratory(Current)

University of Washington Applied Physics Laboratory

Georgia Institute of Technology

University of Washington

Bethany Lusch is an author at Argonne National Laboratory specializing in machine learning, engineering, and computational fluid dynamics.

Publications per year

2016–2023

15

Publications

15

Deep learning for universal linear embeddings of nonlinear dynamics

Bethany Lusch, J. Nathan Kutz, Steven L. Brunton · Nature Communications · 2018 · 1.4K citations · Full text

Computing, Computer Science, Mathematics +17

Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders

Romit Maulik, Bethany Lusch, Prasanna Balaprakash · Physics of Fluids · 2021 · 289 citations · Full text

Natural Sciences, Mathematics, Physics +17

Time-series learning of latent-space dynamics for reduced-order model closure

Romit Maulik, Arvind Mohan, Bethany Lusch et al. · Physica D Nonlinear Phenomena · 2020 · 126 citations · Full text

Engineering, Mathematics, Dynamical Systems +15

A turbulent eddy-viscosity surrogate modeling framework for Reynolds-averaged Navier-Stokes simulations

Romit Maulik, Himanshu Sharma, Saumil Patel et al. · Computers & Fluids · 2020 · 79 citations

Natural Sciences, Mechanical Engineering, Physics +14

Inferring connectivity in networked dynamical systems: Challenges using Granger causality

Bethany Lusch, Pedro D. Maia, J. Nathan Kutz · Physical review. E · 2016 · 48 citations

Engineering, Neuroscience, Causal Inference +16

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