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03/02/2021
Projection-tree reduced order modeling for fast N-body computations
This work presents a data-driven reduced-order modeling framework to acc...
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03/17/2020
Pressio: Enabling projection-based model reduction for large-scale nonlinear dynamical systems
This work introduces Pressio, an open-source project aimed at enabling l...
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10/24/2019
Windowed least-squares model reduction for dynamical systems
This work proposes a windowed least-squares (WLS) approach for model-red...
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07/27/2019
Time-series machine-learning error models for approximate solutions to parameterized dynamical systems
This work proposes a machine-learning framework for modeling the error i...
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02/27/2019
Online adaptive basis refinement and compression for reduced-order models via vector-space sieving
In many applications, projection-based reduced-order models (ROMs) have ...
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02/27/2019
Online adaptive basis refinement and compression for reduced-order models
In many applications, projection-based reduced-order models (ROMs) have ...
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12/01/2018
Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning
Data I/O poses a significant bottleneck in large-scale CFD simulations; ...
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08/06/2018