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02/03/2022
Learning Physics through Images: An Application to Wind-Driven Spatial Patterns
For centuries, scientists have observed nature to understand the laws th...
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10/22/2021
Deep Convolutional Autoencoders as Generic Feature Extractors in Seismological Applications
The idea of using a deep autoencoder to encode seismic waveform features...
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11/20/2020
StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials
Catastrophic failure in brittle materials is often due to the rapid grow...
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10/28/2020
Identifying Entangled Physics Relationships through Sparse Matrix Decomposition to Inform Plasma Fusion Design
A sustainable burn platform through inertial confinement fusion (ICF) ha...
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10/08/2020