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ORCIDM. Giselle Fernández-Godino
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Informal and Other Publications
- 2024
[i8]Yinan Wang, M. Giselle Fernández-Godino, Nipun Gunawardena, Donald D. Lucas, Xiaowei Yue:
Spatiotemporal Predictions of Toxic Urban Plumes Using Deep Learning. CoRR abs/2406.02582 (2024)- [i7]M. Giselle Fernández-Godino, Wai Tong Chung, Akshay A. Gowardhan, Matthias Ihme, Qingkai Kong, Donald D. Lucas, Stephen C. Myers:
A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport. CoRR abs/2412.10945 (2024) - 2022
- [i6]M. Giselle Fernández-Godino, Donald D. Lucas, Qingkai Kong:
Learning Physics through Images: An Application to Wind-Driven Spatial Patterns. CoRR abs/2202.01762 (2022) - 2021
- [i5]Qingkai Kong, Andrea Chiang, Ana C. Aguiar, M. Giselle Fernández-Godino, Stephen C. Myers, Donald D. Lucas:
Deep Convolutional Autoencoders as Generic Feature Extractors in Seismological Applications. CoRR abs/2110.11802 (2021) - 2020
- [i4]Julia B. Nakhleh, M. Giselle Fernández-Godino, Michael J. Grosskopf, Brandon M. Wilson, John Kline, Gowri Srinivasan:
Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning. CoRR abs/2010.04254 (2020) - [i3]M. Giselle Fernández-Godino, Michael J. Grosskopf, Julia B. Nakhleh, Brandon M. Wilson, John Kline, Gowri Srinivasan:
Identifying Entangled Physics Relationships through Sparse Matrix Decomposition to Inform Plasma Fusion Design. CoRR abs/2010.15208 (2020) - [i2]Yinan Wang, Diane Oyen, Weihong Guo, Anishi Mehta, Cory Braker Scott, Nishant Panda, M. Giselle Fernández-Godino, Gowri Srinivasan, Xiaowei Yue:
StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials. CoRR abs/2011.10227 (2020) - [i1]Cristina Garcia-Cardona, M. Giselle Fernández-Godino, Daniel O'Malley, Tanmoy Bhattacharya:
Uncertainty Bounds for Multivariate Machine Learning Predictions on High-Strain Brittle Fracture. CoRR abs/2012.15739 (2020)
Coauthor Index
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