M. Giselle Fernández-Godino

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-Agent Collaboration for Automated Design Exploration on High Performance Computing Systems.
CoRR
Harshitha Menon, Charles F. Jekel, Kevin Korner, Brian Gunnarson, Nathan K. Brown, Michael Stees, M. Giselle Fernández-Godino, Walter Nissen, Meir H. Shachar, Dane M. Sterbentz, William Schill, Yue Hao, Robert N. Rieben, William Roshan Quadros, Steven Owen, Scott Mitchell, Ismael D. Boureima, Jonathan L. Belof
2025 J jnl
Multi-Agent Design Assistant for the Simulation of Inertial Fusion Energy.
CoRR
Meir H. Shachar, Dane M. Sterbentz, Harshitha Menon, Charles F. Jekel, M. Giselle Fernández-Godino, Nathan K. Brown, Ismael D. Boureima, Yue Hao, Kevin Körner, Robert N. Rieben, Daniel A. White, William Schill, Jonathan L. Belof
2025 J jnl
Spatio-temporal, multi-field deep learning of shock propagation in meso-structured media.
CoRR
M. Giselle Fernández-Godino, Meir H. Shachar, Kevin Körner, Jonathan L. Belof, Mukul Kumar, Jonathan Lind, William Schill
2024 J jnl
A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport.
CoRR
M. Giselle Fernández-Godino, Wai Tong Chung, Akshay A. Gowardhan, Matthias Ihme, Qingkai Kong, Donald D. Lucas, Stephen C. Myers
2024 J jnl
Spatiotemporal Predictions of Toxic Urban Plumes Using Deep Learning.
CoRR
Yinan Wang, M. Giselle Fernández-Godino, Nipun Gunawardena, Donald D. Lucas, Xiaowei Yue
2022 J jnl
Learning Physics through Images: An Application to Wind-Driven Spatial Patterns.
CoRR
M. Giselle Fernández-Godino, Donald D. Lucas, Qingkai Kong
2021 J jnl
Deep Convolutional Autoencoders as Generic Feature Extractors in Seismological Applications.
CoRR
Qingkai Kong, Andrea Chiang, Ana C. Aguiar, M. Giselle Fernández-Godino, Stephen C. Myers, Donald D. Lucas
2020 J jnl
Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning.
CoRR
Julia B. Nakhleh, M. Giselle Fernández-Godino, Michael J. Grosskopf, Brandon M. Wilson, John Kline, Gowri Srinivasan
2020 J jnl
Identifying Entangled Physics Relationships through Sparse Matrix Decomposition to Inform Plasma Fusion Design.
CoRR
M. Giselle Fernández-Godino, Michael J. Grosskopf, Julia B. Nakhleh, Brandon M. Wilson, John Kline, Gowri Srinivasan
2020 J jnl
StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials.
CoRR
Yinan Wang, Diane Oyen, Weihong Guo, Anishi Mehta, Cory Braker Scott, Nishant Panda, M. Giselle Fernández-Godino, Gowri Srinivasan, Xiaowei Yue
2020 J jnl
Uncertainty Bounds for Multivariate Machine Learning Predictions on High-Strain Brittle Fracture.
CoRR
Cristina Garcia-Cardona, M. Giselle Fernández-Godino, Daniel O'Malley, Tanmoy Bhattacharya