Abstract is missing.
- Generalized Physics-Informed Learning through Language-Wide Differentiable ProgrammingChristopher Rackauckas, Alan Edelman, Keno Fischer, Mike Innes, Elliot Saba, Viral B. Shah, Will Tebbutt. [doi]
- Deep Sensing of Ocean Wave Heights with Synthetic Aperture RadarBrandon Quach, Yannik Glaser, Justin Stopa, Peter Sadowski. [doi]
- Deep Learning for Climate Models of the Atlantic OceanAnton Nikolaev, Ingo Richter, Peter Sadowski. [doi]
- Nonlocal Physics-Informed Neural Networks - A Unified Theoretical and Computational Framework for Nonlocal ModelsMarta D'Elia, George E. Karniadakis, Guofei Pang, Michael L. Parks. [doi]
- PrefaceJonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler Hesser. [doi]
- Physics-Informed Machine Learning for Real-time Reservoir ManagementMaruti Kumar Mudunuru, Daniel O'Malley, Shriram Srinivasan, Jeffrey D. Hyman, Matthew R. Sweeney, Luke Frash, Bill Carey, Michael R. Gross, Nathan J. Welch, Satish Karra, Velimir V. Vesselinov, Qinjun Kang, Hongwu Xu, Rajesh J. Pawar, Tim Carr, Liwei Li, George D. Guthrie, Hari S. Viswanathan. [doi]
- Data-Driven Inverse Modeling with Incomplete ObservationsKailai Xu, Eric Darve. [doi]
- GMLS-Nets: A Machine Learning Framework for Unstructured DataNathaniel Trask, Ravi G. Patel, Paul J. Atzberger, Ben J. Gross. [doi]
- Continuous Representation of Molecules using Graph Variational AutoencoderMohammadamin Tavakoli, Pierre Baldi. [doi]
- Physics-Informed Spatiotemporal Deep Learning for Emulating Coupled Dynamical SystemsAnishi Mehta, Cory Scott, Diane Oyen, Nishant Panda, Gowri Srinivasan. [doi]
- A 2D Fully Convolutional Neural Network for Nearshore And Surf-Zone Bathymetry Inversion from Synthetic Imagery of Surf-Zone using the Model CelerisAdam Collins, Katherine L. Brodie, Spicer Bak, Tyler Hesser, Matthew W. Farthing, Douglas W. Gamble, Joseph W. Long. [doi]
- Permeability Prediction of Porous Media using Convolutional Neural Networks with Physical PropertiesHongkyu Yoon, Darryl J. Melander, Stephen J. Verzi. [doi]
- Surfzone Topography-informed Deep Learning Techniques to Nearshore Bathymetry with Sparse MeasurementsYizhou Qian, Hojat Ghorbanidehno, Matthew W. Farthing, Ty Hesser, Peter K. Kitanidis, Eric F. Darve. [doi]
- DeepXDE: A Deep Learning Library for Solving Differential EquationsLu Lu 0010, Xuhui Meng, Zhiping Mao, George Em Karniadakis. [doi]
- Enforcing Constraints for Time Series Prediction in Supervised, Unsupervised and Reinforcement LearningPanos Stinis. [doi]
- Finding Multiple Solutions of ODEs with Neural NetworksMarco Di Giovanni, David Sondak, Pavlos Protopapas, Marco Brambilla 0001. [doi]
- Event-Triggered Reinforcement Learning; An Application to Buildings' Micro-Climate ControlAshkan Haji Hosseinloo, Munther A. Dahleh. [doi]
- A Weighted Sparse-Input Neural Network Technique Applied to Identify Important Features for Vortex-Induced VibrationLeixin Ma, Themistocles Resvanis, Kim Vandiver. [doi]