Machine Learning for Improved Current-Density Reconstruction from Two-Dimensional Vector Magnetic Images

Statistics for Differential Topological Properties between Datasets with an Application to Reservoir Computers

Prediction Beyond the Medium Range With an Atmosphere-Ocean Model That Combines Physics-Based Modeling and Machine Learning

Learning Beyond Experience: Generalizing to Unseen State Space with Reservoir Computing

Enabling Small Anomaly Detection Using Finite-Difference Magnetic Gradiometry

Modeling the Impact of Hospitalization-Induced Behavioral Changes on the Spread of COVID-19 in New York City

Modeling the Impact of Hospitalization-Induced Behavioral Changes on SARS-COV-2 Spread in New York City

Tailored Forecasting from Short Time Series via Meta-learning

Free Electron laser in the Magnetically Dominated Regime: Simulations with the ONEDFEL Code

Machine-Learning Closure for Vlasov-Poisson Dynamics in Fourier-Hermite Space