A Machine Learning-Based Global Atmospheric Forecast Model

Efficient Statistical Model for Predicting Electromagnetic Wave Distribution in Coupled Enclosures

Wave Scattering Properties of Multiple Weakly Coupled Complex Systems

A Stochastic Green's Function for Solution of Wave Propagation in Wave-Chaotic Environments

Separation of Chaotic Signals by Reservoir Computing

Wavefront Shaping with a Tunable Metasurface: Creating Cold Spots and Coherent Perfect Absorption at Arbitrary Frequencies

Fluctuations and Correlations in Kerr Optical Frequency Combs with Additive Gaussian Noise

Machine Learning Based on Reservoir Computing with Time-Delayed Optoelectronic and Photonic Systems

Critical Network Cascades with Re-excitable Nodes: Why Treelike Approximations Usually Work, When They Break Down, and How to Correct Them

Using Data Assimilation to Train a Hybrid Forecast System that Combines Machine-Learning and Knowledge-Based Components