Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems

Recent advances in physical reservoir computing: A review

(2019) Gouhei Tanaka et al.   NEURAL NETWORKS

Hybrid forecasting of chaotic processes: Using machine learning in conjunction with a knowledge-based model

(2018) Jaideep Pathak et al.   CHAOS

Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach

(2018) Jaideep Pathak et al.   PHYSICAL REVIEW LETTERS

Data-assisted reduced-order modeling of extreme events in complex dynamical systems

(2018) Zhong Yi Wan et al.   PLoS One

Efficient design of hardware-enabled reservoir computing in FPGAs

(2018) Bogdan Penkovsky et al.   JOURNAL OF APPLIED PHYSICS

Reservoir Computing Beyond Memory-Nonlinearity Trade-off

(2017) Masanobu Inubushi et al.   Scientific Reports

The quiet revolution of numerical weather prediction

(2015) Peter Bauer et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

High-performance photonic reservoir computer based on a coherently driven passive cavity

(2015) Quentin Vinckier et al.   Optica