A Roe-like numerical method for weakly hyperbolic systems of equations in conservation and non-conservation form. - Timothy A. Smith; David J. Petty; Carlos Pantano (J. Comput. Phys., 2016)

Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation. - Stephen G. Penny; Timothy A. Smith; Tse-Chun Chen; Jason A. Platt; Hsin-Yi Lin; Michael Goodliff; Henry D. I. Abarbanel (CoRR, 2021)

'Next Generation' Reservoir Computing: an Empirical Data-Driven Expression of Dynamical Equations in Time-Stepping Form. - Tse-Chun Chen; Stephen G. Penny; Timothy A. Smith; Jason A. Platt (CoRR, 2022)

A systematic exploration of reservoir computing for forecasting complex spatiotemporal dynamics. - Jason A. Platt; Stephen G. Penny; Timothy A. Smith; Tse-Chun Chen; Henry D. I. Abarbanel (Neural Networks, 2022)

Constraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks. - Jason A. Platt; Stephen G. Penny; Timothy A. Smith; Tse-Chun Chen; Henry D. I. Abarbanel (CoRR, 2023)

Temporal Subsampling Diminishes Small Spatial Scales in Recurrent Neural Network Emulators of Geophysical Turbulence. - Timothy A. Smith; Stephen G. Penny; Jason A. Platt; Tse-Chun Chen (CoRR, 2023)

xesn: Echo state networks powered by Xarray and Dask. - Timothy A. Smith; Stephen G. Penny; Jason A. Platt; Tse-Chun Chen (J. Open Source Softw., 2024)

HRRRCast: a data-driven emulator for regional weather forecasting at convection allowing scales. - Daniel S. Abdi; Isidora Jankov; Paul Madden; Vanderlei Vargas; Timothy A. Smith; Sergey Frolov; Montgomery Flora; Corey K. Potvin (CoRR, 2025)