175974 LBNL true https://github.com/liuyangzhuan/STFNO OS S 2025-02-04 Sparsified Time-dependent PDEs FNO (STFNO) v1.0.0 STFNO v1.0.0 https://doi.org/10.11578/dc.20260219.2 STFNO (Sparsified Time-dependent PDEs FNO code) is an extension of the popular Fourier Neural Operator (FNO) architecture to the solution of coupled systems of time-dependent partial differential equations. STFNO leverages the sparsified dependencies on the field quantities based on the semi-discretiezed form of the PDEs, enabling significant reduction in the number of model parameters. STFNO has been extensively tested on two fusion simulation codes, NIMROD and GTC, and can be easily tailored to other systems of PDEs. United States LBNL 2025-025 2026-02-19 2026-02-19 false agithire@lbl.gov false rahman@lbl.gov Mustafa Rahman Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States) liuyangzhuan@lbl.gov Yang Liu Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States) USDOE AC02-05CH11231 true Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States) true BSD 3-clause "New" or "Revised" License