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A data-driven, physics-informed framework for forecasting the spatiotemporal evolution of chaotic dynamics with nonlinearities modeled as exogenous forcings
Research article (Journal of Computational Physics, 2021) · cited 30× · AI/ML
A data-driven, physics-informed framework for forecasting the spatiotemporal evolution of chaotic dynamics with nonlinearities modeled as exogenous forcings
Summary
A data-driven, physics-informed framework for forecasting the spatiotemporal evolution of chaotic dynamics with nonlinearities modeled as exogenous forcings is a scholarly article[1].
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A data-driven, physics-informed framework for forecasting the spatiotemporal evolution of chaotic dynamics with nonlinearities modeled as exogenous forcings's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A data-driven, physics-informed framework for forecasting the spatiotemporal evolution of chaotic dynamics with nonlinearities modeled as exogenous forcings. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-data-driven-physics-informed-framework-for-forecasting-the-spatiotemporal-evolution-of-chaotic-dynamics-with-nonlinear
MLA“A data-driven, physics-informed framework for forecasting the spatiotemporal evolution of chaotic dynamics with nonlinearities modeled as exogenous forcings.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-data-driven-physics-informed-framework-for-forecasting-the-spatiotemporal-evolution-of-chaotic-dynamics-with-nonlinear.
BibTeX@misc{4ortxyz_a-data-driven-physics-informed-framework-for-forecasting-the-spatiotemporal-evolution-of-chaotic-dynamics-with-nonlinear_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A data-driven, physics-informed framework for forecasting the spatiotemporal evolution of chaotic dynamics with nonlinearities modeled as exogenous forcings}}, year = {2026}, url = {https://4ort.xyz/entity/a-data-driven-physics-informed-framework-for-forecasting-the-spatiotemporal-evolution-of-chaotic-dynamics-with-nonlinear}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A data-driven, physics-informed framework for forecasting the spatiotemporal evolution of chaotic dynamics with nonlinearities modeled as exogenous forcings — https://4ort.xyz/entity/a-data-driven-physics-informed-framework-for-forecasting-the-spatiotemporal-evolution-of-chaotic-dynamics-with-nonlinear (retrieved 2026-05-24)
