Achieving robustness in hybrid models: A physics-informed regularization approach for spatiotemporal parameter estimation in PDEs

Research article (Process Safety and Environmental Protection, 2024) · cited 23× · AI/ML
Press Enter · cited answer in seconds

Achieving robustness in hybrid models: A physics-informed regularization approach for spatiotemporal parameter estimation in PDEs

Summary

Achieving robustness in hybrid models: A physics-informed regularization approach for spatiotemporal parameter estimation in PDEs is a scholarly article[1].

Key Facts

  • Achieving robustness in hybrid models: A physics-informed regularization approach for spatiotemporal parameter estimation in PDEs's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Achieving robustness in hybrid models: A physics-informed regularization approach for spatiotemporal parameter estimation in PDEs. Retrieved May 24, 2026, from https://4ort.xyz/entity/achieving-robustness-in-hybrid-models-a-physics-informed-regularization-approach-for-spatiotemporal-parameter-estimation
MLA “Achieving robustness in hybrid models: A physics-informed regularization approach for spatiotemporal parameter estimation in PDEs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/achieving-robustness-in-hybrid-models-a-physics-informed-regularization-approach-for-spatiotemporal-parameter-estimation.
BibTeX @misc{4ortxyz_achieving-robustness-in-hybrid-models-a-physics-informed-regularization-approach-for-spatiotemporal-parameter-estimation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Achieving robustness in hybrid models: A physics-informed regularization approach for spatiotemporal parameter estimation in PDEs}}, year = {2026}, url = {https://4ort.xyz/entity/achieving-robustness-in-hybrid-models-a-physics-informed-regularization-approach-for-spatiotemporal-parameter-estimation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Achieving robustness in hybrid models: A physics-informed regularization approach for spatiotemporal parameter estimation in PDEs — https://4ort.xyz/entity/achieving-robustness-in-hybrid-models-a-physics-informed-regularization-approach-for-spatiotemporal-parameter-estimation (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/achieving-robustness-in-hybrid-models-a-physics-informed-regularization-approach-for-spatiotemporal-parameter-estimation · Last refreshed: