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Integration of multi-physics and machine learning-based surrogate modelling approaches for multi-objective optimization of deformed GDL of PEM fuel cells
Research article (Energy and AI, 2023) · cited 84× · AI/ML
Integration of multi-physics and machine learning-based surrogate modelling approaches for multi-objective optimization of deformed GDL of PEM fuel cells
Summary
Integration of multi-physics and machine learning-based surrogate modelling approaches for multi-objective optimization of deformed GDL of PEM fuel cells is a scholarly article[1].
Key Facts
Integration of multi-physics and machine learning-based surrogate modelling approaches for multi-objective optimization of deformed GDL of PEM fuel cells's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Integration of multi-physics and machine learning-based surrogate modelling approaches for multi-objective optimization of deformed GDL of PEM fuel cells. Retrieved May 24, 2026, from https://4ort.xyz/entity/integration-of-multi-physics-and-machine-learning-based-surrogate-modelling-approaches-for-multi-objective-optimization-
MLA“Integration of multi-physics and machine learning-based surrogate modelling approaches for multi-objective optimization of deformed GDL of PEM fuel cells.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/integration-of-multi-physics-and-machine-learning-based-surrogate-modelling-approaches-for-multi-objective-optimization-.
BibTeX@misc{4ortxyz_integration-of-multi-physics-and-machine-learning-based-surrogate-modelling-approaches-for-multi-objective-optimization-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Integration of multi-physics and machine learning-based surrogate modelling approaches for multi-objective optimization of deformed GDL of PEM fuel cells}}, year = {2026}, url = {https://4ort.xyz/entity/integration-of-multi-physics-and-machine-learning-based-surrogate-modelling-approaches-for-multi-objective-optimization-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Integration of multi-physics and machine learning-based surrogate modelling approaches for multi-objective optimization of deformed GDL of PEM fuel cells — https://4ort.xyz/entity/integration-of-multi-physics-and-machine-learning-based-surrogate-modelling-approaches-for-multi-objective-optimization- (retrieved 2026-05-24)
