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Adaptive fractional physics-informed neural networks for solving forward and inverse problems of anomalous heat conduction in functionally graded materials
Research article (International Journal of Heat and Mass Transfer, 2024) · cited 23× · AI/ML
Adaptive fractional physics-informed neural networks for solving forward and inverse problems of anomalous heat conduction in functionally graded materials
Summary
Adaptive fractional physics-informed neural networks for solving forward and inverse problems of anomalous heat conduction in functionally graded materials is a scholarly article[1].
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Adaptive fractional physics-informed neural networks for solving forward and inverse problems of anomalous heat conduction in functionally graded materials's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Adaptive fractional physics-informed neural networks for solving forward and inverse problems of anomalous heat conduction in functionally graded materials. Retrieved May 24, 2026, from https://4ort.xyz/entity/adaptive-fractional-physics-informed-neural-networks-for-solving-forward-and-inverse-problems-of-anomalous-heat-conducti
MLA“Adaptive fractional physics-informed neural networks for solving forward and inverse problems of anomalous heat conduction in functionally graded materials.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/adaptive-fractional-physics-informed-neural-networks-for-solving-forward-and-inverse-problems-of-anomalous-heat-conducti.
BibTeX@misc{4ortxyz_adaptive-fractional-physics-informed-neural-networks-for-solving-forward-and-inverse-problems-of-anomalous-heat-conducti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Adaptive fractional physics-informed neural networks for solving forward and inverse problems of anomalous heat conduction in functionally graded materials}}, year = {2026}, url = {https://4ort.xyz/entity/adaptive-fractional-physics-informed-neural-networks-for-solving-forward-and-inverse-problems-of-anomalous-heat-conducti}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Adaptive fractional physics-informed neural networks for solving forward and inverse problems of anomalous heat conduction in functionally graded materials — https://4ort.xyz/entity/adaptive-fractional-physics-informed-neural-networks-for-solving-forward-and-inverse-problems-of-anomalous-heat-conducti (retrieved 2026-05-24)
