An interpretable deep learning strategy for effective thermal conductivity prediction of porous materials

Research article (International Journal of Heat and Mass Transfer, 2023) · cited 45× · AI/ML
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An interpretable deep learning strategy for effective thermal conductivity prediction of porous materials

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An interpretable deep learning strategy for effective thermal conductivity prediction of porous materials is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An interpretable deep learning strategy for effective thermal conductivity prediction of porous materials. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-interpretable-deep-learning-strategy-for-effective-thermal-conductivity-prediction-of-porous-materials
MLA “An interpretable deep learning strategy for effective thermal conductivity prediction of porous materials.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-interpretable-deep-learning-strategy-for-effective-thermal-conductivity-prediction-of-porous-materials.
BibTeX @misc{4ortxyz_an-interpretable-deep-learning-strategy-for-effective-thermal-conductivity-prediction-of-porous-materials_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An interpretable deep learning strategy for effective thermal conductivity prediction of porous materials}}, year = {2026}, url = {https://4ort.xyz/entity/an-interpretable-deep-learning-strategy-for-effective-thermal-conductivity-prediction-of-porous-materials}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An interpretable deep learning strategy for effective thermal conductivity prediction of porous materials — https://4ort.xyz/entity/an-interpretable-deep-learning-strategy-for-effective-thermal-conductivity-prediction-of-porous-materials (retrieved 2026-05-24)

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