Thermal conductivity prediction of BN composites based on Enhanced Co-ANN combined with physical attention mechanisms
This study proposes an enhanced co-training artificial neural network (Enhanced Co-ANN) guided by the physical attention mechanisms for the effective thermal conductivity prediction of high filler volume fraction polymer/BN composites. The thermal conductivity of BN composites is influenced by multi...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2026-01-01
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| Serie: | Energy and AI |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S2666546825001958 |
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