Multi-cover persistence (MCP)-based machine learning for polymer property prediction

Multi-cover persistence (MCP)-based machine learning for polymer property prediction

Accurate and efficient prediction of polymers properties is crucial for polymer design. Recently, data-driven artificial intelligence (AI) models have demonstrated great promise in polymers property analysis. Even with the great progresses, a pivotal challenge in all the AI-driven models remains to...

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Bibliografiske detaljer
Main Authors: Zhang, Yipeng, Shen, Cong, Xia, Kelin
Andre forfattere: School of Physical and Mathematical Sciences
Format: Journal Article
Sprog:English
Udgivet: 2024
Fag:
Mathematical Sciences
Molecular representation
Multi-cover persistence
Online adgang:https://hdl.handle.net/10356/181350

Internet

https://hdl.handle.net/10356/181350

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