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

• Main Authors: Zhang, Yipeng, Shen, Cong, Xia, Kelin
• Other Authors: School of Physical and Mathematical Sciences
• Format: Article
• Language: English
• Published: 2024
• Subjects: Mathematical Sciences; Molecular representation; Multi-cover persistence
• Online Access: https://hdl.handle.net/10356/181350
• Institution: Nanyang Technological University

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...