Search Results - "Dong, Caibo"

Accelerating the design and development of polymeric materials via deep learning: Current status and future challenges by Li, Dazi, Ru, Yi, Chen, Zhudan, Dong, Caibo, Dong, Yining, Liu, Jun

“…The design and development of polymeric materials have been a hot domain for decades. However, traditional experiments and molecular simulations are…”
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Adaptive Evolutionary Reinforcement Learning with Policy Direction by Dong, Caibo, Li, Dazi

“…Evolutionary Reinforcement Learning (ERL) has garnered widespread attention in recent years due to its inherent robustness and parallelism. However, the…”
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Glass Transition Temperature Prediction of Polymers via Graph Reinforcement Learning by Dong, Caibo, Li, Dazi, Liu, Jun

“…An expansive array of graph-based models has been utilized for accurate prediction of the structure–property relation of polymers. However, these approaches…”
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A combinatorial machine-learning-driven approach for predicting glass transition temperature based on numerous molecular descriptors by Li, Dazi, Dong, Caibo, Chen, Zhudan, Dong, Yining, Liu, Jun

“…Glass transition temperature (T g ) is one of the most significant thermophysical property which is hard to measure experimentally. With the development of…”
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Designing Heterogeneous Surfaces of Two-Dimensional Nanosheets to Maximize Mechanical Reinforcing of Polymer Nanocomposites via Molecular Dynamics Simulation by Gao, Ke, Huang, Yongdi, Han, Yue, Gao, Yangyang, Dong, Caibo, Liu, Jun, Li, Fanzhu, Zhang, Liqun

“…The relationship between the chemical heterogeneity of two-dimensional (2D) filler surfaces and the mechanical properties of polymer nanocomposites (PNCs) is…”
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Predicting glass transition temperature of polymers by combining molecular dynamics simulations and machine learning techniques by Zhan, Siqi, Huang, Wanhui, Dong, Caibo, Chen, Qionghai, Zhao, Hengheng, Duan, Pengwei, Hu, Anwen, Li, Qian, Li, Ying, Liu, Jun, Zhang, Liqun

“…Polymeric materials, valued for their cost-effectiveness and ease of processing, play a pivotal role in diverse applications. Among them, solution polymerized…”
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Double-net DDPG with the Optimal Action Selection Mechanism by Li, Dazi, Dong, Caibo

“…Recently, the deep reinforcement learning method based on actor-critic has a competent performance in continuous action control tasks, such as the proposed…”
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