Computational Soft Matter and Biophysics Group @ City University of Hong Kong
Multi-scale modeling, from atomistic to coarse-grained, and statistical mechanics to perform research in soft matter physics and biophysics
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- Yeung Building P6704, City University of Hong Kong, 83 Tat Chee Ave, Kowloon Tong, Hong Kong
- http://personal.cityu.edu.hk/liangdai/
- liangdai@cityu.edu.hk
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Applying-DRL-to-HP-Model-for-Protein-Structure-Prediction
Applying-DRL-to-HP-Model-for-Protein-Structure-Prediction PublicSource code and dataset for 2022 Publication "Applying Deep Reinforcement Learning to the HP Model for Protein Structure Prediction"
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Identify-Knot-Types-by-ML-PRE2020
Identify-Knot-Types-by-ML-PRE2020 PublicSource code and data for "Identifying knot types of polymer conformations by machine learning" PhysRevE.101.022502
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- Identify-Knot-Types-by-ML-PRE2020 Public
Source code and data for "Identifying knot types of polymer conformations by machine learning" PhysRevE.101.022502
CompSoftMatterBiophysics-CityU-HK/Identify-Knot-Types-by-ML-PRE2020’s past year of commit activity - Applying-DRL-to-HP-Model-for-Protein-Structure-Prediction Public
Source code and dataset for 2022 Publication "Applying Deep Reinforcement Learning to the HP Model for Protein Structure Prediction"
CompSoftMatterBiophysics-CityU-HK/Applying-DRL-to-HP-Model-for-Protein-Structure-Prediction’s past year of commit activity
