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A Physically Constrained Deep-Learning Fusion Method for Estimating Surface NO2 Concentration from Satellite and Ground Monitors 一种物理约束的深度学习融合方法,用于从卫星和地面监测器估算表面NO2浓度 Xing, Jia; Baek, Bok H.; Li, Siwei; Wang, Chi-Tsan; Song, Ge; Ma, Siqi; Zheng, Shuxin; Liu, Chang; Tong, Daniel; Woo, Jung-Hun; Liu, Tie-Yan; Fu, Joshua S. 分享 收藏
Predicting equilibrium distributions for molecular systems with deep learning (vol 6, pg 558, 2024) 用深度学习预测分子系统的平衡分布 (第6卷,558页,2024) Zheng, Shuxin; He, Jiyan; Liu, Chang; Shi, Yu; Lu, Ziheng; Feng, Weitao; Ju, Fusong; Wang, Jiaxi; Zhu, Jianwei; Min, Yaosen; Zhang, He; Tang, Shidi; Hao, Hongxia; Jin, Peiran; Chen, Chi; Noe, Frank; Liu, Haiguang; Liu, Tie-Yan 分享 收藏
From Static to Dynamic Structures: Improving Binding Affinity Prediction with Graph-Based Deep Learning 从静态结构到动态结构: 使用基于图的深度学习改进绑定亲和力预测 Min, Yaosen; Wei, Ye; Wang, Peizhuo; Wang, Xiaoting; Li, Han; Wu, Nian; Bauer, Stefan; Zheng, Shuxin; Shi, Yu; Wang, Yingheng; Wu, Ji; Zhao, Dan; Zeng, Jianyang 分享 收藏
Predicting equilibrium distributions for molecular systems with deep learning 基于深度学习的分子系统平衡分布预测 Zheng, Shuxin; He, Jiyan; Liu, Chang; Shi, Yu; Lu, Ziheng; Feng, Weitao; Ju, Fusong; Wang, Jiaxi; Zhu, Jianwei; Min, Yaosen; Zhang, He; Tang, Shidi; Hao, Hongxia; Jin, Peiran; Chen, Chi; Noe, Frank; Liu, Haiguang; Liu, Tie-Yan 分享 收藏
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Rapid Inference of Nitrogen Oxide Emissions Based on a Top-Down Method with a Physically Informed Variational Autoencoder Xing, Jia; Li, Siwei; Zheng, Shuxin; Liu, Chang; Wang, Xiaochun; Huang, Lin; Song, Ge; He, Yihan; Wang, Shuxiao; Sahu, Shovan Kumar; Zhang, Jia; Bian, Jiang; Zhu, Yun; Liu, Tie-Yan; Hao, Jiming 分享 收藏
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Deep Learning for Prediction of the Air Quality Response to Emission Changes 用于预测空气质量对排放变化的响应的深度学习 Xing, Jia; Zheng, Shuxin; Ding, Dian; Kelly, James T.; Wang, Shuxiao; Li, Siwei; Qin, Tao; Ma, Mingyuan; Dong, Zhaoxin; Jang, Carey; Zhu, Yun; Zheng, Haotian; Ren, Lu; Liu, Tie-Yan; Hao, Jiming 分享 收藏