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	Uncertainty quantification in molecular property prediction through spherical mixture density networks Journal article Engineering Applications of Artificial Intelligence,2023, volume: 123 Authors: Fan, Wentao; Zeng, Lidan; Wang, Tian Favorite \| View/Download：6/0 \| Submit date：2023/09/21 Graph structure data Mixture density network Molecular property predictions Uncertainty quantification Von mises-fisher distribution
	Global Well-Posedness of Stochastic Nematic Liquid Crystals with Random Initial and Boundary Conditions Driven by Multiplicative Noise Journal article Applied Mathematics and Optimization,2023, volume: 87, issue: 1 Authors: Wang, Lidan; Wu, Jianglun; Zhou, Guoli Favorite \| View/Download：2/0 \| Submit date：2023/05/30 Anticipating initial condition Malliavin calculus Stochastic nematic liquid crystals flows
	Global well-posedness of 2D stochastic Burgers equations with multiplicative noise Journal article Statistics and Probability Letters,2022, volume: 182 Authors: Zhou, Guoli; Wang, Lidan; Wu, Jianglun Favorite \| View/Download：3/0 \| Submit date：2023/05/30 Galerkin approximation Global well-posedness Maximum principle Stochastic 2D Burgers equations