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Surface and Interface Engineering for Advanced Nanofiltration Membranes

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Chinese Journal of Polymer Science 2022年第2期40卷 124-137页

作者： bian-bian Guo Cheng-Ye Zhu zhi-Kang Xu Ministry of Education Key Laboratory of Macromolecular Synthesis and FunctionalizationKey Laboratory of Adsorption and Separation Materials&Technologies of Zhejiang ProvinceDepartment of Polymer Science and EngineeringZhejiang UniversityHangzhou 310027China

Nanofiltration has been attracting great attention in alleviating the global water crisis because of its high efficiency,mild operation,and strong *** decades,it remains a challenge to break the upper limit of performance and establish the formation-structureproperty relationship for nanofiltration *** feature article summarizes our recent progress in the preparation of high-performance thin-film composite(TFC)nanofiltration membranes,focusing on the mussel-inspired deposition method and the optimized interfacial polymerization(IP).By accelerating the oxidation of polydopamine and equilibrating the rate of aggregation and deposition processes,the mussel-inspired deposition method realizes the rapid and uniform formation of selective coatings or *** deposition systems endow the selective layer with rich chemical structures and easy post-functionalization,highlighting its potential in water *** for optimizing the conventional IP,the rapid polycondensation of amine and acid chloride groups is slowed down to enable the controllability of IP at the water-organic *** homogeneity and integrity of the TFC membranes are improved by constructing a uniform reaction platform and introducing a viscous medium to control the amine diffusion,which facilitates the water permeability and promotes the separation *** have proposed a series of practical strategies for improving TFC membranes and might provide more inspiration for other nanofiltration techniques.

关键词： Nanofiltration Thin-film composite membranes Mussel-inspired deposition Interfacial polymerization

Reinforcement Learning for Linear Continuous-time Systems: an Incremental Learning Approach

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IEEE/CAA Journal of Automatica Sinica 2019年第2期6卷 433-440页

作者： Tao bian Zhong-ping Jiang Bank of America Merrill Lynch IEEE the Control and Networks Lab Department of Electrical and Computer Engineering Tandon School of Engineering New York University

In this paper, we introduce a novel reinforcement learning(RL) scheme for linear continuous-time dynamical systems. Different from traditional batch learning algorithms,an incremental learning approach is developed, which provides a more efficient way to tackle the on-line learning problem in realworld applications. We provide concrete convergence and robust analysis on this incremental-learning algorithm. An extension to solving robust optimal control problems is also given. Two simulation examples are also given to illustrate the effectiveness of our theoretical result.

关键词： Adaptive optimal control robust dynamic programming value iteration(Ⅵ)

二维光晶格中旋转玻色-爱因斯坦凝聚基态中的涡旋分布

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原子与分子物理学报 2025年第1期42卷 118-126页

作者：张志强王平平吕亚南郑州商学院大学物理教研室郑州451200

利用多重网格预条件共轭梯度法,研究了囚禁在二维光晶格与谐振势组成的复合势阱中的旋转玻色-爱因斯坦凝聚体中的涡旋分布,探讨了光晶格深度、晶格常数和凝聚体旋转频率对旋转凝聚体中涡旋分布的影响.结果表明,由于光晶格势阱的引入,凝... 详细信息

利用多重网格预条件共轭梯度法,研究了囚禁在二维光晶格与谐振势组成的复合势阱中的旋转玻色-爱因斯坦凝聚体中的涡旋分布,探讨了光晶格深度、晶格常数和凝聚体旋转频率对旋转凝聚体中涡旋分布的影响.结果表明,由于光晶格势阱的引入,凝聚体中产生涡旋,且涡旋位于外部势阱极小值处.随着光晶格势阱深度的增加,凝聚体集聚在光晶格势阱的底部,形成格点状分布,其中的涡旋形成涡旋对,并融合形成更大的涡旋.在晶格常数较小时,凝聚体中涡旋分布形成类似Abrikosov涡旋晶格,随着晶格常数的增加,凝聚体中涡旋的分布形式出现多样化,出现了内中外三层结构.随着旋转频率的增加,凝聚体中涡旋数目也随之增加,涡旋分布也更加复杂和富于变化,凝聚体密度分布范围也随着旋转频率的增加而扩展.当凝聚体旋转频率接近外部谐振势阱的谐振频率,即凝聚体处于最低朗道能级近似时,其中的涡旋数量大幅度增加,且出现涡旋成对组合与融合现象,并形成了涡旋斑图花纹.

关键词：波色-爱因斯坦凝聚涡旋二维光晶格复合势阱

New results in global stabilization for stochastic nonlinear systems

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Control Theory and Technology 2016年第1期14卷 57-67页

作者： Tao bian Zhong-ping JIANG Control and Networks Lab Department of Electrical and Computer Engineering Tandon School of Engineering New York University 5 Metrotech Center Brooklyn NY 11201 U.S.A.

This paper presents new results on the robust global stabilization and the gain assignment problems for stochastic nonlinear systems. Three stochastic nonlinear control design schemes are developed. Furthermore, a new stochastic gain assignment method is developed for a class of uncertain interconnected stochastic nonlinear systems. This method can be combined with the nonlinear small-gain theorem to design partial-state feedback controllers for stochastic nonlinear systems. Two numerical examples are given to illustrate the effectiveness of the proposed methodology.

关键词： Stochastic nonlinear systems stochastic input-to-output stability stabilization gain assignment small-gain

Engineering lattice defects in 2D nanomaterials for enhancing biomedical performances

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Particuology 2022年第5期20卷 121-133页

作者： zhi Qi Li Li zhi ping Xu Australian Institute for Bioengineering and Nanotechnology The University of QueenslandBrisbaneQLD 4072Australia

2D nanomaterials are widely investigated for biomedical applications,attributed to their large specific surface area,high therapeutic loading capacity,and unique optical,thermal,and/or electronic *** defects affect the theranostic performance of 2D nanomaterials significantly by altering their electronic properties and chemical *** investigations have shown that defect-rich 2D nanomaterials are capable of enhancing tumor treatment through efficient drug delivery,photothermal and photodynamic therapies(PTT and PDT),and improving diagnostics via computed tomography(CT),photoacoustic and magnetic resonance *** review summarizes recent progresses,including synthesis,characterization approach,and applications of defect-engineered 2D nanomaterials that are potentially useful in cancer *** expert opinions are also proposed as the conclusion.

关键词： 2D nanomaterials Engineering lattice defects Cancer theranostics Phototherapy

Adaptive dynamic programming for finite-horizon optimal control of linear time-varying discrete-time systems

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Control Theory and Technology 2019年第1期17卷 73-84页

作者： Bo PANG Tao bian Zhong-ping JIANG Control and Networks (CAN) Lab Department of Electrical and Computer Engineering Tandon School of Engineering New York University Brooklyn NY 11201 U.S.A. Bank of America Merrill Lynch One Bryant Park New York NY 70036 U.S.A.

This paper studies data-driven learning-based methods for the finite-horizon optimal control of linear time-varying discretetime systems. First, a novel finite-horizon Policy Iteration (PI) method for linear time-varying discrete-time systems is presented. Its connections with existing in finite-horizon PI methods are discussed. Then, both data-drive n off-policy PI and Value Iteration (VI) algorithms are derived to find approximate optimal controllers when the system dynamics is completely unknown. Under mild conditions, the proposed data-driven off-policy algorithms converge to the optimal solution. Finally, the effectiveness and feasibility of the developed methods are validated by a practical example of spacecraft attitude control.

关键词： Optimal control time-varying system adaptive dynamic programming policy iteration (PI) value iteration(VI)

Fuzzy finite difference method for heat conduction analysis with uncertain parameters

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Acta Mechanica Sinica 2014年第3期30卷 383-390页

作者： Chong Wang zhi-ping Qiu Institute of Solid Mechanics Beihang University

A new numerical technique named as fuzzy finite difference method is proposed to solve the heat conduction problems with fuzzy uncertainties in both the phys- ical parameters and initial/boundary conditions. In virtue of the level-cut method, the difference discrete equations with fuzzy parameters are equivalently transformed into groups of interval equations. New stability analysis theory suited to fuzzy difference schemes is developed. Based on the parameter perturbation method, the interval ranges of the uncertain temperature field can be approximately predicted. Subsequently, fuzzy solutions to the original difference equations are obtained by the fuzzy resolution theorem. Two numerical examples are given to demonstrate the feasibility and efficiency of the presented method for solving both steady-state and transient heat conduction problems.

关键词： Heat conduction Fuzzy uncertainties Finitedifference method Parameter perturbation Stability analysis

Interval finite difference method for steady-state temperature field prediction with interval parameters

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Acta Mechanica Sinica 2014年第2期30卷 161-166页

作者： Chong Wang zhi-ping Qiu Institute of Solid Mechanics Beihang University

A new numerical technique named interval finite difference method is proposed for the steady-state temperature field prediction with uncertainties in both physical parameters and boundary conditions. Interval variables are used to quantitatively describe the uncertain parameters with limited information. Based on different Taylor and Neumann series, two kinds of parameter perturbation methods are presented to approximately yield the ranges of the uncertain temperature field. By comparing the results with traditional Monte Carlo simulation, a numerical example is given to demonstrate the feasibility and effectiveness of the proposed method for solving steady-state heat conduction problem with uncertain-but-bounded parameters.

关键词： Steady-state heat conduction Interval finite dif-ference Temperature field prediction Parameter perturba-tion method Interval uncertainties

Fatigue reliability based on residual strength model with hybrid uncertain parameters

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Acta Mechanica Sinica 2012年第1期28卷 112-117页

作者： Jun Wang zhi-ping Qiu Institute of Solid Mechanics Beihang University100191 BeijingChina

The aim of this paper is to evaluate the fatigue reliability with hybrid uncertain parameters based on a residual strength model. By solving the non-probabilistic setbased reliability problem and analyzing the reliability with randomness, the fatigue reliability with hybrid parameters can be obtained. The presented hybrid model can adequately consider all uncertainties affecting the fatigue reliability with hybrid uncertain parameters. A comparison among the presented hybrid model, non-probabilistic set-theoretic model and the conventional random model is made through two typical numerical examples. The results show that the presented hybrid model, which can ensure structural security, is effective and practical.

关键词： Fatigue reliability Residual strength Ran- dom model Non-probabilistic set-theoretic model Hybrid model