Wenchuan Wang

North China University of Water Resources and Electric Power

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Dapeng Cao

Qingdao University of Science and Technology

Xianren Zhang

Beijing University of Chemical Technology

Kwok‐wing Chau

Hong Kong Polytechnic University

Dongmei Xu

Nanjing University of Information Science and Technology

Shiping Huang

Shenzhen University

Hong-fei Zang

North China University of Water Resources and Electric Power

Daojian Cheng

Beijing University of Chemical Technology

Jian‐Hui Lan

Chinese Academy of Sciences

Changjun Liu

China Institute of Water Resources and Hydropower Research

Zhiping Liu

Soochow University

Cooperative Institutions

Chinese Academy of Sciences

North China University of Water Resources and Electric Power

Beijing University of Chemical Technology

Tsinghua University

University of Chinese Academy of Sciences

China Institute of Water Resources and Hydropower Research

Jilin University

Shanghai Jiao Tong University

Peking University

Taiwan Semiconductor Manufacturing Company (Taiwan)

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Comprehensive Comparison and Evaluation of the WS , MHV2 , Twu and CWSM Mixing Rules

화학공학의 이론과 응용 (1995)

Wenchuan Wang Yixin Qu

Source

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Citations (0)

Group contribution simplified hole theory equation of state for liquid polymers and solvents and their solutions

Fluid Phase Equilibria (1998)

Wenchuan Wang Xiangling Liu Chongli Zhong Chorng H. Twu John E. Coon

Group contribution method

Flory–Huggins solution theory

10.1016/s0378-3812(97)00241-0

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Citations (16)

Study on Forecasting and Alarming Model of Flash Flood Based on Machine Learning

Springer water (2022)

Wenchuan Wang Yanwei Zhao Changjun Liu Qiang Ma Dongmei Xu

Flash flood

Flood warning

Landform

10.1007/978-981-19-1600-7_29

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Citations (1)

Monthly Runoff Forecasting Using Variational Mode Decomposition Coupled with Gray Wolf Optimizer-Based Long Short-term Memory Neural Networks

Water Resources Management (2022)

Bao-Jian Li Guoliang Sun Yan Liu Wenchuan Wang Xudong Huang

Hyperparameter

10.1007/s11269-022-03133-0

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Citations (45)

Core–shell-structured bimetallic clusters and nanowires

Journal of Physics Condensed Matter (2007)

Daojian Cheng Wenchuan Wang Shiping Huang

We report the structures of Ag–Cu and Ag–Ni bimetallic clusters and nanowires (NWs), which are well known as effective Ag-based catalysts, by using an effective semi-grand-canonical ensemble Monte Carlo method. The metal–metal interactions are modeled by the second-moment approximation of the tight-binding potentials. The simulation results show that the Ag–Cu and Ag–Ni bimetallic nanomaterials, including clusters and NWs, possess core–shell structures at different compositions, in which the Ag atoms lie on the surface, while the Cu or Ni atoms occupy the cores of the clusters and NWs. It is found that the pentagonal multi-shell-type structure can be transformed into cylindrical multi-shell-type structures for Ag–Cu and Ag–Ni bimetallic NWs at 100, 300, and 500 K. On the other hand, with the increase of Ag mole fraction in the Ag–Cu and Ag–Ni bimetallic clusters, the Ag atoms occupy the surface shell first, then the interior shell, and finally the central sites of the clusters. It is also found that the initial shape, composition, and temperature have little effect on the core–shell structures of the bimetallic clusters and NWs. The formation of core–shell Ag–Cu and Ag–Ni bimetallic clusters and NWs is due to the fact that a single Ag impurity is favorable to be situated in the core of the Cu or Ni clusters and NWs.

Bimetallic strip

10.1088/0953-8984/19/35/356217

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Citations (11)

A Monte Carlo simulation on structure and thermodynamics of potassium nitrate electrolyte solution

Molecular Physics (2005)

Guiwu Lu Chunxi Li Wenchuan Wang Zihao Wang

Abstract Monte Carlo computer simulation of potassium nitrate solution is carried out in the concentration ranging from 0.3 to 7.0 mol l−1. The cation (K+) and solvent water molecules are regarded as the charged and dipolar hard sphere respectively, and a simple four-site model for the nitrate ion is adopted in this study. It is found that there is an abrupt decline in the pressure with increasing ion concentration at fixed temperature. In supersaturated solutions for temperatures of 303 and 333 K, a metastable state with negative pressures and a strong energy fluctuation are observed. Some large ionic clusters are observed in supersaturated solutions at a temperature of 333 K, and they are composed of an ionic chain with alternating sign which indicates the formation of crystallization morphology. With decreasing solution concentration, the ionic hydration number varies from 5–7 for cation K+ and 3.5–4.7 for anion NO , which is in good agreement with time-of-flight neutron diffraction results. Acknowledgement This work is supported by Natural Science Foundation of China (No. 20076001 and No. 20236010).

Supersaturation

Potassium nitrate

Metastability

10.1080/00268970410001683834

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Citations (8)

Square-well fluids in confined space with discretely attractive wall-fluid potentials: Critical point shift

Physical Review E (2006)

Xianren Zhang Wenchuan Wang

In this work the effects of the wall-fluid interaction on the critical point shift are studied by using a discrete and attractive wall-fluid interaction and density functional theory. In contrast to the previous assumption, it is found that the dependence of critical temperature shift on the wall-fluid interaction does not simply show a monotonic manner, but increases with the strength of the interaction for weak surfaces, then decreases for strong surfaces. The similar trend holds for the systems with different fluid-fluid interactions and different confined spaces. Unlike the capillary critical temperature, the critical density of square-well fluids in a confined space increases monotonically as the wall-fluid interaction becomes more attractive.

Critical point (mathematics)

Square (algebra)

Confined space

10.1103/physreve.74.062601

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Citations (28)

Computational Characterization of Hexagonally Ordered Carbon Nanopipes CMK-5 and Structural Optimization for H₂ Storage

Langmuir (2009)

Xuan Peng Dapeng Cao Wenchuan Wang

We performed grand canonical Monte Carlo (GCMC) simulations to characterize the hexagonally ordered carbon nanopipes CMK-5 and further investigated the adsorptive properties of this material for H2. The geometrical model from Solovyov et al. was used to characterize the hexagonal structure of the CMK-5 adsorbent. The interactions between a fluid molecule inside and outside the nanopipe and a single layer were calculated by the potential models proposed by Tjatjopoulos et al. and Gordon et al. When the calculated results were fitted to the experimental isotherm of N2 adsorption at 77 K, the structural parameters of the CMK-5-S material were obtained. To improve H2 adsorption, we also optimized the structural parameters of CMK-5 material. The maximum excess gravimetric and volumetric uptakes of H2 in the CMK-5 material with the optimized structural parameters at T = 77 K are 5.8 wt % and 41.27 kg/m3, which suggest that the CMK-5 material with an optimized structure is a promising adsorbent for gas adsorption.

Gravimetric analysis

Carbon fibers

Characterization

10.1021/la901440s

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Citations (28)

Adsorption and Morphology Transition of Surfactants on Hydrophobic Surfaces: A Lattice Monte Carlo Study

Langmuir (2006)

Fengxian Zheng Xianren Zhang Wenchuan Wang W. Dong

In this work, we first show that there are only five independent interchange parameters in the surfactant-solvent-interface system in Larson's model, and then adsorption and morphology transition of surfactants on hydrophobic surfaces are studied by extensive lattice Monte Carlo simulations. In our simulations, we found that there exist six adsorbed morphologies: (1) premature admicelle, (2) hemisphere, (3) hemisphere-hemicylinder mixture, (4) wormlike hemicylinder, (5) perforated monolayer, and (6) monolayer. The surface morphologies and the amount of adsorption on hydrophobic surfaces are found to be affected obviously by two interchange parameters. One is the attractive interaction between tail groups and surface (chiTS), and the other is the solubility of head groups in bulk (chiHW). Phase diagrams in chiHW versus chiTS planes for surfactants with different hydrophobicities (chiTW) and for surfactants with different molecular structures are determined in this work, from which the transitions of surface morphologies and adsorption behaviors are discussed.

10.1021/la0622424

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Citations (27)

A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series

Journal of Hydrology (2009)

Wenchuan Wang Kwok‐wing Chau Chuntian Cheng Lin Qiu

Autoregressive–moving-average model

10.1016/j.jhydrol.2009.06.019

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Citations (797)