Search Results - "Zhang, Jiangjiang"

Surface chemistry of gold nanoparticles for health-related applications by Zhang, Jiangjiang, Mou, Lei, Jiang, Xingyu

“…Functionalization of gold nanoparticles is crucial for the effective utilization of these materials in health-related applications. Health-related applications…”
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Hybrid many-objective particle swarm optimization algorithm for green coal production problem by Cui, Zhihua, Zhang, Jiangjiang, Wu, Di, Cai, Xingjuan, Wang, Hui, Zhang, Wensheng, Chen, Jinjun

“…The key aspect in coal production is realizing safe and efficient mining to maximize the utilization of the resources. A requirement for sustainable economic…”
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An adaptive Gaussian process‐based method for efficient Bayesian experimental design in groundwater contaminant source identification problems by Zhang, Jiangjiang, Li, Weixuan, Zeng, Lingzao, Wu, Laosheng

“…Surrogate models are commonly used in Bayesian approaches such as Markov Chain Monte Carlo (MCMC) to avoid repetitive CPU‐demanding model evaluations. However,…”
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An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions by Zhang, Jiangjiang, Lin, Guang, Li, Weixuan, Wu, Laosheng, Zeng, Lingzao

“…Ensemble smoother (ES) has been widely used in inverse modeling of hydrologic systems. However, for problems where the distribution of model parameters is…”
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Ag+‐Gated Surface Chemistry of Gold Nanoparticles and Colorimetric Detection of Acetylcholinesterase by Zhang, Jiangjiang, Zheng, Wenshu, Jiang, Xingyu

“…Chemical regulation of enzyme‐mimic activity of nanomaterials is challenging because it requires a precise understanding of the surface chemistry and…”
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Using Deep Learning to Improve Ensemble Smoother: Applications to Subsurface Characterization by Zhang, Jiangjiang, Zheng, Qiang, Wu, Laosheng, Zeng, Lingzao

“…Ensemble smoother (ES) has been widely used in various research fields to reduce the uncertainty of the system‐of‐interest. However, the commonly adopted ES…”
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Improving Simulation Efficiency of MCMC for Inverse Modeling of Hydrologic Systems With a Kalman‐Inspired Proposal Distribution by Zhang, Jiangjiang, Vrugt, Jasper A., Shi, Xiaoqing, Lin, Guang, Wu, Laosheng, Zeng, Lingzao

“…Bayesian analysis is widely used in science and engineering for real‐time forecasting, decision making, and to help unravel the processes that explain the…”
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Inverse Modeling of Hydrologic Systems with Adaptive Multifidelity Markov Chain Monte Carlo Simulations by Zhang, Jiangjiang, Man, Jun, Lin, Guang, Wu, Laosheng, Zeng, Lingzao

“…Markov chain Monte Carlo (MCMC) simulation methods are widely used to assess parametric uncertainties of hydrologic models conditioned on measurements of…”
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Surrogate‐Based Bayesian Inverse Modeling of the Hydrological System: An Adaptive Approach Considering Surrogate Approximation Error by Zhang, Jiangjiang, Zheng, Qiang, Chen, Dingjiang, Wu, Laosheng, Zeng, Lingzao

“…Bayesian inverse modeling is important for a better understanding of hydrological processes. However, this approach can be computationally demanding, as it…”
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Efficient Bayesian experimental design for contaminant source identification by Zhang, Jiangjiang, Zeng, Lingzao, Chen, Cheng, Chen, Dingjiang, Wu, Laosheng

“…In this study, an efficient full Bayesian approach is developed for the optimal sampling well location design and source parameters identification of…”
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An adaptive Gaussian process-based iterative ensemble smoother for data assimilation by Ju, Lei, Zhang, Jiangjiang, Meng, Long, Wu, Laosheng, Zeng, Lingzao

“…•The Gaussian process is combined with the iterative ensemble smoother for data assimilation.•An adaptive scheme is proposed to refine the Gaussian process…”
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Exploring the Performance of Ensemble Smoothers to Calibrate Urban Drainage Models by Huang, Yuan, Zhang, Jiangjiang, Zheng, Feifei, Jia, Yueyi, Kapelan, Zoran, Savic, Dragan

“…Urban drainage models (UDMs) are often used to manage urban flooding. However, these models generally involve many parameters to represent the underlying…”
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A Novel Deep Learning Approach for Data Assimilation of Complex Hydrological Systems by Zhang, Jiangjiang, Cao, Chenglong, Nan, Tongchao, Ju, Lei, Zhou, Hongxiang, Zeng, Lingzao

“…In hydrological research, data assimilation (DA) is widely used to fuse the information contained in process‐based models and observational data to reduce…”
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A multi-medium chain modeling approach to estimate the cumulative effects of cadmium pollution on human health by Liu, Xingmei, Zhong, Libin, Meng, Jun, Wang, Fan, Zhang, Jiangjiang, Zhi, Yuyou, Zeng, Lingzao, Tang, Xianjin, Xu, Jianming

“…Cadmium is a highly persistent and toxic heavy metal that poses severe health risks to humans. Diet is the primary source of human exposure to cadmium,…”
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Efficient evaluation of small failure probability in high‐dimensional groundwater contaminant transport modeling via a two‐stage Monte Carlo method by Zhang, Jiangjiang, Li, Weixuan, Lin, Guang, Zeng, Lingzao, Wu, Laosheng

“…In decision‐making for groundwater management and contamination remediation, it is important to accurately evaluate the probability of the occurrence of a…”
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Effective Characterization of Fractured Media With PEDL: A Deep Learning‐Based Data Assimilation Approach by Nan, Tongchao, Zhang, Jiangjiang, Xie, Yifan, Cao, Chenglong, Wu, Jichun, Lu, Chunhui

“…Geological formations with fractures are frequently encountered in various research fields. Accurately characterizing these fractured media is of paramount…”
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A Deep Learning‐Based Data Assimilation Approach to Characterizing Coastal Aquifers Amid Non‐Linearity and Non‐Gaussianity Challenges by Cao, Chenglong, Zhang, Jiangjiang, Gan, Wei, Nan, Tongchao, Lu, Chunhui

“…Seawater intrusion (SI) poses a substantial threat to water security in coastal regions, where numerical models play a pivotal role in supporting groundwater…”
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Adaptive Multifidelity Data Assimilation for Nonlinear Subsurface Flow Problems by Zheng, Qiang, Zhang, Jiangjiang, Xu, Wenjie, Wu, Laosheng, Zeng, Lingzao

“…Ensemble‐based methods have been widely used for characterization of model parameters. Due to their Monte Carlo nature, these methods can be easily implemented…”
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Water flux characterization through hydraulic head and temperature data assimilation: Numerical modeling and sandbox experiments by Ju, Lei, Zhang, Jiangjiang, Chen, Cheng, Wu, Laosheng, Zeng, Lingzao

“…•IES was employed to estimate 2-D heterogeneous flux fields.•Sandbox experiments were implemented to verify the results of numerical modeling.•Utilities of…”
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Study on the influence of roughness and coarse aggregate area on UHPC-NC interface bonding performance by Sun, Wen, Zhang, Jiangjiang, Yang, Shenqi, Chen, Xiaolong, Wu, Jing, Wu, Qiong, Yang, Yanhua

“…The aim of this study is to clarify the effect of roughening the surface of normal concrete (NC) substrates on the interfacial bonding performance, and the…”
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