Search Results - "Duan, Chenguang"

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    TiO2 nanoparticles anchoring on two-dimensional Bi2Se3 nanosheet as an enhanced visible light catalyst by Guo, Chengbin, Hu, Rong, Qiao, Hui, Duan, Chenguang, Qi, Xiang

    “…Titanium dioxide (TiO 2 ) has been widely studied in the field of photocatalysis. However, the development of TiO 2 was limited by the photoresponse only in…”
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    Journal Article
  3. 3

    Two-dimensional Bi nanosheets as an enhanced electrocatalyst for hydrogen evolution reaction by Duan, Chenguang, Liu, Huating, Huang, Zongyu, Qiao, Hui, Zhou, Yang, Liao, Gengcheng, Liu, Yundan, Qi, Xiang

    Published in Journal of sol-gel science and technology (01-07-2021)
    “…Electrocatalytic hydrogen evolution is an exercisable way to achieve large-scale application of hydrogen energy. It is of great significance to develop an…”
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  4. 4

    Photo-assisted electrocatalysis of black phosphorus quantum dots/molybdenum disulfide heterostructure for oxygen evolution reaction by Ma, Qian, Qiao, Hui, Huang, Zongyu, Liu, Fei, Duan, Chenguang, Zhou, Yang, Liao, Gengcheng, Qi, Xiang

    Published in Applied surface science (01-10-2021)
    “…We successfully prepared BP QDs and MoS2 nanosheets by liquid phase exfoliation and constructed mixed-dimensional MoS2-BP QDs heterojunctions. From the results…”
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  5. 5

    FePS3 Nanosheet-Based Photoelectrochemical-Type Photodetector with Superior Flexibility by Duan, Chenguang, Huang, Zongyu, Qiao, Hui, Ma, Qian, Zhou, Yang, Teng, Jianjin, Qi, Xiang

    Published in Journal of physical chemistry. C (06-05-2021)
    “…Metal phosphorus trichalcogenides, as a novel class of two-dimensional (2D) materials, attracted a lot of attention due to its antiferromagnetic ordering,…”
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  6. 6

    Current density impedance imaging with PINNs by Duan, Chenguang, Huang, Junjun, Jiao, Yuling, Lu, Xiliang, Yang, Jerry Zhijian

    “…In this paper, we introduce CDII-PINNs, a computationally efficient method for solving CDII using PINNs in the framework of Tikhonov regularization. This…”
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    Flexible self-powered photoelectrochemical-type photodetector based on 2D WS2-graphene heterojunction by Ren, Xiaohui, Wang, Bo, Huang, Zongyu, Qiao, Hui, Duan, Chenguang, Zhou, Yang, Zhong, Jianxin, Wang, Ziyu, Qi, Xiang

    Published in FlatChem (01-01-2021)
    “…In this paper, we use solid electrolyte as electrons transferring medium, the photodetector presents excellent self-powered capability. Under the condition of…”
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    Journal Article
  9. 9

    Semi-Supervised Deep Sobolev Regression: Estimation, Variable Selection and Beyond by Ding, Zhao, Duan, Chenguang, Jiao, Yuling, Yang, Jerry Zhijian

    Published 09-01-2024
    “…We propose SDORE, a semi-supervised deep Sobolev regressor, for the nonparametric estimation of the underlying regression function and its gradient. SDORE…”
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  10. 10

    Current density impedance imaging with PINNs by Duan, Chenguang, Jiao, Yuling, Lu, Xiliang, Yang, Jerry Zhijian

    Published 24-06-2023
    “…In this paper, we introduce CDII-PINNs, a computationally efficient method for solving CDII using PINNs in the framework of Tikhonov regularization. This…”
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    Journal Article
  11. 11

    Unsupervised Transfer Learning via Adversarial Contrastive Training by Duan, Chenguang, Jiao, Yuling, Lin, Huazhen, Ma, Wensen, Yang, Jerry Zhijian

    Published 16-08-2024
    “…Learning a data representation for downstream supervised learning tasks under unlabeled scenario is both critical and challenging. In this paper, we propose a…”
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  12. 12

    Characteristic Learning for Provable One Step Generation by Ding, Zhao, Duan, Chenguang, Jiao, Yuling, Li, Ruoxuan, Yang, Jerry Zhijian, Zhang, Pingwen

    Published 08-05-2024
    “…We propose the characteristic generator, a novel one-step generative model that combines the efficiency of sampling in Generative Adversarial Networks (GANs)…”
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  13. 13

    Deep Neural Network Approximation of Composition Functions: with application to PINNs by Duan, Chenguang, Jiao, Yuling, Lu, Xiliang, Yang, Jerry Zhijian, Yuan, Cheng

    Published 16-04-2023
    “…In this paper, we focus on approximating a natural class of functions that are compositions of smooth functions. Unlike the low-dimensional support assumption…”
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  14. 14

    Convergence Rate Analysis for Deep Ritz Method by Duan, Chenguang, Jiao, Yuling, Lai, Yanming, Lu, Xiliang, Yang, Zhijian

    Published 29-03-2021
    “…Using deep neural networks to solve PDEs has attracted a lot of attentions recently. However, why the deep learning method works is falling far behind its…”
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    Analysis of Deep Ritz Methods for Laplace Equations with Dirichlet Boundary Conditions by Duan, Chenguang, Jiao, Yuling, Lai, Yanming, Lu, Xiliang, Quan, Qimeng, Yang, Jerry Zhijian

    Published 03-11-2021
    “…Deep Ritz methods (DRM) have been proven numerically to be efficient in solving partial differential equations. In this paper, we present a convergence rate in…”
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