Yangguang Hu

University of Science and Technology of China

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Chao Gao

Collaborative Innovation Center of Chemistry for Energy Materials

Yujie Xiong

Collaborative Innovation Center of Chemistry for Energy Materials

Ran Long

National Synchrotron Radiation Laboratory

Benxia Li

Zhejiang Sci-Tech University

Jun Ma

National Synchrotron Radiation Laboratory

Wanbing Gong

National Synchrotron Radiation Laboratory

Guangyu Liu

University of Science and Technology of China

Mingqing Xiao

Air Force Engineering University

Yiyin Huang

Fujian Normal University

Aobo Chen

Collaborative Innovation Center of Chemistry for Energy Materials

Cooperative Institutions

University of Science and Technology of China

Chinese Academy of Sciences

Collaborative Innovation Center of Chemistry for Energy Materials

National Synchrotron Radiation Laboratory

Hefei National Center for Physical Sciences at Nanoscale

Northwestern Polytechnical University

Anhui Agricultural University

Beijing Institute of Technology

Shanghai Jiao Tong University

University of Chinese Academy of Sciences

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Anchoring Positively Charged Pd Single Atoms in Ordered Porous Ceria to Boost Catalytic Activity and Stability in Suzuki Coupling Reactions

Small (2020)

Xueqin Tao Ran Long Di Wu Yangguang Hu Ganhua Qiu

Abstract Single‐atom (SA) catalysis bridging homogeneous and heterogeneous catalysis offers new opportunities for organic synthesis, but developing SA catalysts with high activity and stability is still a great challenge. Herein, a heterogeneous catalyst of Pd SAs anchored in 3D ordered macroporous ceria (Pd‐SAs/3DOM‐CeO 2 ) is developed through a facile template‐assisted pyrolysis method. The high specific surface area of 3DOM CeO 2 facilitates the heavily anchoring of Pd SAs, while the introduction of Pd atoms induces the generation of surface oxygen vacancies and prevents the grain growth of CeO 2 support. The Pd‐SAs/3DOM‐CeO 2 catalyst exhibits excellent activity toward Suzuki coupling reactions for a broad scope of substrates under ambient conditions, and the Pd SAs can be stabilized in CeO 2 in long‐term catalytic cycles without leaching or aggregating. Theoretical calculations indicate that the CeO 2 supported Pd SAs can remarkably reduce the energy barriers of both transmetalation and reductive elimination steps for Suzuki coupling reactions. The strong metal‐support interaction contributes to modulating the electronic state and maintaining the stability of Pd SA sites. This work demonstrates an effective strategy to design and synthesize stable single‐atom catalysts as well as sheds new light on the origin for enhanced catalysis based on the strong metal‐support interactions.

Anchoring

10.1002/smll.202001782

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Citations (75)

Aerial infrared target tracking in severe jamming using skeletal tracking technology

Infrared Physics & Technology (2020)

Yangguang Hu Mingqing Xiao Kai Zhang Kong Qing-chun Guoxi Han

Tracking (education)

BitTorrent tracker

Position (finance)

10.1016/j.infrared.2020.103545

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Citations (5)

Altering Hydrogenation Pathways in Photocatalytic Nitrogen Fixation by Tuning Local Electronic Structure of Oxygen Vacancy with Dopant

Angewandte Chemie International Edition (2021)

Yanan Bo Haiyun Wang Yunxiang Lin Tian Yang Run Ye

Abstract To avoid the energy‐consuming step of direct N≡N bond cleavage, photocatalytic N 2 fixation undergoing the associative pathways has been developed for mild‐condition operation. However, it is a fundamental yet challenging task to gain comprehensive understanding on how the associative pathways (i.e., alternating vs. distal) are influenced and altered by the fine structure of catalysts, which eventually holds the key to significantly promote the practical implementation. Herein, we introduce Fe dopants into TiO 2 nanofibers to stabilize oxygen vacancies and simultaneously tune their local electronic structure. The combination of in situ characterizations with first‐principles simulations reveals that the modulation of local electronic structure by Fe dopants turns the hydrogenation of N 2 from associative alternating pathway to associative distal pathway. This work provides fresh hints for rationally controlling the reaction pathways toward efficient photocatalytic nitrogen fixation.

10.1002/anie.202104001

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Citations (211)

Hierarchical Fe-based electrocatalyst for lattice oxygen mediated water oxidation with Industrial-Level activity

Journal of Colloid and Interface Science (2025)

Rui Yang Hao Fu Zimin Han Guoqing Feng Huaizhi Liu

Oxygen evolution

Lattice (music)

10.1016/j.jcis.2025.01.210

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Citations (0)

Preparation and characterization of long chain branched polycarbonates with significantly enhanced environmental stress cracking behavior through gamma radiation with addition of difunctional monomer

Polymer Chemistry (2016)

Xiaohang Han Yangguang Hu Miao Tang Huagao Fang Qianghua Wu

A series of long chain branched polycarbonates (LCB-PCs) was prepared with unique topological structures and significantly enhanced ESC properties.

Chain (unit)

Characterization

10.1039/c6py00289g

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Citations (15)

Boosting Photocatalytic CO₂ Reduction on CsPbBr₃ Perovskite Nanocrystals by Immobilizing Metal Complexes

Chemistry of Materials (2020)

Zhoujie Chen Yangguang Hu Jin Wang Qing Shen Yaohong Zhang

Converting CO2 into chemical fuels with a photocatalyst and sunlight is an appealing approach to address climate deterioration and energy crisis. Metal complexes are superb candidates for CO2 reduction due to their tunable catalytic sites with high activity. The coupling of metal complexes with organic photosensitizers is regarded as a common strategy for establishing photocatalytic systems for visible-light-driven CO2 reduction. While most of the organic photosensitizers generally contain precious metals and are available through onerous synthetic routes, their large-scale application in the photocatalysis is limited. Halide perovskite nanocrystals (NCs) have been considered as one of the most promising light-harvesting materials to replace the organic photosensitizers due to their tunable light absorption range, low cost, abundant surface sites, and high molar extinction coefficient. Herein, we demonstrate a facile strategy to immobilize [Ni(terpy)2]2+ (Ni(tpy)) on inorganic ligand-capped CsPbBr3 NCs and to apply this hybrid as a catalyst for visible-light-driven CO2 reduction. In this hybrid photocatalytic system, the Ni(tpy) can provide specific catalytic sites and serve as electron sinks to suppress electron–hole recombination in the CsPbBr3 NCs. The CsPbBr3-Ni(tpy) catalytic system achieves a high yield (1724 μmol/g) in the reduction of CO2 to CO/CH4, which is approximately 26-fold higher than that achieved with the pristine CsPbBr3 NCs. This work has developed a method for enhancing the performance of photocatalytic CO2 reduction by immobilizing metal complexes on perovskite NCs. The methodology we present here provides a new platform for utilizing halide perovskite NCs for photocatalytic applications.

Metal halides

10.1021/acs.chemmater.9b04582

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Citations (232)

Aerial Infrared Target Tracking in Complex Background Based on Combined Tracking and Detecting

Mathematical Problems in Engineering (2019)

Yangguang Hu Mingqing Xiao Kai Zhang Xiaotian Wang

Aerial infrared target tracking is the basis of many weapon systems, especially the air‐to‐air missile. Till now, it is still challenging research to track the aircraft in the event of complex background. In this paper, we focus on developing an algorithm that could track the aircraft fast and accurately based on infrared image sequence. We proposed a framework composed of a tracker T based on correlation filter and a detector D based on deep learning, which we call combined tracking and detecting (CTAD). With such collaboration, the algorithm enjoys both the high efficiency provided by correlation filter and the strong discriminative power provided by deep learning. Finally, we performed experiments on three representative infrared image sequences and two sequences from VOT‐TIR2016 dataset to quantitatively evaluate the performance of our algorithm. To evaluate our algorithm scientifically, we present the experiments performed on two sequences from AMCOM FLIR dataset of the proposed algorithm. The experimental results demonstrate that our algorithm could track the infrared target reliably, which shows comparable performance with the deep tracker, while running at a fast speed of about 18.1 fps.

Discriminative model

Tracking (education)

10.1155/2019/2419579

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Citations (16)

Solar-driven sugar production directly from CO2 via a customizable electrocatalytic–biocatalytic flow system

Nature Communications (2024)

Guangyu Liu Yuan Zhong Zehua Liu Gang Wang Feng Gao

Abstract Conventional food production is restricted by energy conversion efficiency of natural photosynthesis and demand for natural resources. Solar-driven artificial food synthesis from CO 2 provides an intriguing approach to overcome the limitations of natural photosynthesis while promoting carbon-neutral economy, however, it remains very challenging. Here, we report the design of a hybrid electrocatalytic−biocatalytic flow system, coupling photovoltaics-powered electrocatalysis (CO 2 to formate) with five-enzyme cascade platform (formate to sugar) engineered via genetic mutation and bioinformatics, which achieves conversion of CO 2 to C 6 sugar (L-sorbose) with a solar-to-food energy conversion efficiency of 3.5%, outperforming natural photosynthesis by over three-fold. This flow system can in principle be programmed by coupling with diverse enzymes toward production of multifarious food from CO 2 . This work opens a promising avenue for artificial food synthesis from CO 2 under confined environments.

10.1038/s41467-024-46954-w

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Citations (12)

Promoting CO2 and H2O activation on O-vacancy regulated In-Ti dual-sites for enhanced CH4 photo-production

Journal of Energy Chemistry (2023)

Cong Chen Liang Chen Yangguang Hu Ke Yan Ting Wang

10.1016/j.jechem.2023.07.020

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Citations (30)

Research on Remaining Useful Life Prognostics Based on Fuzzy Evaluation-Gaussian Process Regression Method

IEEE Access (2020)

Weijie Kang Jiyang Xiao Mingqing Xiao Yangguang Hu Haizhen Zhu

To achieve efficient and accurate remaining life prediction and effectively express the uncertainty of prediction results, this paper proposes a remaining life prediction method based on fuzzy evaluation-Gaussian process regression (FE-GPR). First, the prediction of the remaining useful life (RUL) is affected by unknown variables, such as the environment, and it is difficult to achieve accurate predictions. It is necessary to effectively express the uncertainty of such prediction results. In this paper, we have put forward a RUL prediction method based on GPR, which can realize the RUL prediction with a confidence interval. Second, combined with the characteristics of the GPR method, an observation data preprocessing method based on fuzzy evaluation is proposed. The initial fuzzy evaluation method is established based on expert knowledge. Then, the classification nodes are optimized by the gravitational search algorithm (GSA) and historical data. This method, which uses fuzzy logic combined with expert knowledge, can avoid over-fitting in the case of limited data, and effectively improves the prediction accuracy of the GPR model. Finally, we use NASA PCoE. lithium battery data for a case study. The results show that the FE-GPR method achieves a more accurate RUL prediction and effectively reflects the uncertainty of the prediction results.

Prognostics

Ground-Penetrating Radar

Data pre-processing

10.1109/access.2020.2982223

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Citations (30)