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4th International Conference on Power and Energy technology, ICPET 2022

作者： Liu, Haijun Li, Weiguo Mu, Xiaobin Xu, Yunfei Qiao, Guangyao Zhao, Zhengkui Zhang, Xiaoyu Wang, Xuan State Grid Smart Grid Research Institute Co. Ltd State Key Laboratory of Advanced Power Transmission Technology Beijing China C-EPRI Electric Power Engineering Co. Ltd Beijing China

ISBN: (数字)9781665480796

ISBN: (纸本)9781665480796

As a flexible, zero-carbon, high-density energy carrier, hydrogen energy plays an important role in achieving carbon neutrality goals as medium or long-term high-power energy storage. Wind power and photovoltaic power (PV) generation integrated hydrogen storage equipment convert and utilize energy as fuel cells, it can alleviate PV and wind power curtailment condition effectively, which will reduce carbon emissions. Hydrogen production converter has decisive influence on of hydrogen production efficiency from water electrolysis. This paper present key parameter design method based on typical hydrogen production converter topology, in addition transformer leakage inductance and port capacitance in the topology circuit and their influence on the output ripple of the converter is studied combined with the simulation and prototype experimental results. Output ripple and loss analysis is also carried out to verify its performance. © 2022 IEEE.

关键词： Hydrogen production

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Single copper sites dispersed on hierarchically porous carbon for improving oxygen reduction reaction towards zinc-air battery

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Nano Research 2021年第4期14卷 998-1003页

作者： Wenjie Wu Yan Liu Dong Liu Wenxing Chen Zhaoyi Song Ximin Wang Yamin Zheng Ning Lu Chunxia Wang Junjie Mao Yadong Li State Key Laboratory of Heavy Oil Processing College of New Energy and MaterialsChina University of PetroleumBeijing 102249China Key Laboratory of Functional Molecular Solids Ministry of EducationAnhui Province Key Laboratory of Optoelectric Materials Science and Technology and Anhui Laboratory of Molecule-Based MaterialsAnhui Normal UniversityWuhu 241002China State key Lab of Organic-Inorganic Composites Beijing University of Chemical TechnologyBeijing 100029China Beijing Key Laboratory of Construction Tailorable Advanced Functional Materials and Green Applications School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China Department of Chemistry Tsinghua UniversityBeijing 100084China

The demand for high-performance non-precious-metal electrocatalysts to replace the noble metal-based catalysts for oxygen reduction reaction(ORR)is intensively ***,single-atomic copper sites supported on N-doped three-dimensional hierarchically porous carbon catalyst(Cu_(1)/NC)was prepared by coordination pyrolysis ***,the Cu_(1)/NC-900 catalyst not only exhibits excellent ORR performance with a half-wave potential of 0.894 V(***)in alkaline media,outperforming those of commercial Pt/C(0.851 V)and Cu nanoparticles anchored on N-doped porous carbon(CuNPs/NC-900),but also demonstrates high stability and methanol ***,the Cu_(1)/NC-900 based Zn-air battery exhibits higher power density,rechargeability and cyclic stability than the one based on Pt/*** experimental and theoretical investigations demonstrated that the excellent performance of the as-obtained Cu_(1)/NC-900 could be attributed to the synergistic effect between copper coordinated by three N atoms active sites and the neighbouring carbon defect,resulting in elevated Cu d-band centers of Cu atoms and facilitating intermediate desorption for ORR *** study may lead towards the development of highly efficient non-noble metal catalysts for applications in electrochemical energy conversion.

关键词： single atomic sites catalysts nitrogen-doped carbon materials oxygen reduction reaction carbon defect non-noble metal

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Disparity in Leaching Behavior of Representative Copper Sulfide Minerals with Dilute H2so4 and the Underlying Microscopic Mechanism

SSRN

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SSRN 2024年

作者： Du, Yuhang Wang, Ling Zhang, Wenjuan Chen, Yongqiang Ma, Baozhong Wang, Chengyan State Key Laboratory of Advanced Metallurgy University of Science and Technology Beijing Beijing100083 China School of Metallurgical and Ecological Engineering University of Science and Technology Beijing Beijing100083 China

Leaching experiments, X-ray photoelectron spectroscopy (XPS) analysis, and density functional theory (DFT) calculations were carried out to compare the passivation and microscopic leaching mechanism of three representative copper sulfide minerals in dilute H2SO4, namely chalcocite (Cu+2S2-), covellite (Cu+2Cu2+[S2]2-S2-), and chalcopyrite (Cu2+Fe2+S2-2). Under the respective optimal leaching conditions, the Cu leaching efficiencies of these minerals were 12%, 8%, and 3%, respectively. The XPS results indicated that the passivation film on chalcocite surface was composed of polysulfide, sulfate, and elemental sulfur. On the covellite surface, polysulfides were dominant in the passivation film, followed by elemental sulfur. On the chalcopyrite surface, the passivation film mainly consisted of elemental sulfur, plus some polysulfides. DFT calculations revealed that the Cu sites of Cu-terminated surface on chalcocite, Cu sites of S-terminated surface on covellite, and S sites of S-terminated surface on chalcopyrite exhibit the highest activity for hydrogen adsorption, with the adsorption energies of -4.35, -5.13, and -5.25 kJ/mol, respectively. After hydrogen atoms adsorbed on the mineral surface, elemental sulfur was formed in three steps on chalcocite (Cu2S → CuS(ads) → [Sn]2-(ads) → S0(ads)), two steps on covellite, and one step on chalcopyrite. Additionally, ferric ions on the chalcopyrite surface display a higher affinity for oxygen than that of the cupric ions, thereby accelerating the formation of elemental sulfur and inhibiting copper dissolution. © 2024, The Authors. All rights reserved.

关键词： Density functional theory

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Fine Tune or not? Evaluation of Transfer Methods for Power System Transient Stability Analysis

Fine Tune or not? Evaluation of Transfer Methods for Power S...

引用

International Conference on Power System technology (POWERCON)

作者： Zhouping Li Wei Yao Yanhao Huang Zhongtuo Shi Yong Tang Jinyu Wen State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781665407380

Many methods based on deep learning (DL) have been developed to handle the power system stability analysis problem with satisfactory results. A well-trained DL model on the source domain may encounter the performance reduction problem when applied to a target domain of different distributions. Thus, transfer learning is needed to transfer knowledge learned from the source domain to the target domain which can reduce the cost of collecting more data and labels. As a commonly used scheme, fine-tuning is thought to be able to share the ability to extract high-level features to the target model by reusing the parameters of the pretrained model. Several fine-tune schemes are compared to evaluate the benefits brought by fine-tuning. The results show that freezing the layers of the DL model may restrict the tuning process in terms of convergence speed and test accuracy. A simple but effective mixed dataset training scheme is demonstrated to work better than fine-tune schemes.

关键词： Training Deep learning Analytical models Simulation Transfer learning Power system stability Feature extraction

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Small Object Detection Network Based on Attention Mechanism and Feature Fusion

SSRN

引用

SSRN 2024年

作者： Wang, Yi Huang, Xiaxu Xie, Guoliang Yuan, Jichen School of Mechanical Engineering University of Science and Technology Beijing Beijing100083 China State Key Laboratory for Advanced Metals and Materials University of Science and Technology Beijing Beijing100083 China

Small object detection is one of the key challenges in the field of object detection. Despite the great progress of generalized object detection models, it is still challenging to solve the problems of inaccuracy of small object detection and low accuracy of bounding box localization. In this paper, we propose the small object detection network, named SO-YOLOX, which consists of Channel-Space Hybrid Attention Module (CSHAM), Small Object Feature Fusion Module (SOFFM), and Generalized Intersection over Union (GIOU) loss. They correspond to the improvement of small object detection from three aspects: attention mechanism, feature fusion and loss function, respectively. CSHAM filters the important information from the channel and spatial dimensions. SOFFM uses high-level semantics to guide low-level features for feature fusion to enhance the small object features. GIOU loss is used to compute the difference between the predicted box and the ground truth box, which helps SO-YOLOX network to improve the localization accuracy of the bounding box. The experimental results show that our improvement strategy is effective. Compared with the original YOLOX network, the SO-YOLOX network improves the Average Precision (AP), AP50, and AP75 by 1.51%, 2.37%, and 1.50% on the VisDrone2019 dataset, respectively. © 2024, The Authors. All rights reserved.

关键词： Object detection

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A Platinum Complex-Based Dimerized Electron Acceptor for Efficient Organic Solar Cells

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advanced Energy Materials 2025年第22期15卷

作者： Cheng, Yang Jiang, Dongcheng Xiao, Chengyi Li, Mengdi Lin, Yi Zhao, Chaowei Tang, Zheng Yin, Hang Li, Weiwei Beijing Advanced Innovation Center for Soft Matter Science and Engineering & State Key Laboratory of Organic-Inorganic Composites Beijing University of Chemical Technology Beijing100029 China School of Physics State Key Laboratory of Crystal Materials Shandong University Jinan250100 China Institute of Applied Chemistry Jiangxi Academy of Sciences Nanchang330096 China State Key Laboratory for Medication of Chemical Fibers and Polymer Materials Center for Advanced Low-dimension Materials College of Materials Science and Engineering Donghua University Shanghai201620 China

Metal–organic complexes have demonstrated excellent performance in organic light-emitting diodes, yet their potential in organic solar cells (OSCs) remains underexplored. In this study, a novel metal–organic complex, Pt-Y, which features a platinum core connected to Y-acceptor arms, for application in OSCs is designed and synthesized. The dimerized Pt-Y acceptor is prepared through straightforward reactions, with the key precursor linking the platinum metal and Y-acceptors synthesized through Sonogashira coupling. Steady-state and transient photoluminescence measurements revealed that Pt-Y exhibits distinct singlet and triplet states with microsecond lifetimes—significantly longer than the nanosecond lifetimes of Y-acceptors without the metal. Incorporating Pt-Y as a third component in ternary OSCs has resulted in a remarkable efficiency of 19.2%. Further morphological analysis and transient absorption measurements indicate that the dimerized Pt-Y displays excellent miscibility with the Y-acceptor, leading to minimal phase separation and the formation of fibrillar structures. These structures enhance charge separation and transport while reducing charge recombination. This work presents a facile approach to developing metal–organic complexes with exceptional photovoltaic performance in OSCs. © 2025 Wiley-VCH GmbH.

关键词： Organic light emitting diodes (OLED)

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SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints

arXiv

引用

arXiv 2024年

作者： Sheng, Ziqi Lu, Wei Luo, Xiangyang Zhou, Jiantao Cao, Xiaochun School of Computer Science and Engineering MoE Key Laboratory of Information Technology Guangdong Province Key Laboratory of Information Security Technology Sun Yat-sen University China State Key Laboratory of Mathematical Engineering and Advanced Computing China State Key Laboratory of Internet of Things for Smart City Department of Computer and Information Science University of Macau China School of Cyber Science and Technology Sun Yat-sen University Shenzhen Campus China

Image forgery localization (IFL) is a crucial technique for preventing tampered image misuse and protecting social safety. However, due to the rapid development of image tampering technologies, extracting more comprehensive and accurate forgery clues remains an urgent challenge. To address these challenges, we introduce a novel information-theoretic IFL framework named SUMI-IFL that imposes sufficiency-view and minimality-view constraints on forgery feature representation. First, grounded in the theoretical analysis of mutual information, the sufficiency-view constraint is enforced on the feature extraction network to ensure that the latent forgery feature contains comprehensive forgery clues. Considering that forgery clues obtained from a single aspect alone may be incomplete, we construct the latent forgery feature by integrating several individual forgery features from multiple perspectives. Second, based on the information bottleneck, the minimality-view constraint is imposed on the feature reasoning network to achieve an accurate and concise forgery feature representation that counters the interference of task-unrelated features. Extensive experiments show the superior performance of SUMI-IFL to existing state-of-the-art methods, not only on in-dataset comparisons but also on cross-dataset comparisons. © 2024, CC BY-NC-ND.

关键词： Clutter (information theory)

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Prediction of methane storage in covalent organic frameworks using big-data-mining approach

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Chinese Journal of Chemical engineering 2021年第11期34卷 286-296页

作者： Huan Zhang Peisong Yang Duli Yu Kunfeng Wang Qingyuan Yang State Key Laboratory of Organic-Inorganic Composites Beijing University of Chemical TechnologyBeijing 100029China Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical TechnologyBeijing 100029China College of Information Science and Technology Beijing University of Chemical TechnologyBeijing 100029China

A combination of computational materials screening and machine learning(ML)technique is being adopted as a popular approach to study various materials toward application of *** this work,we began with high-throughput molecular simulations to calculate the methane storage(6.5 MPa)and deliverable(6.5-0.58 MPa)capacities of 404,460 covalent organic frameworks(COFs)at 298 ***,the full data sets with 23 features were randomly split into training and test sets in a ratio of 20:80,which were applied to evaluate the prediction abilities of several ML algorithms,including gradient boosting decision tree(GBDT),neural network(NN),support vector machine(SVM),random forest(RF)and decision tree(DT).The results indicate that the RF model has the highest prediction accuracy,which was further employed to reduce the dimension of features space and quantitatively analyze the relative importance of each feature *** binary classification predictors built using the features with the highest influence weight can give a successful identification of top-performing candidates from the test set containing 323,168 COFs with an accuracy exceeding 96%.The deliverable capacities of the identified COFs were found to outperform those reported so far for various *** findings may provide a useful guidance for the design and synthesis of new high-performance materials for methane storage application.

关键词： Covalent organic framework Monte Carlo simulation Methane Machine learning Model

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Scalable Multilayered Dielectric Polymer Film Exhibiting Significantly Improved High-Temperature Energy Density

SSRN

引用

SSRN 2024年

作者： Li, Shuxuan Qu, Jie Wang, Jian Li, Xinhui Dai, Xingyao Jiang, Yanda Shen, Zhonghui Li, Bao-Wen Zhang, Xin State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Center of Smart Materials and Devices International School of Materials Science and Engineering Wuhan University of Technology Wuhan430070 China

Dielectric polymers, serving as crucial dielectric media in high-power-density energy storage devices, play a pivotal part in modern industries and electrical systems. However, the rapid degradation of breakdown strength and charge-discharge efficiency in elevated temperature environment imposes formidable limitations on the utilization of polymer dielectric under extreme conditions. Here, a series of polyetherimide/polysulfone alternating multilayer composite films are prepared using a non-equilibrium processing method, which effectively blocks the development of breakdown paths by the interface barriers in the multilayer structure. The deep trap sites within the interface capture the charge carriers excited at high temperatures, thus decreasing conduction loss and enhancing the efficiency and breakdown field strength of the dielectric polymer. Consequently, excellent capacitive performances including a high energy density of 5.4 J cm-3 with an efficiency exceeding 90% at 200 °C and cycle stability up to 106 cycles have been obtained. Furthermore, the multilayer polymer capacitors (MLPC) constructed from composite films also exhibit significant flexibility and thermal stability. This work provides valuable insights for the advancement of high-temperature energy storage polymers with commercial application value. © 2024, The Authors. All rights reserved.

关键词： Energy storage

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Rechargeable quasi-solid-state aqueous hybrid Al^(3+)/H^(+) battery with 10,000 ultralong cycle stability and smart switching capability

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Nano Research 2021年第11期14卷 4154-4162页

作者： Hua Wang Panpan Wang Zhenyuan Ji Zhe Chen Jiaqi Wang Wei Ling Jie Liu Mengmeng Hu Chunyi Zhi Yan Huang State Key Laboratory of Advanced Welding and Joining Harbin Institute of TechnologyShenzhen518055China Flexible Printed Electronic Technology Center Harbin Institute of TechnologyShenzhen518055China School of Materials Science and Engineering City University of Hong KongHong Kong999077China School of Materials Science and Engineering Harbin Institute of TechnologyShenzhen518055China

Safe and long lifespan batteries facilitate the development of portable electronics and electric *** to the low-cost,naturally abundance,and trivalent charge carrier of aluminum with the highest theoretical volumetric capacity,rechargeable aqueous aluminum-ion-based batteries are considered as promising next-generation secondary ***,traditional electrolytes and frequent collapse of the host structure of electrode materials greatly jeopardize the cycle stability of the ***,we develop a novel hydrogel-based electrolyte coupled with stable layered intercalation electrodes for the first time to fabricate a highly safe and flexible rechargeable hybrid Al^(3^(+))/H^(+)*** as-fabricated hybrid-ion battery(HIB)delivers a high specific capacity of 125 mAh·g^(−1) at 0.1 A·g^(−1) and exhibits an unprecedented super long-term cycling stability with no capacity fading over 10,000 cycles at 2 A·g^(−1).In addition,the hydrogel-based electrolyte possesses smart function of thermoresponsive switching,which can effectively prevent thermal runaway for the *** unprecedented long cycle stability,highly intrinsic safety as well as low-cost indicate that the flexible aqueous HIBs are promising for applications.

关键词： hybrid-ion batteries hydrogel electrolyte long lifespan safety thermoresponsive

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