Article
Nanoscience & Nanotechnology
Lulu Wen, Xinyang Li, Rui Zhang, Huawei Liang, Qitao Zhang, Chenliang Su, Yu-Jia Zeng
Summary: Introducing oxygen vacancies is considered an effective method to accelerate the nitrogen reduction reaction, and Zn-Co3O4 nanopolyhedrons with abundant oxygen vacancies and high catalytic performance have been successfully prepared in this study. The catalyst shows high ammonia yield and faradaic efficiency, as well as excellent stability.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Chemistry, Physical
Tiantian Fu, Guijun Li, Yang Xiang, Yibo Tang, Dongping Cai, Shuangshi Jiang, Yu Xue, Zhongping Xiong, Yujun Si, Chaozhong Guo
Summary: The synthesized bifunctional oxygen electrocatalyst Co-UA-OCB with heavy nitrogen content exhibits remarkable activity for oxygen reduction and evolution reactions, showing promising potential for rechargeable Zn-air batteries.
JOURNAL OF ALLOYS AND COMPOUNDS
(2021)
Article
Chemistry, Multidisciplinary
Yijie Wang, Aoshuang Li, Chuanwei Cheng
Summary: The study reports an efficient bifunctional oxygen electrocatalyst Co(OH)(2)@NC, showing excellent bifunctional activity, and exhibiting outstanding performance in rechargeable Zn-air batteries.
Article
Chemistry, Multidisciplinary
Jisue Kang, Jong Gyeong Kim, Sunghoon Han, Youngin Cho, Chanho Pak
Summary: In this study, a gram-scale soft-template-based silica-assisted method was used to prepare nitrogen-doped hollow nanoporous carbon spheres. Cobalt was introduced as an active center for the oxygen reduction reaction, resulting in well-dispersed cobalt particles.
Article
Chemistry, Physical
Jing Wang, Haihong Zhong, Luis Alberto Estudillo-Wong, Huiyu Li, Nicolas Alonso-Vante, Danqing Li, Pinggui Tang, Yongjun Feng
Summary: This study successfully synthesized nitrogen-doped graphene decorated with cobalt-based nanoparticles, showing excellent performance and stability, providing a new paradigm for the design of efficient non-precious metal-based electrocatalysts.
CATALYSIS COMMUNICATIONS
(2022)
Article
Chemistry, Physical
K. M. Parida, Lekha Paramanik, Sabiha Sultana
Summary: This study demonstrated the efficient nitrogen reduction to ammonia using a combination of cobalt titanate and nitrogen-doped reduced graphene oxide under visible light irradiation. By optimizing the concentration of nitrogen-doped reduced graphene oxide, the production of ammonia was significantly improved, paving the way for the development of highly active catalyst materials for sustainable energy conversion in the future.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2022)
Article
Polymer Science
Ying Leng, Kai Jin, Tian Wang, Hui Sun
Summary: A facile preparation strategy is proposed to prepare nitrogen-doped carbon sponge loaded with fine cobalt nanoparticles by the direct pyrolysis of the cobalt ions adsorbed polymeric precursor. The resulting Co/CoO@NCS exhibits promising catalytic activity toward oxygen reduction reaction, making it a potential candidate for efficient electrocatalysis.
Article
Chemistry, Physical
Zhixiang Cui, Jixin Lin, Jiahui Wu, Jiaqi Yu, Junhui Si, Qianting Wang
Summary: A novel nanocomposite of N-doped CoP nanoparticles embedded in porous carbon nanofibers has been synthesized, showing outstanding electrocatalytic properties for oxygen evolution reaction. This material has the potential for cost-effective and high-efficiency applications.
JOURNAL OF ALLOYS AND COMPOUNDS
(2021)
Article
Chemistry, Physical
Fatima Nasim, Hassan Ali, Amir Waseem, Muhammad Amtiaz Nadeem, Muhammad Arif Nadeem
Summary: A non-noble metal-based catalyst with comparable activity to conventional noble metal catalysts is successfully synthesized through a simple synthetic strategy. Acid treatment significantly enhances the electrocatalytic activity, and the catalyst demonstrates excellent durability and methanol tolerance. The enhanced activity is attributed to the synergistic effect of the carbon matrix and encapsulated nanoparticles.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Engineering, Chemical
Sujung Park, NaHyun Park, Muthuchamy Nallal, Mohammad Yusuf, Sungkyun Park, Jae-Myung Lee, Kang Hyun Park
Summary: In this study, rhodium and cobalt alloy nanoparticles were deposited on nitrogen-doped carbon supports using ball milling and thermal decomposition. The resulting RhCo/NC nanocatalyst showed good catalytic activity and durability for the oxygen reduction reaction in fuel cells.
Article
Chemistry, Physical
Caijin Shi, Xieraili Maimaitiyiming
Summary: A successful synthesis of a non-noble metal oxygen reduction catalyst, derived from high-nitrogen content carbon material and Ca modification, exhibits excellent ORR catalytic performance and methanol poisoning resistance, while also serving as a good support for Pt nanoparticles.
JOURNAL OF ALLOYS AND COMPOUNDS
(2021)
Article
Chemistry, Physical
Zihao Ma, Ying Han, Xing Wang, Guangwei Sun, Yao Li
Summary: In this study, three-dimensional N and S co-doped carbon nanosheets loaded with cobalt sulfide nanoparticles (Co1-xS@SNFC) were successfully synthesized as bifunctional oxygen electrocatalysts. The Co1-xS@SNFC catalyst exhibited fast electrochemical kinetic properties and excellent stability for oxygen reduction reactions (ORR) and oxygen evolution reactions (OER) due to the synergistic effect of multiple active sites. Compared with commercial noble metal catalysts, Co1-xS@SNFC showed similar half-wave potential, ultra-low overpotential, and demonstrated high performance in a Zn-air battery with a low voltage gap of polarization curve and high power density.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2023)
Article
Chemistry, Physical
Jin Yan, Xiangjun Zheng, Chaohui Wei, Zhihui Sun, Kai Zeng, Liwei Shen, Jiawen Sun, Mark H. Rummeli, Ruizhi Yang
Summary: The study demonstrated the synthesis of nitrogen-doped hollow carbon polyhedrons with exceptional ORR electrocatalytic activity and long-term stability, providing a new approach for designing high-performance electrocatalysts.
Article
Nanoscience & Nanotechnology
Hao Wang, Caixia Zheng, Bing Huang, Nannan Jiang, Yaoxin Li, Minghao Wang, Qirui Wu, Huiying Wang, Lunhui Guan
Summary: Extensive investigations have been conducted on nitrogen-doped carbon materials as catalysts for the oxygen reduction reaction (ORR). In this study, nitrogen-doped hollow carbon spheres (N-CHS) with unique characteristics such as thin carbon shell, hollow structure, large surface area, and distinct pore features are introduced. These materials show significant potential in ORR activity within alkaline media. By doping iron into N-CHS, Fe-N active sites are effectively formed, leading to improved catalytic performance. When used as a cathode catalyst in zinc-air batteries, this catalyst exhibits an impressive power density of 162.6 mW cm-2.
Article
Biochemistry & Molecular Biology
Huitian Yang, Hao Wu, Lei Yao, Siyan Liu, Lu Yang, Jieling Lu, Hongliang Peng, Xiangcheng Lin, Ping Cai, Huanzhi Zhang, Fen Xu, Kexiang Zhang, Lixian Sun
Summary: In this study, a non-precious-metal tris (Fe/N/F)-doped particulate porous carbon material was synthesized by a one-step process and showed good oxygen reduction reaction performance in an alkaline medium. The synthesized catalyst exhibited better stability and methanol resistance compared to commercial Pt/C.
Article
Electrochemistry
Yu Huang, Shengqi Ding, Sunjie Xu, Zi-Feng Ma, Xianxia Yuan
Summary: In this study, a high S vacancy concentration SnS2 sheet array was fabricated on carbon paper using hydrothermal synthesis. When used as the anode material in a lithium-ion battery, the SnS2/CP electrode showed significantly improved performance compared to SnS2 powders.
ELECTROCHIMICA ACTA
(2022)
Article
Engineering, Environmental
Yu Huang, Shengqi Ding, Sunjie Xu, Zi-Feng Ma, Jiulin Wang, Xianxia Yuan
Summary: The property of solid electrolyte interface (SEI) that is related to the nature of electrolyte directly affects the electrochemical performance of electrode materials in potassium ion battery. The correlation between the potassium storage performance of SnO2@C composite and the generation and properties of SEI film in two different electrolytes was explored in this study. It was found that the superior potassium storage performance of SnO2@C in KFSI-DME electrolyte was due to the thin inorganic-rich SEI film generated mainly from decomposition of KFSI salt, while the thick organic SEI film formed in KPF-ED electrolyte resulted in poor potassium storage performance of SnO2/C as anode material.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Computer Science, Information Systems
Zhi Li, Haoliang Li, Xin Luo, Yongjian Hu, Kwok-Yan Lam, Alex C. Kot
Summary: This paper proposes a novel framework based on asymmetric modality translation for face presentation attack detection in bi-modality scenarios. The framework establishes connections between two modality images of genuine faces, and utilizes an asymmetric modality translator and modality fusion scheme to detect various types of attacks. Extensive experiments validate the effectiveness of the method and its state-of-the-art performance under different evaluation protocols.
IEEE TRANSACTIONS ON MULTIMEDIA
(2023)
Article
Computer Science, Artificial Intelligence
Chris Xing Tian, Haoliang Li, Xiaofei Xie, Yang Liu, Shiqi Wang
Summary: This paper focuses on the domain generalization task where only single domain can be utilized during training. They propose to improve the generalization capability by maximizing the neuron coverage of Deep Neural Network (DNN) with the gradient similarity regularization between the original and augmented samples. The effectiveness of their proposed approach is demonstrated through extensive studies on various domain generalization tasks.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2023)
Article
Chemistry, Analytical
Lin Wang, Yufeng Xiao, Baorui Zhang, Ran Liu, Bin Zhao
Summary: This paper proposes a detection method for water surface targets based on the fusion of 3D point clouds and visual information. It reduces the impact of ripples and reflections using point clouds and enhances recognition accuracy with visual information. The method consists of three steps: detection, projection of point clouds, and determination of target confidence. The experimental results show higher accuracy compared with traditional methods.
Article
Nanoscience & Nanotechnology
Lu Zhang, Ke Yu, Yayue Li, Zhuo Wang, Ke Zhan, Junhe Yang, Bin Zhao
Summary: In this study, Ti3C2Tx/rGO/Fe3O4 hybrid aerogel electrodes were fabricated using a one-step hydrothermal gelation process. The hybrid aerogels exhibited excellent electrochemical performance and high energy storage capacity, thanks to their 3D porous structure and intimate anchoring of Fe3O4 nanoparticles.
ACS APPLIED NANO MATERIALS
(2023)
Article
Engineering, Electrical & Electronic
Pengfei Chen, Leida Li, Haoliang Li, Jinjian Wu, Weisheng Dong, Guangming Shi
Summary: Despite the progress of supervised methods in quality assessment for in-the-wild videos, models trained on one domain often fail to generalize to others due to domain shifts caused by distortion diversity and content variation. In this study, we propose DEEK, a domain generalizable VQA method that dynamically exploits expert-knowledge from each source domain to achieve a generalizable ensemble prediction.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2023)
Article
Chemistry, Analytical
Nanxin Fu, Jiazhen Zhang, Yuan He, Xuyang Lv, Shuguang Guo, Xingjun Wang, Bin Zhao, Gang Chen, Lin Wang
Summary: This study prepared a photodetector based on a hybrid dimensional heterostructure of multiwall carbon nanotubes (MWCNTs) and multilayered MoS2. With the high mobility of carbon nanotubes and efficient interband absorption of MoS2, broadband detection from visible to near-infrared was achieved. The device exhibited exceptional responsivity, detectivity, and external quantum efficiency, providing a new option for optoelectronic devices based on low-dimensional materials.
Article
Chemistry, Multidisciplinary
Shengqi Ding, Liang Wu, Fang Zhang, Xianxia Yuan
Summary: Introducing heteroatom into the lattice of catalysts is an efficient approach to enhance the electrocatalytic performance in Li-O-2 batteries. In this study, Cu-doped CoS2 nanoparticles were synthesized and evaluated as cathode catalysts for Li-O-2 batteries. The doping of Cu heteroatom in the CoS2 lattice was found to increase the covalency of the Co-S bond, resulting in less electron transfer to Li-O species and improving the catalytic performance. The battery using Cu-CoS2 nanoparticles showed superior kinetics, reversibility, capacity, and cycling performance compared to the battery using CoS2 catalyst.
Article
Energy & Fuels
Sunjie Xu, Yu Huang, Wenrui Wei, Yi Fan, Zhidong Jiang, Renhuan Li, Xianxia Yuan
Summary: In this study, a scalable sulfur-doped carbon material (SCC2) was developed through facile pyrolysis using disposable chopsticks and low-cost sulfur as precursors. SCC2 exhibited enlarged interplane distance, increased defect sites, stable hierarchical structure, and uniform sulfur doping, which contributed to its superior long-term cycling performance and excellent rate capability for potassium ion batteries.
Article
Chemistry, Physical
Jingyuan Zhang, Shasha Zhang, Xiaofeng Zhang, Zhen Ma, Zhuo Wang, Bin Zhao
Summary: In this study, a nickel-molybdenum nanorod array catalyst supported on NF with a Ni4Mo/MoO2 heterostructure was synthesized. The catalyst exhibited excellent catalytic activity for the hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) due to the unique core-shell structure and defect-rich NiMoO4 core. This work provides a route for rational design of heterostructure electrocatalysts with multiple active components.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2023)
Article
Electrochemistry
Rizwan Haider, Yi Wan, Yu Huang, Ayaz Muzammil, Renhuan Li, Muhammad Zahid, Asif Mahmood, Yi Fan, Xianxia Yuan
Summary: Hollow nitrogen-doped carbon spheres (HNCS-1000) with high onset and halfwave potentials, excellent stability, and durability have been successfully prepared. The ORR performance of HNCS-1000 surpasses most of the previously reported nitrogen-doped carbon catalysts, making it one of the best catalysts for ORR in alkaline environment.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2023)
Article
Chemistry, Physical
Rizwan Haider, Shengqi Ding, Wenrui Wei, Yi Wan, Yu Huang, Renhuan Li, Liang Wu, Ayaz Muzammil, Yi Fan, Xianxia Yuan
Summary: In this work, a highly active and stable ZIF-8-derived nitrogen doped carbon catalyst (NC-1000) was prepared using a double pyrolysis strategy. NC-1000 showed significantly improved oxygen reduction reaction (ORR) performance in an alkaline environment, surpassing most previously reported nitrogen doped carbon catalysts.
JOURNAL OF MATERIALS CHEMISTRY A
(2023)
Review
Chemistry, Multidisciplinary
Ayaz Muzammil, Rizwan Haider, Wenrui Wei, Yi Wan, Muhammad Ishaq, Muhammad Zahid, Waleed Yaseen, Xianxia Yuan
Summary: Electrocatalytic water splitting is a sustainable green technology for hydrogen and oxygen production. Noble metal-based electrocatalysts such as Pt for HER and RuO2/IrO2 for OER are considered state-of-the-art, but their high cost and scarcity limit their practical applications. Transition metal-based electrocatalysts have attracted attention as alternatives due to their catalytic performance, cost-effectiveness, and availability. However, their long-term stability in water splitting devices is unsatisfactory. Encapsulating TM-based materials in CNMs and doping CNMs with heteroatoms (N, B, N,B) can enhance their performance. This review summarizes the recent progress and discusses the challenges and future prospects of TM-based materials hybridized with CNMs for electrocatalysis in water splitting.
MATERIALS HORIZONS
(2023)
Article
Computer Science, Artificial Intelligence
Hao Cheng, Yufei Wang, Haoliang Li, Alex C. Kot, Bihan Wen
Summary: In this work, a novel disentangled feature representation (DFR) framework is proposed for few-shot learning applications. DFR can adaptively separate the discriminative features from the class-irrelevant components, boosting the performance of existing deep few-shot learning methods. Additionally, a new dataset called FS-DomainNet is introduced for benchmarking few-shot domain generalization tasks. Experimental results show that the DFR-based few-shot classifiers achieve state-of-the-art results on various few-shot tasks.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
