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)
Review
Chemistry, Physical
Hongda Yu, Luming Wu, Baoxia Ni, Tiehong Chen
Summary: The development of efficient, stable, and economic electrocatalysts is crucial for the large-scale application of electrochemical energy conversion. Porous carbon-based non-precious metal electrocatalysts are considered as the most promising materials to replace costly Pt-based catalysts. The porous carbon matrix, with its high specific surface area and controllable structure, facilitates the dispersion of active sites and mass transfer, showing great potential in electrocatalysis.
Review
Nanoscience & Nanotechnology
Xiaoxiao Huang, Tong Shen, Shengnan Sun, Yanglong Hou
Summary: This review focuses on carbon-based, precious-metal-free nanocatalysts with synergistic modulation of active-site species and their exposure, mass transfer, and charge transport during the electrochemical process. The study proposes perspectives on synergistic modulation strategies to advance the development of Pt-free ORR catalysts and the broad application of fuel cells.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Chemistry, Physical
Vineesh Thazhe Veettil, Anagha Usha Vijayakumar, Aviv Ashdot, David Zitoun
Summary: The sluggish kinetics of the anodic oxygen evolution reaction (OER) limit the overall efficiency of green hydrogen production. A proposed strategy to overcome this is to replace OER with other kinetically favorable anodic reactions like urea oxidation reaction (UOR). Here, we develop an organometallic synthesis of nickel nitride nanoparticles supported on carbon (Ni3N-C) as the catalyst for both UOR and hydrogen evolution reaction (HER). For the first time, a precious group metal-free electrolyzer based on Ni3N-C catalyst (as both anode and cathode) is implemented, and the urea electrolyzer cell has a 200 mV lower overpotential compared to that of the water electrolyzer.
ACS APPLIED ENERGY MATERIALS
(2022)
Article
Chemistry, Physical
Mengjie Ma, Yi Zhang, Yujin Ji, Qi Shao, Kui Yin, Wenxiang Zhu, Junjun Yang, Fan Liao, Zhenglong Fan, Yang Liu, Youyong Li, Mingwang Shao, Zhenhui Kang
Summary: This study reports a versatile strategy for enhancing the catalytic activity and anti-poisoning ability of noble metal catalysts towards ORR by decorating them with size-controlled silicon nanoclusters (DS). DS-Pd exhibits superior ORR performance and enhanced anti-poisoning performance compared to commercial catalysts.
APPLIED CATALYSIS B-ENVIRONMENTAL
(2022)
Article
Engineering, Environmental
Mehdi Mirzaei Alavijeh, Sajjad Habibzadeh, Khatereh Roohi, Farhad Keivanimehr, Leila Naji, Mohammad Reza Ganjali
Summary: This study introduces a novel precious metal-free Ti0.35V0.35Sn0.25Sb0.05-oxide electrocatalyst that selectively conducts the reaction pathway towards chlorine evolution reaction with a high faradaic current efficiency of around 88%. The electrocatalyst was scrutinized by various techniques, showing a decent overpotential difference between oxygen evolution reaction and chlorine evolution reactions. The geometric structure and surface properties of the synthesized electrocatalyst were tuned by incorporating vanadium pentoxide, antimony, and tin oxide.
CHEMICAL ENGINEERING JOURNAL
(2021)
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.
Review
Chemistry, Inorganic & Nuclear
Maryam Kiani, Xiao Qing Tian, Wenxing Zhang
Summary: The development of non-precious nanomaterial-based electrocatalysts for polymer electrolyte membrane fuel cells is crucial for enhancing oxygen reduction reaction efficiency, stability, and cost-effectiveness. The use of fuel cells is favored due to their higher efficiency, cleanliness, and cost-effective power supply. Addressing the challenges in improving non-precious metal catalysts is essential for the future advancement of renewable energy technologies.
COORDINATION CHEMISTRY REVIEWS
(2021)
Review
Chemistry, Multidisciplinary
Wen-Jun Niu, Jin-Zhong He, Bing-Ni Gu, Mao-Cheng Liu, Yu-Lun Chueh
Summary: This review highlights the recent advances in transition metal single-atom catalysts supported by 2D materials for electrocatalytic oxygen reduction reaction (ORR). It discusses the advantages of 2D materials as supporting materials, the identification of active sites, possible catalytic mechanisms, and future perspectives in the field. Additionally, it summarizes the future opportunities and challenges of transition metal single-atom catalysts supported by 2D materials based on the current development trend of ORR catalysts.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Engineering, Environmental
Hui Fu, Juan Wang, Yao Chen, Honggang Huang, Yang Wang, Hanjun Li, Feili Lai, Longsheng Zhang, Nan Zhang, Jiadong Chen, Tianxi Liu
Summary: For the first time, Pd3Pb bimetallic aerogels (BMAs) were synthesized using an ionic liquid assisted strategy to enhance the performance of oxygen reduction reaction (ORR). The Pd3Pb BMAs exhibit excellent ORR activity and anti-poisoning property, outperforming Pd metallic aerogels and commercial Pd/C. Mechanism studies reveal that the strong interaction between Pd and Pb, as well as the abundant unsaturated sites of Pd3Pb BMAs, contribute to optimizing the adsorption and dissociation of intermediates during ORR, while suppressing the adsorption of CO and CH3OH.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Chemistry, Physical
Liu Yang, Huibing Liu, Zelong Qiao, Panpan Sun, Danyang Li, Run Jiang, Shengwen Liu, Ziqiang Niu, Yongguang Zhang, Ting Lin, Qinghua Zhang, Lin Gu, Shitao Wang, Dapeng Cao, Zhongwei Chen
Summary: In this study, a metal-free carbon catalyst NDPC-1000 with a graphitic N-regulating defect structure was designed for anion-exchange membrane fuel cells (AEMFCs) through theoretical calculations and experiments. The graphitic N was found to tailor the charge density of defects to enhance the adsorption energy-activity relation, and the high durability was attributed to the dissociation energy of the C-N covalent bond. The synthesized NDPC-1000 demonstrated excellent ORR activity and durability in alkaline media, achieving a peak power density of 913 mW cm(-2) and a voltage decay of approximately 25% after 100 hours of continuous operation.
ADVANCED ENERGY MATERIALS
(2023)
Review
Chemistry, Physical
Qixing Du, Yanmei Gong, Muhammad Arif Khan, Daixin Ye, Jianhui Fang, Hongbin Zhao, Jiujun Zhang
Summary: This paper discusses the research progress in transition metal nitrides as electrocatalysts for the oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) in zinc-air batteries (ZABs). The surface/interface nanoengineering strategies and physical/chemical properties of TMNs-based electrocatalysts are emphasized. The challenges of TMNs-based materials as bifunctional air-cathode electrocatalysts in practical application are evaluated, and research guidelines are proposed.
GREEN ENERGY & ENVIRONMENT
(2022)
Article
Chemistry, Physical
Xu Zhang, Lei Wang
Summary: This study provides a comprehensive review of the research progress in electrospun carbon nanofiber-based precious-metal-free catalysts for air-cathodes in ZABs. It highlights the oxygen reaction mechanisms for air-cathodes, structural characteristics and performance of different types of nanofiber catalysts, and the design principles of carbon nanofiber catalysts prepared by electrospinning, while also discussing the challenges and future prospects in developing such catalysts for ZABs.
JOURNAL OF POWER SOURCES
(2021)
Article
Chemistry, Physical
R. Sivaraman, Maria Jade Catalan Opulencia, Ali Majdi, Indrajit Patra, Mohammed Kadhem Abid, Ali Thaeer Hammid, Maryam Derakhshandeh
Summary: Quantum-chemical computations were used to calculate the thermodynamic variations of the potential reaction steps in the oxygen reduction reaction (ORR) of NiN3-Gr catalyst's active center. The consistency of adsorption energies for O-containing intermediates was observed. The advantageousness of following a 4-electron pathway compared to a 2-electron one was demonstrated by the great thermodynamic driving forces for reducing OOH. The results provide guidance for synthesis and selection of NiN3-Gr combinations for fuel cell applications.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Energy & Fuels
Steffen Haller, Vladislav Gridin, Kathrin Hofmann, Robert W. Stark, Barbara Albert, Ulrike Kramm
Summary: Zinc-air batteries have advantages over lithium-ion technology in terms of utilizing earth-abundant elements, low cost, lightweight construction, and improved safety. Non-precious metal catalysts, including metal-nitrogen-carbon (MNC) for ORR and metal oxyhydroxides for OER, show promising results in improving the efficiency of these reactions in half-cell measurements. X-ray diffraction and Raman spectroscopy were utilized to characterize the catalysts, revealing their phase composition and performance in a zinc-air cell, demonstrating peak power density and charge-discharge gap after cycling.
Article
Chemistry, Physical
Kuixin Lin, Yongkang Tan, Hongmei Chen, Xiaoma Tao, Yifang Ouyang, Yong Du
Summary: In this study, molecular dynamics simulations were conducted to investigate the shock-wave propagation in nanocomposites consisting of different low-dimensional carbon materials (FCC-C60, MCNT, or MGNS) and monocrystal Al. The results revealed the intrinsic correlation between their phononic characteristics and shock-wave energy absorption. It was found that MCNT exhibited superior elastic absorption, reducing the shock-wave intensity by 80%. The dispersion mechanism mediated by the interaction between mid-frequency phonons and shock-wave played a significant role in absorbing large amounts of shock-wave energy. Additionally, the dissipation mechanism arising from thermal phonon scattering and interfacial phonon damping contributed to the energy absorption process.
Article
Polymer Science
Sheng-Li Wu, Junfei Qiao, Jintao Guan, Hong-Mei Chen, Tielin Wang, Cunwen Wang, Yi Wang
Summary: The advent of nascent d-UHMWPE has overcome the intrinsic defects of commercial UHMWPE products and provides access to high value-added materials with improved qualities. The synthesis of d-UHMWPE can be achieved using either single site catalysts or heterogeneous solid catalysts, resulting in a much easier processability. The processed d-UHMWPE demonstrates superior drawability, flexibility, toughness, and thermal conductivity, making it suitable for various applications.
EUROPEAN POLYMER JOURNAL
(2023)
Article
Oncology
Jianxiong Li, Huaguo Liang, Wentao Xiao, Peng Wei, Hongmei Chen, Zexin Chen, Ruihui Yang, Huan Jiang, Yongli Zhang
Summary: Through whole-exome sequencing, it was found that CCDC170 gene is closely associated with the survival and prognosis of ovarian cancer. High expression of CCDC170 can significantly prolong the overall survival of ovarian cancer patients, and its expression in ovarian cancer cells is significantly lower than that in normal cells.
Article
Engineering, Environmental
Chen Zhao, Xinyue Xu, Hongmei Chen, Fengwen Wang, Penghui Li, Chen He, Quan Shi, Yuanbi Yi, Xiaomeng Li, Siliang Li, Ding He
Summary: Photochemical reactions are important in altering the chemistry of dissolved organic matter (DOM). This study used machine learning to integrate existing irradiation experiments and gain new insights into the transformation processes of estuarine DOM. Irradiation experiments provide valuable information on the photochemical reactivity of molecules, but the inconsistent fate of irradiated molecules in different experiments hinders our understanding of the roles played by photochemical reactions, which cannot be properly addressed by traditional approaches.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Polymer Science
Junhao Liu, Wanting Wei, Feng Cao, Zhiyong Zeng, Kun Qian, Hongmei Chen, Fenghua Zhang, Wenbing Li
Summary: Inspired by nature, scientists have developed surfaces with controllable wettability through alterations in surface micro/nanostructures or changes in chemical compositions. This article reports the control of surface wettability using three types of shape-memory micropatterns that can be reversibly transformed between a stretched and an original/recovered state due to the shape-memory properties of poly (ethylene-co-vinyl acetate) (EVA). The study also demonstrates that surface wettability can be controlled by the reversible transformation of surface micropatterns.
EUROPEAN POLYMER JOURNAL
(2023)
Article
Biochemistry & Molecular Biology
Qian Gao, Zhong-Yuan Zhou, Ya-Ning He, Ming-Hui Dong, Zhao-Ning Wang, Hong-Mei Chen
Summary: This study evaluated the toxicity of BDE-47 towards RAW264.7 mouse macrophage cells and found that it caused a decrease in cell viability, an increase in apoptosis, and inhibition of phagocytosis. The mechanisms involved mitochondrial pathway-induced cell apoptosis and oxidative damage. Treatment with an antioxidant reversed the effects, while treatment with a ROS-inducer exacerbated them. These findings highlight the critical role of oxidative damage in BDE-47-induced suppression of immune function.
Article
Humanities, Multidisciplinary
Feng Yuan, Zihan Li, Sheng Hu, YuLu Wang, Hongmei Chen, Lala Jia, Long Liu, Jian Gao, Yongbin Yu, Jinwei Li, Qiang Wu, Qijiang Li
Summary: This study uses a combination of EDXRF and LA-ICP-MS to analyze the chemical composition of celadon from different periods of tomb at the Yutu Hill burial complex. The results not only provide additional data to explore the provenance of the celadon but also validate the accuracy of the data. The comparison with products from kiln sites revealed a connection between the Xunyang city site and the Hongzhou kiln during the Eastern Han period to the Tang dynasty.
Article
Public, Environmental & Occupational Health
Yuanxia Liu, Hongmei Chen, Mengtian Zhang, Gangjiao Zhu, Yan Yang, Yuanyuan Li, Wei Lu, Hongling Zhang
FRONTIERS IN PUBLIC HEALTH
(2023)
Article
Agronomy
Hongmei Chen, Yongyi Fan, Dian Li, Zhihao Sun, Zheyan Ruan, Huali Yang, Yiwei Kang, Weixun Wu, Qunen Liu, Xiaodeng Zhan, Liyong Cao, Ming Zhou, Shihua Cheng, Yingxin Zhang
Summary: Through the study of 76 CSSLs, four QTLs controlling tiller number in rice were identified, with two of them previously detected. Further validation and fine mapping narrowed down these QTLs to specific chromosomal regions and identified two novel genes, providing valuable insights into the regulatory mechanism of tiller number in the ZH9308 variety and its application in super-hybrid breeding.
Article
Computer Science, Artificial Intelligence
Binbin Sang, Lei Yang, Hongmei Chen, Weihua Xu, Xiaoyan Zhang
Summary: This paper proposes a robust fuzzy dominance rough set model to tackle noise interference and develops a feature selection method based on this model for ordinal classification tasks. The robust model is constructed using a non-linear vague quantifier and related dependency function, while the contribution of feature combinations for ordinal classification is characterized using rank entropy-based uncertainty measures. A new feature evaluation index and corresponding feature selection algorithm are also presented. Numerical experiments demonstrate the effectiveness of the proposed model and feature selection method.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Jihong Wan, Hongmei Chen, Tianrui Li, Min Li, Xiaoling Yang
Summary: Feature selection is crucial in data mining and knowledge discovery. Existing methods often overlook high-order interactions among variables, resulting in the loss of important dependency information. To address this, a robust knowledge metric approach is proposed to perceive and excavate the hidden latent information.
PATTERN RECOGNITION
(2023)
Article
Cardiac & Cardiovascular Systems
Yonghua Bi, Hongmei Chen, Wenguang Zhang, Xinwei Han, Jianzhuang Ren
Summary: We describe a case where the guidewire lasso technique was used to remove an embedded esophageal self-expanding metal stent (SEMS) after a failed attempt with the removal hook. The strut of the stent fractured during the removal procedure, making it impossible to retrieve using the hook. The retained stent was successfully removed using the lasso technique with a guidewire, and the patient remained free of dysphagia after 3 months of follow-up.
ANNALS OF THORACIC AND CARDIOVASCULAR SURGERY
(2023)
Article
Computer Science, Artificial Intelligence
Chuan Luo, Sizhao Wang, Tianrui Li, Hongmei Chen, Jiancheng Lv, Zhang Yi
Summary: This paper presents parallel feature selection algorithms based on the rough hypercuboid approach to handle growing data volumes. Experimental results show that our algorithms are significantly faster than the original sequential counterpart while guaranteeing result quality. Moreover, the proposed algorithms can effectively utilize distributed-memory clusters to handle computationally demanding tasks.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Hong-Mei Chen, Hai-Wen Xu, Jun-Feng Yang
Summary: This paper considers a class of structured convex optimization problems in image processing, proposes a hybrid algorithm tailored for these problems, and tests its effectiveness under Poisson noise.
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
(2023)
Article
Computer Science, Artificial Intelligence
Chuan Luo, Sizhao Wang, Tianrui Li, Hongmei Chen, Jiancheng Lv, Zhang Yi
Summary: This article proposes a novel global search method for numerical feature selection, RH-BPSO, based on the hybridization of the rough hypercuboid approach and binary particle swarm optimization (BPSO) algorithm. Parallelization approaches for large-scale datasets are also presented by decomposing and recombining hypercuboid equivalence partition matrix. The experimental results indicate that RH-BPSO outperforms other feature selection algorithms in terms of classification accuracy, the cardinality of the selected feature subset, and execution efficiency. Moreover, the distributed meta-heuristic optimized rough hypercuboid feature selection algorithm, DiRH-BPSO, is significantly faster than its sequential counterpart and can handle large-scale feature selection tasks on distributed-memory multicore clusters.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
