Article
Energy & Fuels
Yu Song, Hong Wu, Biemin Sun, Min Liu, Wucui Ren, Yanqin Xu, Yuan Cao, Changguo Chen
Summary: Folded nanotubes were grown directly on Ni foam using a two-step hydrothermal method to form activated carbon (AC) and NiCo2S4 composite material with a unique nano-urchin structure. The morphology and structure could be controlled by the duration of the hydrothermal reaction. Characterization of the samples was done using XRD, XPS, EDS, and SEM. The electrochemical tests showed that the 12-hour hydrothermal composites (AC@NiCo2S4-2) had a complete folded nanotube structure, a large number of reactive sites, and better electrochemical properties compared to the 6-hour and 24-hour composites. The AC@NiCo2S4-2 also exhibited a high specific capacitance of 653.9 C g-1 at a current density of 1 A g-1, compared to the capacitance of NiCo2S4 (456.14 C g-1). Furthermore, the AC@NiCo2S4-2 showed improved electrochemical performance and cycle stability after combining with AC, with a capacitance retention rate of 62.84% at 10 A g-1 compared to 1 A g-1 and retaining 84.96% of the initial capacitance after 3000 cycles. Additionally, the hybrid supercapacitor (HSC) based on AC@NiCo2S4-2 and AC electrodes achieved a high energy density of 29.75 Wh kg-1 at a power density of 700 W kg-1 and maintained an energy density of 16.86 Wh kg-1 at a high power density of 7000 W kg-1.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Chemistry, Analytical
Kexin Cui, Jincheng Fan, Zhihao Wang, Guicai Xiao, Shanqiang Gao, Ting Huang, Zicong Tan, Chaoqun Niu, Wenbin Luo, Zisheng Chao
Summary: NiCo2S4@Ni3Se2 nanocomposites were fabricated through a hydrothermal + electrodeposition method on Ni foam, and their performances in energy storage and hydrogen evolution reaction were systematically investigated. As an electrode material for supercapacitors, NiCo2S4@Ni3Se2 demonstrated a specific capacitance of 9.82F cm-2 at 3 mA cm-2. The corresponding asymmetric supercapacitor exhibited a specific capacitance of 5.18F cm-2 at 3 mA cm-2 and retained 66.6% with a current density increasing to 20 mA cm-2. Moreover, NiCo2S4@Ni3Se2-1.0-5 showed outstanding electrocatalytic activation with low potentials for urea electrooxidation reaction (UOR) and ethanol oxidation reaction (EOR), and achieved a two-electrode overall water splitting potential of 1.566 V in 1 M KOH + 0.1 M urea. Thus, this study demonstrates the promising practical applications of NiCo2S4@Ni3Se2 nanocomposites in energy storage and hydrogen evolution reaction.
JOURNAL OF ELECTROANALYTICAL CHEMISTRY
(2023)
Article
Materials Science, Multidisciplinary
D. N. Sangeetha, M. Selvakumar, P. Selvaraj, S. Senthilkumar
Summary: Porous reduced graphene oxide (prGO) and NiCo2S4 composite were prepared hydrothermally and used as electrode materials for supercapacitors (EC) and hydrogen evolution reaction (HER). The study showed that symmetric supercapacitors exhibited a much higher specific capacitance (SC), reaching up to fifty times the original value. The composite also displayed good HER activity with a low Tafel slope value of -57 mV dec(-1).
Article
Materials Science, Ceramics
Sivalingam Ramesh, K. Karuppasamy, Dhanasekaran Vikraman, H. M. Yadav, Hyun-Seok Kim, Arumugam Sivasamy, Heung Soo Kim
Summary: In this study, nanoporous carbon composites for supercapacitor applications were synthesized using sonication-supported hydrothermal process, showing improved structural, morphological, and electrochemical properties. The specific capacitance of NiCo2S4@N-MWCNT/MOF67 composite was increased by 1.78-fold, demonstrating excellent electrochemical performance and stability.
CERAMICS INTERNATIONAL
(2022)
Article
Chemistry, Analytical
Yuhan Cui, Lijie Zhao, Hong Pan, Chunyan Zhao, Jianxin Wang, Lu Meng, Haixia Yu, Bing Zhao, Xi Chen, Jinyue Yang, Xinyue Gao, Xiaoqing Xu
Summary: A facile method was used to fabricate reduction graphene oxide supported NiCo2S4 nanomaterial at ambient temperature. The prepared material showed high specific capacitance and good thermal stability. This research provides basic research for the application of bimetallic sulfide with high surface area and high electrochemical activity in supercapacitors.
MICROCHEMICAL JOURNAL
(2023)
Article
Chemistry, Physical
Hongyan Wang, Lecheng Tian, Maryum Ali, Xin Zhao, Shiyu Han, Zhicai Xing
Summary: This work presents a simple and eco-friendly two-step electrodeposition method to prepare NiCo2S4/MoSx composites. The composites exhibit high specific capacity and good stability, making them promising electrodes for all-solid symmetric supercapacitors.
JOURNAL OF ALLOYS AND COMPOUNDS
(2023)
Article
Chemistry, Physical
Xiao-Lu Wang, Guo-Feng Zhang, Ramzi Nasser, Tian-Tian Jiang, Qing-Wen Cao, Ming-ze Gong, Xin-Yi Li, Ji-Ming Song
Summary: In this work, controllable morphology Co/Ni Basic Carbonate Composites (CNBCC) were synthesized and exhibited remarkable electrochemical performance and cycling stability. Furthermore, a solid-state asymmetric supercapacitor with high energy density, good flexibility, and reliable charge-discharge performance was constructed.
JOURNAL OF ALLOYS AND COMPOUNDS
(2022)
Article
Electrochemistry
Meijie Ding, Zhiqiang Wei, Xiaojun Zhu, Dexue Liu
Summary: This paper synthesized NiCo2S4/g-C3N4 nanocomposites through a simple hydrothermal method, which greatly improved the cycle life of supercapacitors. The composite of g-C3N4 and NiCo2S4 materials provides a good bridge for ion transport and more active sites for the electrochemical reaction. The NiCo2S4/g-C3N4 electrodes achieved a specific capacitance of 1229.9 F/g under a current density of 5 A/g and retained 66.24% of the energy storage capability after 2000 cycles.
INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE
(2022)
Article
Engineering, Environmental
Xuan Wang, Haoyu Song, Shenglan Ma, Muhong Li, Gaoxiong He, Mingjiang Xie, Xuefeng Guo
Summary: A template ion-exchange method was used to improve the rate capability of Co-Ni hydroxides in supercapacitors. The resulting binary hydroxides exhibited a well-structured composite with good conductivity. The optimized hydroxide composite showed superior performance in terms of capacitance, energy density, cycling stability, and rate capability.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Chemistry, Physical
Chen Hao, Xiaokun Wang, Xingli Wu, Yaning Guo, Linli Zhu, Xiaohong Wang
Summary: A composite material CCO/CNM combining cotton carbon and metal organic framework was successfully prepared and showed excellent electrochemical properties with high specific capacitance and good cycle stability. The assembled asymmetric supercapacitor exhibited superior energy density and cycling performance, successfully lighting up LED bulbs.
APPLIED SURFACE SCIENCE
(2022)
Article
Nanoscience & Nanotechnology
Jiahui Zhu, Yan Wang, Xubin Zhang, Wangfeng Cai
Summary: The ZnCo2O4@NiCo2S4@PPy core-shell nanosheets material with a special structure formed by MOF-derived ZnCo2O4, NiCo2S4, and PPy shows enhanced capacitive performance, improved contact between electrode and electrolyte, increased active sites, and accelerated electron/ion transfer. The electrode exhibits excellent areal capacitance, specific capacitance, and capacitance retention rate. Additionally, a coin-type hybrid supercapacitor assembled with this material demonstrates a high energy density and good cycling performance.
Article
Energy & Fuels
Yue Chen, Xiao Long, Situo Zou, Mingzhe Yang, Yihe Du, Xiaoqiang Song, Yujun Fu, Junshuai Li, Yali Li, Deyan He
Summary: A high-performance supercapacitor cathode composed of carbon nanotubes and nanosheets is reported, delivering high specific capacitance, good rate performance, and excellent cycling stability. Furthermore, an asymmetric supercapacitor assembled with this cathode shows good cycle performance and high energy density after 10,000 cycles.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Tiantian Jiang, Xiaolu Wang, Hao Zhou, Ramzi Nasser, Dahe Wu, Hao Zhou, Ji-Ming Song
Summary: The combination of electric double-layer and pseudo-capacitive materials can enhance the specific energy and specific capacitance of electrode materials in supercapacitors. In this study, nanocomposites of Lily-based Porous activated Carbon Material (LPCM) loaded with Ni-Co Layered Double Hydroxide (LDH) were prepared using a hydrothermal method. The LPCM@NiCo-LDH-N2H4 electrode exhibited a high specific capacitance of 705C g-1 at 1 A g-1 (577C g-1 at 30 A g-1), three times higher than the LPCM electrode. The assembled LPCM@NiCo-LDH-N2H4//LPCM asymmetric supercapacitor demonstrated excellent specific energy (53.3 Wh kg-1) at 800 W kg-1 with minimal capacitance loss after 10,000 cycles, outperforming other supercapacitor devices. Connecting two asymmetric devices could power a colored snowball and a small LED for over 13 minutes.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Electrical & Electronic
Zihao Zhou, Jinjin Tie, Hua Yang, Gao Cheng, Ming Sun, Lin Yu
Summary: The construction of three-dimensional porous heterogeneous composite electrode materials is an important approach to enhance the performance of supercapacitors. The NiCo2S4/Ni-Co LDH composite material showed excellent electrochemical properties due to its unique porous heterostructure. It demonstrated high specific capacitance, good rate performance, and outstanding cycle stability, making it a promising candidate for high-performance supercapacitors.
JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS
(2021)
Article
Chemistry, Physical
Zhenlin Ma, Rong Zheng, Yu Liu, Yulong Ying, Weidong Shi
Summary: A three-dimensional interconnected network structure combined with Co-Ni-S/CNTs composite spheres was synthesized, showing extraordinary specific capacitance and competitive rate performance in supercapacitors. The hybrid electrode exhibited high energy density and initial capacitance retention after 10,000 cycles, indicating significant contribution to future energy storage.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2021)
Article
Chemistry, Analytical
Avinash A. Kadam, Ganesh D. Saratale, Gajanan S. Ghodake, Rijuta G. Saratale, Asif Shahzad, Verjesh Kumar Magotra, Manu Kumar, Ramasubba Reddy Palem, Jung-Suk Sung
Summary: Monitoring phenolic compounds is crucial in various sectors, and laccase-based biosensing platforms have proven to be effective. However, a detailed account of advancements in laccase immobilization techniques is lacking. This review evaluates the impact of nano-immobilization techniques on laccase biosensing platforms and discusses future developments, including multi-layer laccase electrodes, covalent immobilization routes, electroconductive polymeric matrices, and novel entrapment techniques. This comprehensive assessment provides insights into the feasibility of highly specific laccase biosensors for industrial, medicinal, food, and environmental applications.
Article
Computer Science, Interdisciplinary Applications
Izaz Raouf, Hyewon Lee, Heung Soo Kim
Summary: Prognostic and health management (PHM) is an important field in modern industry, and the rotate vector (RV) reducer is a widely used mechanical component. To detect faults in RV reducer, researchers introduce a novel approach using an embedded electrical current system and machine learning for fault classification. The feasibility of this approach is justified through the improvement of evaluating parameters.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2022)
Article
Mathematics
Muhammad Sohail, Jaehyun Park, Jun Young Kim, Heung Soo Kim, Jaehun Lee
Summary: This passage describes the aim of successful total knee arthroplasty, which is to restore the natural range of motion of the infected joint. However, assigning a perfect coordinate system to the knee joint is a challenge. This study proposes a modified Whiteside's line method for the selection of the optimal TEA.
Article
Chemistry, Physical
K. Karuppasamy, Ranjith Bose, Dhanasekaran Vikraman, Sivalingam Ramesh, Heung Soo Kim, Emad Alhseinat, Akram Alfantazi, Hyun-Seok Kim
Summary: In this study, cost-effective and highly active Co3O4@C nanostructures were designed and developed from two different metal-organic framework ligands. The unique morphologies and excellent surface area of the catalysts resulted in increased active centers for oxygen evolution activity. Among them, Co3O4@C-TMA exhibited favorable Tafel kinetics and small overpotential for oxygen evolution. This study not only designs effective electrodes for oxygen evolution activity, but also proposes various multi-functional catalysts for renewable energy conversion applications.
JOURNAL OF ALLOYS AND COMPOUNDS
(2023)
Article
Chemistry, Multidisciplinary
Sivalingam Ramesh, C. Karthikeyan, A. S. Hajahameed, N. Afsar, Arumugam Sivasamy, Young-Jun Lee, Joo-Hyung Kim, Heung Soo Kim
Summary: Zinc oxide nanoparticles were synthesized using a simple chemical route and characterized by XRD, SEM, and EDS analysis. The addition of 4-dimethylaminobenzaldehyde (4DB) increased the band gap energy of the nanoparticles. HOMO-LUMO analysis was conducted on the synthesized clusters, providing information about their ionization energy, electron affinity, and other thermodynamic properties. The antimicrobial properties of the nanoparticles were studied against different bacteria.
Article
Mathematics
Izaz Raouf, Prashant Kumar, Hyewon Lee, Heung Soo Kim
Summary: With increasing customer demand, industry 4.0 and smart factories have gained significant attention. In these factories, timely fault detection and diagnosis for robotic components are crucial. Previously, traditional fault detection algorithms were used, but they lacked generalization. To address this issue, transfer learning using the VGG16 model was proposed, and experiments were conducted under various working conditions. The proposed approach showed effective fault detection performance and generalization capabilities.
Review
Mathematics
Salman Khalid, Jinwoo Song, Izaz Raouf, Heung Soo Kim
Summary: Thermal power plants (TPPs) are crucial for energy supply, and their safe and efficient operation is a top priority. Advanced fault detection and diagnosis (FDD) techniques have been adopted to minimize maintenance shutdowns and costs. This paper provides a systematic review of advanced FDD methods for TPPs, comparing and analyzing these techniques comprehensively. It discusses relevant FDD strategies, their applications, and emphasizes their significance in sustainable energy development. The review explores recent advancements in intelligent FDD techniques for boilers and turbines in TPPs, and highlights the need for further research and development in this field.
Article
Biology
Muhammad Sohail, Jun Young Kim, Jaehyun Park, Heung Soo Kim, Jaehun Lee
Summary: The use of condyles-based method provides a reliable and efficient way to determine the anatomical points necessary for accurate measurement and implant placement in total knee arthroplasty. This method eliminates the need to register the lateral epicondyle or medial sulcus, improving the accuracy and efficiency of the registration process.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Review
Automation & Control Systems
Prashant Kumar, Izaz Raouf, Heung Soo Kim
Summary: This article provides a comprehensive study of fault prognosis and health management (PHM) strategies in smart factories, including both traditional and deep learning perspectives. The paper also discusses conventional health management methods and the latest trends in the PHM field in smart factories.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Energy & Fuels
B. Thanigai Vetrikarasan, Abhijith R. Nair, T. Karthick, Surendra K. Shinde, Dae-Young Kim, Shilpa N. Sawant, Ajay D. Jagadale
Summary: In this study, A-MnO2 nanoplates were synthesized through co-precipitation and used for flexible asymmetric supercapacitors. The structural, morphological, and electrochemical properties of A-MnO2 were investigated and its optical and electronic properties were studied. The synthesized A-MnO2 showed a specific capacitance of 288.5 F g-1. Various symmetric and asymmetric supercapacitors were fabricated and compared, and the asymmetric A-MnO2//Ti3C2TxMXene supercapacitor exhibited a maximum energy density of 15.5 Wh kg-1 and 86.3% of capacitive retention after 5000 cycles. Furthermore, a flexible A-MnO2//Ti3C2Tx asymmetric supercapacitor was fabricated with high areal energy density of 39.9μWh cm-2 at a power density of 8586μW cm-2. Overall, the co-precipitation method for preparing A-MnO2 shows promise in flexible energy storage applications.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Mathematics
Yeong Rim Noh, Salman Khalid, Heung Soo Kim, Seung-Kyum Choi
Summary: This paper proposes a novel framework for addressing the issue of imbalanced datasets in rotating machine fault diagnosis using a area-metric-based sampling method. The proposed method utilizes continuous wavelet transform and dilated convolutional neural network to improve diagnosis accuracy.
Review
Mathematics
Salman Khalid, Jinwoo Song, Muhammad Muzammil Azad, Muhammad Umar Elahi, Jaehun Lee, Soo-Ho Jo, Heung Soo Kim
Summary: This review paper highlights the critical role of structural prognostics and health management (SPHM) in aircraft maintenance. It compares traditional and modern approaches, evaluates their limitations, and showcases advancements in data-driven and model-based methodologies. The paper explores the effectiveness of machine learning and deep learning algorithms, as well as the potential of model-based approaches. Additionally, it examines the impact of digital twin technology in SPHM through real-life case studies.
Article
Mathematics
Jun Young Kim, Muhammad Sohail, Heung Soo Kim
Summary: Total knee arthroplasty (TKA) is a surgical technique that replaces damaged knee joints with artificial implants. Imageless TKA has greatly improved the accuracy of implant placement and surgical process ease. However, malalignment caused by registration error can lead to increased revision surgeries and failure of the TKA. This study proposes a machine learning-based approach to estimate contact pressure on TKA implants, reducing computational costs and providing reliable estimations.
Review
Mathematics
Prashant Kumar, Salman Khalid, Heung Soo Kim
Summary: The availability of computational power in Prognostics and Health Management (PHM) with deep learning (DL) applications has attracted researchers worldwide. Industrial robots, which consist of rotating machinery, require PHM strategies to minimize downtime. Deep learning has shown its effectiveness in various fields and is rapidly growing in PHM. This paper provides a review of PHM strategies with DL algorithms for industrial robots and their rotating machinery, discussing advancements and challenges associated with current approaches.
Article
Chemistry, Multidisciplinary
Sungjun Kim, Muhammad Muzammil Azad, Jinwoo Song, Heungsoo Kim
Summary: In this study, a solution to the data imbalance problem in laminated composite systems is proposed using a Wasserstein Generative Adversarial Network (WGAN) model with time-series data augmentation. The performance of the WGAN model is validated through fault diagnosis using a One-Dimensional Convolutional Neural Network (1D CNN). The results show that the proposed data augmentation significantly improves the fault diagnosis performance, with increased accuracy, precision, and sensitivity.
APPLIED SCIENCES-BASEL
(2023)
