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Dry basal plane graphene wrappings on spherical nickel-rich oxide layered particles for lithium-ion batteries

Journal of Energy Chemistry 2025年第5期104卷 10-19页

作者： Van-Chuong Ho Thanh N.Huynh Thi Huong Pham Hyun-seung Kim Hun-Gi Jung Ki Jae Kim Seung-Min Oh Young-Jun Kim Junyoung Mun School of Advanced Materials Science and Engineering Sungkyunkwan University SKKU Advanced Institute of Nano Technology (SAINT) Sungkyunkwan University Advanced Batteries Research Center Korea Electronics Technology Institute Energy Storage Research Center Korea Institute of Science and Technology KIST-SKKU Carbon-Neutral Research Center Sungkyunkwan University Department of Energy Science Sungkyunkwan University SKKU Institute of Energy Science and Technology (SIEST) Sungkyunkwan University Battery Cell Development Team 1 Research & Development Division Hyundai Motor Company Department of Nano Engineering Sungkyunkwan University

Particle-to-particle dry graphene coatings on Ni-rich layered oxide materials are proposed for highenergy lithium-ion batteries （LIBs） to mitigate the inherent and engineering challenges related to the electrochemically fragile surfaces,as well as limiting electrode thickness and *** a shear stress-based coating process without supplementary solvent or heat treatment,graphene sheets derived from graphene powder are applied onto the surface of spherical LiNi0.89Co0.055Mn0.055O2（NCM） *** process achieves a coating thickness equivalent to or fewer than 10 layers of graphene and exposes the basal *** graphene-coated material increases particle hardness and mitigates degradation caused by inter-particle pressure,enabling the formation of high-density electrodes without *** the absence of additional carbon-conducting agents for the high-density composite electrode with a density of 4.0 g cm-3,it significantly enhances rate capability,demonstrating more than 5 times improvement by achieving 149.4 mAh g-1at 2 C compared to the bare sample (28.9 mAh g-1).Furthermore,the dry graphene coating enables the high areal capacity of 6.98 mAh *** exposing the basal plane of the graphene coating,the process enhances chemical stability,effectively inhibiting side reactions at the interface and mitigating cycle degradation.

关键词： Basal-plane coating Dry graphene coating High areal capacity High electrical conductivity Particle-to-particle

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IoT cryptography with privacy-preserving ElGamal public key cryptosystem using oppositional artificial flora optimization algorithm

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Multimedia Tools and Applications 2025年第11期84卷 9287-9308页

作者： Paramasivam, Devi Sivaji, Sathyalakshmi Dayanandan, Venkata Subramanian Alqahtani, Abdullah Saleh Department of Computer Science and Engineering Hindustan Institute of Technology and Science Tamil Nadu Chennai India Department of CSE Hindustan Institute of Technology and Science Kelambakam Tamil Nadu Chennai603103 India Department of CSE Velammal Institute of Technology Chennai India Department of Self-Development Skills - Common First Year Deanship King Saud University Riyadh12373 Saudi Arabia

Privacy and security have received significant interest among the research communities Due to the increased exploitation of the Internet of Things (IoT). Since IoT devices gather most of the public data like identity, location, contact numbers, and energy utilization, security, and privacy become crucial. The lack of well-defined IoT-enabled security and privacy schemes will prevent the applicability of the IoT technologies from the client side. Therefore, this paper presents an ElGamal public key cryptosystem (EGPKC) for generating optimal keys utilizing an Oppositional Artificial Flora Optimization (EGPKC-OAFA) technique intended for preserving privacy in IoT. Additionally, the EGPKC approach with an optimum generation of authentication keys is applied on the medium access control (MAC) header for secure authentication. Besides, the optimal key selecting process for EGPKC occurs by employing the OAFA approach which inherits the oppositional-based learning (OBL) concept and classical artificial flora approach. To evaluate the effective analysis of the EGPKC-OAFA algorithm, huge simulations such as Known plaintext attack (KPA), chosen-plaintext attack (CPA), key sensitivity, and correlation coefficient are employed and the result is determined by different feature intervals. Accordingly, KPA and CPA reached the minimum value of 0.0987 and -0.0499 respectively. As a result, the proposed EGPKC-OAFA algorithm obtained superior performance compared to other methods. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Internet of things

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Unveiling the roles of initial phase constituents and phase metastability in hydrogen embrittlement of TRIP-assisted VCrCoFeNi medium-entropy alloys

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材料科学技术（英文版） 2025年第4期207卷 160-176页

作者： Sang Yoon Song Dae Cheol Yang Han-Jin Kim Sang-In Lee Hyeon-Seok Do Byeong-Joo Lee Alireza Zargaran Seok Su Sohn Department of Materials Science and Engineering Korea University 02841 SeoulRepublic of Korea Green Energy Materials Research Team Hyundai Motor Company Uiwang R&D Center 16082 UiwangRepublic of Korea Institue of Advanced Technology Development Hyundai Motor Group 13529 SeongnamRepublic of Korea Department of Materials Science and Engineering Pohang University of Science and Technology 37673 PohangRepublic of Korea Graduate Institute of Ferrous & Energy Materials Technology Pohang University of Science and Technology37673 PohangRepublic of Korea

Medium-entropy alloys(MEAs)that exhibit transformation-induced plasticity(TRIP)from face-centered cubic(FCC)to body-centered cubic(BCC)are considered promising for liquid hydrogen environments due to their remarkable cryogenic ***,studies on hydrogen embrittlement(HE)in BCC-TRIP MEAs have not been conducted,although the TRIP effect and consequent BCC martensite usually deteri-orate HE *** these alloys,initial as-quenched martensite alters hydrogen diffusion and trap behavior,and deformation-induced martensitic transformation(DIMT)provides preferred crack propaga-tion sites,which critically affects HE ***,this study aims to investigate the HE behav-ior of BCC-TRIP MEAs by designing four V10Cr10Co30Fe50-xNix(x=0,1,2,and 3 at％)MEAs,adjusting both the initial phase constituent and phase metastability.A decreased Ni content leads to a reduced fraction and mechanical stability of FCC,which in turn increases HE susceptibility,as determined through electro-chemical hydrogen pre-charging and slow-strain rate tests The permeation test and thermal desorption analysis reveal that the hydrogen diffusivity and content are affected by initial BCC fraction,interconnec-tivity of BCC,and refined *** these initial phase constituents differ between the alloys with FCC-and BCC-dominant initial phase,microstructural factors affecting HE are unveiled discretely among these al-loy groups by correlation of hydrogen-induced crack behavior with hydrogen diffusion and trap *** alloys with an FCC-dominant initial phase,the initial BCC fraction and DIMT initiation rate emerge as critical factors,rather than the extent of *** BCC-dominant alloys,the primary contributor is an increase in the initial BCC fraction,rather than the extent or rate of *** unraveled roles of microstructural factors provide insights into designing HE-resistant BCC-TRIP MEAs.

关键词： Medium-entropy alloys(MEAs) Transformation-induced plasticity(TRIP) Hydrogen embrittlement Hydrogen-induced crack Hydrogen diffusion and trapping

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Wake Homing Torpedo Guidance using a Hierarchical Deep Reinforcement Learning Framework

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IEEE Access 2025年 13卷 72938-72952页

作者： Hwang, Kunchul Kim, Jinwhan Korea Advanced Institute of Science and Technology Robotics Program Daejeon Korea Republic of Principal Researcher Agency for Defense Development Jinhae Korea Republic of Korea Advanced Institute of Science and Technology Department of Mechanical Engineering Daejeon Korea Republic of

This paper proposes a novel Hierarchical Deep Reinforcement Learning (HRL) framework for wake homing torpedo guidance, applying the Discrete Event System Specification (DEVS) formalism to design high-level policies and reward shaping functions. Wake homing torpedo guidance generates course commands to enable the torpedo to follow the wake trajectory of a target ship. When the target ship evades the incoming torpedo, the wake trajectory becomes curved, often causing the torpedo to lose track due to the narrow detection range of the wake detection sensor. This necessitates a sophisticated algorithm to consistently track the target ship, particularly in scenarios where the torpedo exits and re-enters the wake trajectory in noisy environments. While heuristic algorithms can handle typical wake trajectories, developing a robust solution for unknown trajectories remains a significant challenge. To address this, we apply a novel reinforcement learning to develop the guidance logic and compare its performance with a conventional algorithm-based method. The performance and effectiveness of the proposed approach are demonstrated through numerical simulations. © 2013 IEEE.

关键词： Deep reinforcement learning

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Barriers to transition to resource-oriented sanitation in rural Ethiopia

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Environmental science and Pollution Research 2025年第5期32卷 2668-2681页

作者： Abebe, Thomas Ayalew Novotný, Josef Hasman, Jiří Mamo, Biruk Getachew Tucho, Gudina Terefe Department of Environmental Health Sciences and Technology Institute of Health Jimma University Jimma Ethiopia Department of Social Geography and Regional Development Faculty of Science Charles University Prague Czech Republic

Recycling excreta resources through resource-oriented toilet systems (ROTS) holds transformative potential, yet adoption remains limited, especially where benefits could be high. This study aims to understand constraints hindering the adoption of ROTS in one such area in Ethiopia. Based on a survey among 476 households comprising 2393 individuals, we examine the plans to use ROTS and willingness to pay for ROTS and apply structural equation modelling to analyze the drivers of these two outcomes while comparing the explanative power of the extended technology acceptance model, extended theory of planned behaviour, and their combined model. While 40% of households expressed a plan to use ROTS and 20% reported willingness to pay for a subsidized ROTS with a biogas unit, merely 7% revealed both the plan to use and sufficient willingness to pay, highlighting the need to target both these complementary outcomes concurrently. The theory of planned behaviour showed the best explanative power, also revealing that these two outcomes are influenced by partly distinct sets of factors. Findings imply that common efforts to ease objective constraints through subsidies, which incentivize willingness to pay, are necessary but not sufficient for facilitating the adoption of ROTS. To simultaneously enhance intentions to use, it is also recommended to target psychosocial drivers, such as perceived behavioural control and perceived community support, through awareness creation, behaviour change activities, and community engagement techniques. © The Author(s) 2025.

关键词： Recycling

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Estimated Ultimate Recovery and Productivity of Deep Shale Gas Horizontal Wells

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Fluid Dynamics & Materials Processing 2025年第1期21卷 221-232页

作者： Haijie Zhang Haifeng Zhao Ming Jiang Junwei Pu Yuanping Luo Weiming Chen Tongtong Luo Zhiqiang Li Xinan Yu Exploration and Development Department Chongqing Shale Gas Exploration and Development Co.Ltd.Chongqing401120China Oil&Gas Technology Research Institute Changqing Oilfield CompanyXi’an710018China Exploration and Development Research Institute Zhejiang Oilfield CompanyHangzhou310023China Geological Exploration and Development Research Institute Chuanqing Drilling Engineering Co.Ltd.Chengdu610056China School of Petroleum and Natural Gas Engineering Chongqing University of Science and TechnologyChongqing401331China Technology Department Chongqing University of Science and TechnologyChongqing401331China

Pressure control in deep shale gas horizontal wells can reduce the stress sensitivity of hydraulic fractures and improve the estimated ultimate recovery(EUR).In this study,a hydraulic fracture stress sensitivity model is proposed to characterize the effect of pressure drop rate on fracture ***,a production prediction model is introduced accounting for a non-uniform hydraulic fracture conductivity *** results reveal that increasing the fracture conductivity leads to a rapid daily production increase in the early ***,above 0.50 D·cm,a further increase in the fracture conductivity has a limited effect on shale gas production *** initial production is lower under pressure-controlled conditions than that under *** extended pressure control durations,the cumulative production initially increases and then *** a fracture conductivity of 0.10 D·cm,the increase in production output under controlled-pressure conditions is~35%.For representative deep shale gas wells(Southern Sichuan,China),if the pressure drop rate under controlled-pressure conditions is reduced from 0.19 to 0.04 MPa/d,the EUR increase for 5 years of pressure-controlled production is 41.0 million,with an increase percentage of~29%.

关键词： Deep shale gas fracture stress sensitivity pressure-controlled production production prediction

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Sparse section imaging-based deep learning electron tomography of porous carbon supports in proton exchange membrane fuel cells

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Journal of Energy Chemistry 2025年第5期104卷 795-806页

作者： Sang-Hyeok Yang Yerin Jeon Min-Hyoung Jung Sungyong Cho Eun-Byeol Park Daehee Yang Hyo June Lee Yun Sik Kang Chang Hyun Lee Sung-Dae Yim Hu Young Jeong Sungchul Lee Young-Min Kim Department of Energy Science Sungkyunkwan University (SKKU) Advanced Fuel Cell Technology Development Team 2 Hyundai Motor Company Fuel Cell Laboratory Korea Institute of Energy Research (KIER) Energy Engineering Department College of Engineering Dankook University Graduate School of Semiconductor Materials and Devices Engineering Ulsan National Institute of Science and Technology (UNIST) Center for 2D Quantum Heterostructures Institute for Basic Science (IBS)

Understanding the degradation phenomenon of proton exchange membrane fuel cells under electrochemical cycling requires an analysis of the porous carbon support structure. Key factors contributing to this phenomenon include changes in the total porosity and viable surface area for electrochemical reactions. Electron tomography-based serial section imaging using focused ion beam-scanning electron microscopy(FIB-SEM) can elucidate this phenomenon at a nanoscale resolution. However, this highresolution tomographic analysis requires a huge image dataset and manual inputs in rule-based workflows; these requirements are time-consuming and often cause experimental difficulties and unreliable interpretations. We propose a deep learning-empowered approach comprising a two-step automated process for image interpolation and semantic segmentation to address the practical issues encountered in FIB-SEM electron tomography. An optimally trained interpolation model can reduce the image data requirement by more than 95% to analyze the structural degradation of carbon supports after electrochemical cycling while maintaining the reliability obtained in conventional tomographic analysis with several hundred images. Because the subsequent image segmentation model excludes a complicated manual filtering process, the relevant structural parameters can be reliably measured without human bias. Our sparse-section imaging-based deep learning process can allow cost-efficient analysis and reliable measurement of the degree of cycling-induced carbon corrosion.

关键词： Carbon support Deep learning Electron tomography FIB-SEM Fuel cell Membrane electrode assembly

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Toward eco-friendly menstrual products: a comparative life cycle assessment of sanitary pads made from bamboo pulp vs. a conventional one

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Environmental science and Pollution Research 2025年第14期32卷 9050-9067页

作者： Mirzaie, Azita Brandão, Miguel Zarrabi, Hamid Department of Sustainable Development Environment Science & Engineering KTH Royal Institute of Technology Stockholm Sweden KTH Royal Institute of Technology Stockholm Sweden Faculty of Civil Engineering K. N. Toosi University of Technology Tehran Iran

The predominant menstrual products utilized by women are sanitary pads. The majority of disposable sanitary pads are comprised of plastics and bleached wood pulp, often accounting for as much as 90% of their composition by weight. Nevertheless, the overall environmental footprint of production to disposal of disposable sanitary pads is often overlooked due to the cultural stigma associated with menstruation and the lack of chemical information. This study aims to evaluate the potential environmental impact of the life cycle of sanitary pads and provide insights for decision-making and driving improvements in product design and production processes. It is important to note that this study does not aim to assess the health and safety of the products for consumer use. A case study was conducted at Hempur in Stockholm, Sweden, to assess the environmental impacts of a disposable pad made from bamboo pulp and polylactic plastic. The study applied life cycle assessment to compare the life cycle of Hempur disposable sanitary pads with conventional ones made of polymers and bleached wood pulp. The research findings reveal that Hempur sanitary pads made from plant-based materials have lower adverse environmental impacts than the conventional ones considered in the study. The upstream operations of Hempur sanitary pads were identified as the least environmentally friendly phase of the product due to the use of unbleached wood pulp and polylactic plastic, which together account for between 40 and 80% in every impact category, most notably water scarcity and abiotic element depletion. Hempur can improve its environmental performance by switching from coal to hydropower for electricity generation in bamboo pulp manufacturing, leading to a decrease in global warming and acidification. Finally, we recommend alternatives for PLA, and the use of bamboo in the core part of the Hempur sanitary pad should be considered and assessed. © The Author(s) 2025.

关键词： Bleaching

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A Hybrid Approach Integrating Physics-Based Models and Expert-Augmented Neural Networks for Ship Fuel Consumption Prediction

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Journal of Offshore Mechanics and Arctic Engineering 2025年第3期147卷 031408页

作者： Liang, Qin Han, Peihua Vanem, Erik Erik Knutsen, Knut Zhang, Houxiang Group Research & Development Maritime DNV Høvik1363 Norway Department of Ocean Operations and Civil Engineering Norwegian University of Science and Technology Høvik1363 Norway

The International Maritime Organization's recent approval of the 2023 strategy on reduction of greenhouse gas emissions amplifies the pressure on stakeholders to achieve net-zero emissions in shipping by 2050. Considering the anticipated predominance of traditional single-fuel engines into the next decade, due to their high efficiency and economic benefits, the implementation of operational measures stands as the foremost effective method for mitigating emissions and reducing fuel consumption. Accurate fuel consumption prediction is crucial for informed decision-making and operational efficiency. This paper introduces an innovative hybrid model, combining an advanced physics-based model with an expert-augmented neural network, offering superior fuel consumption predictions. Expert knowledge is integrated into the neural network model to enhance its learning capabilities. Performance is validated against DNV Navigator Insight and publicly available fuel consumption reporting data, demonstrating superiority over purely data-driven and physics-based models. This hybrid approach bridges accuracy and scalability for sustainable maritime operations. © 2024 by ASME.

关键词： Ships

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Deciphering origins of hydrocarbon deposits by means of intramolecular carbon isotopes of propane adsorbed on sediments

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Petroleum science 2025年第2期22卷 546-556页

作者： Peng Liu Xiao-Feng Wang Jie Wang Juske Horita Zhi-Yong Wang Ying Lin Rui-Liang Guo Fu-Qi Li Wen-Hui Liu College of Safety Science and Engineering Xi'an University of Science and Technology State Key Laboratory of Continental Dynamics Department of Geology Northwest University Exploration and Development Research Institute of Petro China Tuha Oilfeld Company Department of Geosciences Texas Tech University Department of Earth and Planetary Sciences University of California School of Earth Sciences and Engineering Xi'an Shiyou University

Hydrocarbons are one of the important fluids within the Earth's crust,and different biotic and abitoic processes can generate hydrocarbon during geological *** the sources and sinks of hydrocarbons can help us better understand the carbon cycle of the *** this study,an improved approach of adsorbed hydrocarbons extraction from sediments was *** improved thermal desorption approach,compound-specific isotope analysis and position-specific isotope analysis were integrated to investigate the molecular and intramolecular isotope fractionation between trace hydrocarbon gases within sediments and geological hydrocarbon *** isotopic compositions of the terminal position carbon of propane(δ13Cterminal) serves as a correlation indicator between trace hydrocarbon gases within sediments and geological hydrocarbon *** tight sandstone gas from the Turpan-Hami Basin is a first case study for the application of this novel method to trace hydrocarbon *** results showed that the hydrocarbons in the tight sandstone gases in the study area most likely originated from humic organic matter（type Ⅲ kerogen） at an early mature stage.δ13Cterminalvalues of the thermally desorbed propane gases from different source rocks were distinguishable and the values of the tight sandstone gases significantly overlap with those of the Lower Jurassic Sangonghe source rocks,suggesting their genetic ***,the results provided novel position-specific carbon isotopic constraints on origins of hydrocarbons.

关键词： Hydrocarbon origins Intramolecular isotope distributions Position-specific isotope analysis (PSIA) Propane

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