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Manganese-based oxides cathodes for potassium-ion batteries: a review

Journal of Energy Chemistry 2025年 108卷 1-18页

作者： Yue, Qinggang Xia, Maoting Zhou, Jiang Cheng, Juanjuan Lu, Bingan School of Physics and Electronics Hunan University Hunan Changsha410082 China State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Hunan Changsha410082 China School of Materials Science and Engineering and Key Laboratory of Nonferrous Metal Materials Science and Engineering Ministry of Education Central South University Hunan Changsha410083 China School of Materials Science and Engineering Hunan Provincial Key Lab of Advanced Materials for New Energy Storage and Conversion Hunan University of Science and Technology Hunan Xiangtan411201 China

Potassium-ion batteries (PIBs) were recognized for their natural abundance, high theoretical output voltage, and the availability of commercialized graphite anodes. However, the development of high-performance manganese-based layered oxide cathodes—a leading candidate for PIB systems—has been fundamentally constrained by irreversible phase transitions (PT) during the cycling process, manifesting as severe structural degradation and capacity fading. This review presents a transformative paradigm integrating machine learning (ML) with multiscale characterization to analyse the complex phase transition mechanisms in Mn-based cathodes. Through systematic ML-driven interrogation of structure–property relationships, we establish quantitative descriptors for phase stability and develop predictive models for transition dynamics. Furthermore, we highlight recent breakthroughs in cross-disciplinary approaches, enabling the rational design of PT-mitigated cathode architectures. By consolidating these insights into a unified knowledge framework, this work provides strategic guidelines for developing structurally robust Mn-based cathodes and outlines future research directions for next-generation PIB systems. © 2025 Science Press and Dalian Institute of Chemical Physics, Chinese Academy of Sciences.

关键词： Setting

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Laser-Induced Nanowire Percolation Interlocking for Ultrarobust Soft Electronics

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Nano-Micro Letters 2025年第6期17卷 40-54页

作者： Yeongju Jung Kyung Rok Pyun Sejong Yu Jiyong Ahn Jinsol Kim Jung Jae Park Min Jae Lee Byunghong Lee Daeyeon Won Junhyuk Bang Seung Hwan Ko Applied Nano and Thermal Science Lab Department of Mechanical EngineeringSeoul National University1 Gwanak-roGwanak-guSeoul 08826South Korea Energy Device Research Team Hyundai Motor Company37 Cheoldobangmulgwan-roUiwang-siGyeonggi-do 16082South Korea Institute of Advanced Machinery and Design(SNU-IAMD) Seoul National UniversityGwanak-roGwanak-guSeoul 08826South Korea

Metallic nanowires have served as novel materials for soft electronics due to their outstanding mechanical compliance and electrical ***,weak adhesion and low mechanical robustness of nanowire networks to substrates significantly undermine their reliability,necessitating the use of an insulating protective layer,which greatly limits their ***,we present a versatile and generalized laser-based process that simultaneously achieves strong adhesion and mechanical robustness of nanowire networks on diverse substrates without the need for a protective *** this method,the laser-induced photothermal energy at the interface between the nanowire network and the substrate facilitates the interpenetration of the nanowire network and the polymer matrix,resulting in mechanical interlocking through *** mechanism is broadly applicable across different metallic nanowires and thermoplastic substrates,significantly enhancing its universality in diverse ***,we demonstrated the mechanical robustness of nanowires in reusable wearable physiological sensors on the skin without compromising the performance of the ***,enhanced robustness and electrical conductivity by the laser-induced interlocking enables a stable functionalization of conducting polymers in a wet environment,broadening its application into various electrochemical devices.

关键词： Nanowire percolation network Laser processing Mechanical interlocking Functionalization Conducting polymer

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3D-Printed Stainless Steel Electrodes for Advancing Mems Microbial Fuel Cells Toward Sustainable on-chip Energy 38

3D-Printed Stainless Steel Electrodes for Advancing Mems Mic...

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38th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2025

作者： Elhadad, Anwar Li, Guangfa Yang, Jiaqi Liu, Dehao Choi, Seokheun State University of New York at Binghamton Integrated Computational Materials Design Lab Department of Mechanical Engineering BinghamtonNY United States State University of New York at Binghamton Bioelectronics & Microsystems Laboratory Department of Electrical & Computer Engineering BinghamtonNY United States State University of New York at Binghamton Center for Research in Advanced Sensing Technologies and Environmental Sustainability BinghamtonNY United States

ISBN: (纸本)9798331508890

This study introduces a stainless steel microbial anode fabricated via advanced laser powder bed fusion, marking a transformative step in microbial fuel cell (MFC) technology. By leveraging this cutting-edge metal 3D printing approach, we achieve a 3D microporous structure with superior electrical conductivity, outstanding corrosion resistance in aquatic environments, robust mechanical strength, and adaptability for surface modification - essential attributes for sustainable, high-performance MFCs. The assembled MFC demonstrates unparalleled power output, along with exceptional durability and stability over multiple cycles, outperforming existing MFCs based on alternative 3D-printed substrates. This advancement not only solidifies the role of MFCs as a sustainable energy solution for powering on-chip electronics but also opens new avenues for scalable, cost-effective bioelectronic systems that align with the demands of next-generation technology. © 2025 IEEE.

关键词： Corrosion resistance

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Low-Temperature Cu/Cu Hydrophilic Bonding Using Ar Ion Beam Activation

Low-Temperature Cu/Cu Hydrophilic Bonding Using Ar Ion Beam ...

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International Conference on Electronics Packaging (ICEP)

作者： J. Wang K. Takeuchi M. Kubota M. Kawano T. Takagi M. Niwa T. Kuroda T. Suga Systems Design Lab The University of Tokyo Tokyo Japan Research Association for Advanced Systems Tokyo Japan Collaborative Research Center Meisei University Tokyo Japan Graduate School of Engineering Tohoku University Sendai Japan

ISBN: (数字)9784991191190

ISBN: (纸本)9798331514747

With Ar ion beam activation, 4-inch Cu wafers were bonded by hydrophilic bonding at 200°C. The effects of the bonding atmosphere and post-annealing temperature on the Cu/Cu bonding were investigated. For all bonded Cu/Cu pairs, extremely strong bonding with a bond strength of over 7 J/m 2 was achieved. When bonding was conducted in vacuum, an oxide-free interface was obtained. However, at the interface bonded in air, oxide nodules were observed. With an increase in post-annealing temperature from 200°C to 350 ºC, most of oxide nodules disappeared, and small voids caused by the disappearance of oxide nodules coalesced.

关键词： Wafer bonding Asia Atmosphere Bonding Ion beams Electronics packaging

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Ductilization of 2.6-GPa alloys via short-range ordered interfaces and supranano precipitates

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Science (New York, N.Y.) 2025年第6732期387卷 401-406页

作者： Yan, Yong-Qiang Cha, Wen-Hao Liu, Sida Ma, Yan Luan, Jun-Hua Rao, Ziyuan Liu, Chang Shan, Zhi-Wei Lu, Jian Wu, Ge Center for Advancing Materials Performance from the Nanoscale (CAMP-Nano) Hysitron Applied Research Center in China (HARCC) and Center for Alloy Innovation and Design (CAID) State Key Laboratory for Mechanical Behavior of Materials Xi'an Jiaotong University Xi'an China Laboratory for Multiscale Mechanics and Medical Science SV LAB School of Aerospace Xi'an Jiaotong University Xi'an China Faculty of Georesources and Materials Engineering RWTH Aachen University Aachen Germany Department of Materials Science and Engineering Delft University of Technology Delft Netherlands Inter-University 3D Atom Probe Tomography Unit Department of Mechanical Engineering City University of Hong Kong Hong Kong China Max Planck Institute for Sustainable Materials Düsseldorf Germany National Engineering Research Center of Light Alloy Net Forming Shanghai Jiao Tong University Shanghai China Centre for Advanced Structural Materials Department of Materials Science and Engineering City University of Hong Kong Hong Kong China

Higher strength and higher ductility are desirable for structural materials. However, ultrastrong alloys inevitably show decreased strain-hardening capacity, limiting their uniform elongation. We present a supranano (<10 nanometers) and short-range ordering design for grain interiors and grain boundary regions, respectively, in fine-grained alloys based on vanadium, cobalt, and nickel, with additions of tungsten, copper, aluminum, and boron. The pronounced grain boundary-related strengthening and ductilization mechanism is realized through segregation of the short-range ordering near the grain boundary. Furthermore, the supranano ordering with a larger size has an enhanced pinning effect for dislocations and stacking faults, multiplied and accumulated in grain interiors during plastic deformation. These mechanisms promote continuously increased flow stress until fracture of the alloy at 10% strain with 2.6-gigapascal tensile stress.

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Multi-UAV Trajectory Generation for Fresh Data Collection: A Diffusion-based Reinforcement Learning Approach

Multi-UAV Trajectory Generation for Fresh Data Collection: A...

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IEEE Conference on Wireless Communications and Networking

作者： Ziping Yu Meng Xiao Yijie Wang Zhongliang Zhao Xianbin Cao Yang Liu Tony Q.S. Quek School of Electronic and Information Engineering Beihang University Beijing China State Key Laboratory of CNS/ATM Beijing China Department of Strategic and Advanced Interdisciplinary Research Peng Cheng Laboratory Shenzhen China Nanyang Technological University Singapore Singapore University of Technology and Design Singapore Yonsei Frontier Lab Yonsei University South Korea

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

This paper investigates the trajectory generation problem for multi-unmanned aerial vehicle (UAV)-enabled uplink data collection. Specifically, we minimize the age-of-information (AoI) and maximize the coverage as well as the amount of collected data by planning the multi- UAV trajectory considering the energy consumption and collisions constraints. Motivated by diffusion models' exceptional generative capabilities, we propose a multi-UAV trajectory generation (MUTG) solution based on soft actor-critic and diffusion to solve the optimization problem. A diffusion model-based predictor is designed to obtain the action policy, where a hierarchical graph-transformer network is developed to extract entities' interactive information as a conditional guide for the diffusion. Numerical results verify the effectiveness and superiority compared with benchmark schemes in terms of average AoI, user coverage and data collection ratio.

关键词： Reinforcement learning Data collection Benchmark testing Predictive models Information age Autonomous aerial vehicles Transformers Trajectory Data mining Uplink

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Global Universal Scaling and Ultra-Small Parameterization in Machine Learning Interatomic Potentials with Super-Linearity

arXiv

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arXiv 2025年

作者： Hu, Yanxiao Sheng, Ye Huang, Jing Xu, Xiaoxin Yang, Yuyan Zhang, Mingqiang Wu, Yabei Ye, Caichao Yang, Jiong Zhang, Wenqing Department of Materials Science and Engineering Southern University of Science and Technology Guangdong Shenzhen518055 China Materials Genome Institute Shanghai Engineering Research Center for Integrated Circuits and Advanced Display Materials Shanghai University Shanghai200444 China Institute of Innovative Materials Guangdong Provincial Key Lab for Computational Science and Materials Design Southern University of Science and Technology Guangdong Shenzhen518055 China

Using machine learning (ML) to construct interatomic interactions and thus potential energy surface (PES) has become a common strategy for materials design and simulations. However, those current models of machine learning interatomic potential (MLIP) provide no relevant physical constrains, and thus may owe intrinsic out-of-domain difficulty which underlies the challenges of model generalizability and physical scalability. Here, by incorporating physics-informed Universal-Scaling law and nonlinearity-embedded interaction function, we develop a Super-linear MLIP with both Ultra-Small parameterization and greatly expanded expressive capability, named SUS2-MLIP. Due to the global scaling rooting in universal equation of state (UEOS), SUS2-MLIP not only has significantly-reduced parameters by decoupling the element space from coordinate space, but also naturally outcomes the out-of-domain difficulty and endows the potentials with inherent generalizability and scalability even with relatively small training dataset. The nonlinearity-enbeding transformation for interaction function expands the expressive capability and make the potentials super-linear. The SUS2-MLIP outperforms the state-of-the-art MLIP models with its exceptional computational efficiency especially for multiple-element materials and physical scalability in property prediction. This work not only presents a highly-efficient universal MLIP model but also sheds light on incorporating physical constraints into artificial-intelligence-aided materials simulation. Copyright © 2025, The Authors. All rights reserved.

关键词： Scalability

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3D-Printed Stainless Steel Electrodes for Advancing Mems Microbial Fuel Cells Toward Sustainable on-chip Energy

3D-Printed Stainless Steel Electrodes for Advancing Mems Mic...

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IEEE International Conference on Micro Electro Mechanical Systems

作者： Anwar Elhadad Guangfa Li Jiaqi Yang Dehao Liu Seokheun Choi Department of Electrical & Computer Engineering Bioelectronics & Microsystems Laboratory State University of New York at Binghamton Binghamton New York USA Department of Mechanical Engineering Integrated Computational Materials Design Lab State University of New York at Binghamton Binghamton New York USA Center for Research in Advanced Sensing Technologies and Environmental Sustainability State University of New York at Binghamton Binghamton New York USA

ISBN: (数字)9798331508890

ISBN: (纸本)9798331508906

This study introduces a stainless steel microbial anode fabricated via advanced laser powder bed fusion, marking a transformative step in microbial fuel cell (MFC) technology. By leveraging this cutting-edge metal 3D printing approach, we achieve a 3D microporous structure with superior electrical conductivity, outstanding corrosion resistance in aquatic environments, robust mechanical strength, and adaptability for surface modification—essential attributes for sustainable, high-performance MFCs. The assembled MFC demonstrates unparalleled power output, along with exceptional durability and stability over multiple cycles, outperforming existing MFCs based on alternative 3D-printed substrates. This advancement not only solidifies the role of MFCs as a sustainable energy solution for powering on-chip electronics but also opens new avenues for scalable, cost-effective bioelectronic systems that align with the demands of next-generation technology.

关键词： Powders Catalysts Fuel cells Laser stability Three-dimensional printing System-on-chip Steel Anodes Laser fusion Surface treatment

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Wireless Device Connection Problems and design Solutions

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Chinese Journal of Mechanical engineering 2016年第6期29卷 1145-1155页

作者： SONG Ji-Won NORMAN Donald NAM Tek-Jin QIN Shengfeng College of Engineering Design and Physical Sciences Brunel University London The Design Lab University of California Department of Industrial Design Korea Advanced Institute of Science and Technology Department of Design Northumbria University

Users, especially the non-expert users, commonly experience problems when connecting multiple devices with interoperability. While studies on multiple device connections are mostly concentrated on spontaneous device association techniques with a focus on security aspects, the research on user interaction for device connection is still limited. More research into understanding people is needed for designers to devise usable techniques. This research applies the Research-through-design method and studies the non-expert users＇ interactions in establishing wireless connections between devices. The ＂Learning from Examples＂ concept is adopted to develop a study focus line by learning from the expert users＇ interaction with devices. This focus line is then used for guiding researchers to explore the non-expert users＇ difficulties at each stage of the focus line. Finally, the Research-through-design approach is used to understand the users＇ difficulties, gain insights to design problems and suggest usable solutions. When connecting a device, the user is required to manage not only the device＇s functionality but also the interaction between devices. Based on learning from failures, an important insight is found that the existing design approach to improve single-device interaction issues, such as improvements to graphical user interfaces or computer guidance, cannot help users to handle problems between multiple devices. This study finally proposes a desirable user-device interaction in which images of two devices function together with a system image to provide the user with feedback on the status of the connection, which allows them to infer any required actions.

关键词： wireless connection device association user-multiple device interaction smart production system Research through design learning from examples

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High‑Defect‑Density Graphite for Superior‑Performance Aluminum‑Ion Batteries with Ultra‑Fast Charging and Stable Long Life

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Nano-Micro Letters 2021年第11期13卷 168-189页

作者： Jisu Kim Michael Ruby Raj Gibaek Lee Advanced Energy Materials Design Lab School of Chemical EngineeringYeungnam UniversityGyeongsan 38541Republic of Korea

Rechargeable aluminum-ion batteries(AIBs)are a new generation of low-cost and large-scale electrical energy storage ***,AIBs suffer from a lack of reliable cathode materials with insufficient intercalation sites,poor ion-conducting channels,and poor diffusion dynamics of large chloroaluminate anions(AlCl4−and Al2Cl7−).To address these issues,surfacemodified graphitic carbon materials[i.e.,acidtreated expanded graphite(AEG)and base-etched graphite(BEG)]are developed as novel cathode materials for ultra-fast chargeable *** has more turbostratically ordered structure covered with abundant micro-to nano-sized pores on the surface structure and expanded interlayer distance(d002=0.3371 nm)realized by surface treatment of pristine graphite with acidic media,which can be accelerated the diffusion dynamics and efficient AlCl4−ions(de)-intercalation *** AIB system employing AEG exhibits a specific capacity of 88.6 mAh g^(−1)(4 A g^(−1))and~80 mAh g^(−1) at an ultra-high current rate of 10 A g^(−1)(~99.1%over 10,000 cycles).BEG treated with KOH solution possesses the turbostratically disordered structure with high density of defective sites and largely expanded d-spacing(d002=0.3384 nm)for attracting and uptaking more AlCl4−ions with relatively shorter penetration ***,the AIB system based on the BEG cathode delivers a high specific capacity of 110 mAh g^(−1)(4 A g^(−1))and~91 mAh g^(−1)(~99.9%over 10,000 cycles at 10 A g^(−1)).Moreover,the BEG cell has high energy and power densities of 247 Wh kg^(−1) and 44.5 kW kg^(−1).This performance is one of the best among the AIB graphitic carbon materials reported for chloroaluminate anions storage *** finding provides great significance for the further development of rechargeable AIBs with high energy,high power density,and exceptionally long life.

关键词： Surface modification Etched graphite Cathode materials Energy storage Aluminum-ion batteries

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