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design of Edge-Modified hard carbon frameworks with embedded silicon as a high-performance anode for Lithium-Ion batteries

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Journal of Industrial and Engineering Chemistry 2025年

作者： Jang, Hangeol Park, Sang-Hoon Kang, dongWoo Lee, Seungmin Li, Oi Lun Han, Yu-Jin Ulsan Advanced Energy Technology R&D Center Korea Institute of Energy Research Ulsan44776 Cuba School of Materials Science and Engineering Pusan National University Busan46241 Cuba

Si-embedded hard-carbon composites (Si-EHCs) were synthesized as anode materials for high-energy–density lithium-ion batteries. Edge-modified hard carbon (EHC), derived by treating mangrove wood with heat and acid, was combined with Si using a mechanical coating method to form a robust Si-EHC composite structure. This design effectively mitigates the problematic volume expansion Si anodes undergo during cycling and enhances their electrochemical performance by increasing their capacity, charge/discharge rates, and long-term cycling stability. The integration of Si into a hard carbon matrix capable of fast charging/discharging, combined with the optimized carbon coating, offers a promising strategy for addressing key challenges induced by the volume expansion of Si, such as the formation of an unstable solid electrolyte interphase layer. This study highlights the importance of optimizing the design of the composite structure and offers valuable insights for developing high-performance Si/carbon composites with the potential for incorporation into various applications. © 2025 The Author(s)

关键词： Electrolytes

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drive Stabilization of Multi-degree-of-Freedom Maglev Planar Motor Based on Closed Loop System Identification

Drive Stabilization of Multi-Degree-of-Freedom Maglev Planar...

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International Conference on Mechatronics (ICM)

作者： Keigo Nakata Wataru Ohnishi Takafumi Koseki Yuichiro Nakamura Kenji Takahashi Hiroyuki Sekiguchi dept. of Electrical Engineering and Information systems The University of Tokyo Tokyo Japan Advanced Technology R&D Center Mitsubishi Electric Corporation Hyogo Japan

ISBN: (数字)9798331533892

ISBN: (纸本)9798331533908

Magnetic levitation planar motor can move at high speed and with high accuracy, and prevent vibration and noise because of no friction. This technology leads to the application of a transport system that requires high-speed and high-precision movement. However, the design of appropriate control algorithms is essential to achieve stability and high-speed, high-precision control of the maglev planar motor. In this research, we stabilized a maglev planar motor on the basis of system identification. Initially, we designed a whole control system for the movement of the maglev planar motor. Furthermore, we conducted system identification and verified that the maglev planar motor works with the designed control system and evaluated its motion performance. Through experiments, it was confirmed that accurate motion control was possible. This research is expected to be a basis for improving control performance soon.

关键词： Vibrations Accuracy Tracking Noise Position control Stability analysis robustness System identification Planar motors Closed loop systems

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Conversion of N-doped biochar from carotenoid-extracted Tetraselmis suecica and its application to produce supercapacitors

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Journal of Environmental Sciences 2025年第5期151卷 410-423页

作者： Se Hun Lee Kang Hyun Lee Sang-hwa Lee Soo Kweon Lee Ok Sung Jeon Young Pyo Jeon dongpyo Hong Young Joon Yoo Sang Yoon Park Hah Young Yoo Advanced Institute of Convergence Technology(AICT) Seoul National UniversitySuwon 16229Republic of Korea Department of Biotechnology Sangmyung University20 Hongjimun 2-GilJongno-GuSeoul 03016Republic of Korea Department of Bio-Convergence Engineering Dongyang Mirae University445-8Gyeongin-roGuro-guSeoul 08221Republic of Korea Fermentation team Lotte R&D Center210 Magokjungang-RoGangseo-GuSeoul 07594Republic of Korea School of Electronic Engineering Kyonggi UniversityGyeonggi-do 16227Republic of Korea

Microalgae are one of the promising feedstocks for biorefinery,contributing significantly to net-zero emissions through carbon capture and ***,the disposal of microalgal byproducts from the manufacturing process causes additional environmental pollution,thus,a new application strategy is *** this study,the Tetraselmis suecica byproduct from the carotenoid extraction process was carbonized and converted into *** converted biochar was proved to be nitrogen-doped biochar(NdB),up to 4.69%,with a specific surface area of 206.59m^(2)/g andwas used as an electrode for a *** NdB electrode(NdB-E)in half-cell showed a maximum specific capacitance of 191 F/*** a full-cell test,the NdB-E exhibited a high energy density of 7.396 Wh/kg and a high-power density of 18,100 W/kg,and maintained specific capacity of 95.5%after charge and discharge of 10,000 *** conclusion,our study demonstrated that the carotenoid-extracted microalgal byproducts are a useful resource for the supercapacitor *** approach is the first to convert *** into active materials for supercapacitors.

关键词： Microalgae Tetraselmis suecica Carbonization N-doped biochar Supercapacitor

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Hydrogen-Transfer reductive Catalytic depolymerization of the Solid residue from a demonstration Lignocellulosic Ethanol Plant

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ACS Sustainable Chemistry and Engineering 2025年第19期13卷 6936-6945页

作者： Jiang, Yongjie Wang, Yankun Zhang, Honggang Wu, Yilu Su, Changsheng Guo, Bingqian Liu, Yicheng Sun, Mingyuan Li, Chunling Cai, di National Energy R&D Center for Biorefinery Beijing University of Chemical Technology Beijing 100029 China SDIC Advanced Biomass Fuel (Hailun) Co. LTD Heilongjiang Hailun 152300 China College of Life Science and Technology Beijing University of Chemical Technology Beijing 100029 China

In this study, corn stover residue (CSr), rich in lignin, was collected from the outlet waste stream of a lignocellulosic ethanol demonstration plant and was valorized into highly depolymerized bio-oil by hydrogen-transfer reductive catalytic depolymerization (rCd), in which raney Ni served as a catalyst and 2-PrOH served as a hydrogen donor. The primary reactions involved in the hydrogen-transfer rCd of the CSr were investigated. It showed hydrogenolysis, hydrogenation, hydrodeoxygenation, demethoxylation, decarboxylation, and dealkylation were involved in the rCd of CSr. results indicated a highest monomeric lignin yield of 8.31 wt % was obtained on conditions of 220 °C, 500 rpm, and 3 h. This work provides a feasible example for exploiting all the chemical compositions in lignocelluloses, by the combination of the traditional but mature “carbohydrate-first” strategy and the emerging but not yet commercialized “lignin-first” strategy. © 2025 American Chemical Society.

关键词： corn stover hydrogen-transfer reactions lignin-rich residue lignocellulosic ethanol reductive catalytic depolymerization

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Modified Kelvin-Voigt fractional derivative model for viscoelasticity measurement in optical coherence elastography

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Chinese Optics Letters 2025年第1期23卷 93-101页

作者： Chenming Yang Zhongliang Li Nan Nan Teng Liu Yaoli Luo Xiangzhao Wang Advanced Light Source and System R&D Center Department of Advanced Optical and Microelectronic EquipmentShanghai Institute of Optics and Fine MechanicsChinese Academy of SciencesShanghai 201800China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai 200093China State Key Laboratory of Extreme Photonics and Instrumentation College of Optical Science and EngineeringZhejiang UniversityHangzhou 310027China

Optical coherence elastography(OCE)can quantitatively obtain the viscoelasticity of tissues using rheological models and is widely applied to the clinical diagnosis of ***,commonly used rheological models in OCE do not account for the distinctive dependence of high-frequency storage and loss moduli on frequency in tissues,which results in the rheological models failing to accurately measure the viscoelastic properties of *** this paper,a modified Kelvin-Voigt fractional derivative model is presented based on the power-law behavior of soft tissues and the dependence of high-frequency complex shear modulus on frequency in living *** the rheometer and OCE tests,the modified model can provide the prediction of the power-law relationship between the low-frequency shear viscosity and frequency;compared with the Kelvin-Voigt and Kelvin-Voigt fractional derivative models,the modified model has a higher goodness-of-fit(accuracy>96%)for the high-frequency storage moduli of gelatin ***,the proposed model can reduce the root mean square error of fit by approximately 83%for the high-frequency(1–128 kHz)storage modulus of the polydimethylsiloxane phantoms obtained from publicly available ***,the modified model accurately predicts the mechanical properties of biomimetic materials over a wide frequency range,with the potential to more accurately reflect pathological changes in tissues.

关键词： optical coherence tomography optical coherence elastography viscoelasticity rheological model

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Gradient-enhanced Kriging based Parallel Efficient Global Optimization Algorithm and Its Application in Aerodynamic Shape Optimization

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IEEE Access 2025年 13卷 73848-73869页

作者： Fu, Hang Wang, Qingyu Nakashima, Takuji Kawasaki, Asahi Lai, Chenguang Shimizu, Keigo Bale, rahul Tsubokura, Makoto BYD Auto Industry Co. Ltd Institute of Auto Engineering Shenzhen China Hiroshima University Graduate School of Advanced Science and Engineering Higashi Hiroshima739-8527 Japan Chongqing University of Technology College of Vehicle Engineering Chongqing400054 China Mazda Motor Corporation R&D Center Higashi Hiroshima Japan Kobe University Graduate School of System Informatics Hyogo Kobe6578501 Japan RIKEN Center for Computational Science Complex Phenomena Unified Simulation Research Team 7-1-26 Minatojima-minami-machi chuo-ku Hyogo Kobe6500074 Japan

The parallel efficient global optimization (EGO) algorithm was developed to leverage the rapid advancements in high-performance computing. However, conventional parallel EGO algorithm based on ordinary kriging (OK) model faces limitations when applied to complex, nonlinear, and high-dimensional engineering optimization problems, as OK model relies only on sample point locations, restricting the available training information. To further enhance the optimization potential of the parallel EGO algorithm, an improved system that integrates the parallel EGO algorithm with gradient-enhanced kriging (GEK) is proposed. The integration serves two main purposes: on the one hand, GEK provides a more comprehensive representation of the design space, improving the surrogate model's predictive accuracy;on the other hand, as the number of infill points increases, GEK mitigates the unreliability of the pseudo expected improvement (PEI) function, facilitating the efficient search for high-quality global optima. To ensure high performance, various benchmark functions were used to evaluate the impact of different optimizers on the proposed system, ultimately identifying the most effective optimizer. Additionally, optimization tests were conducted on benchmark functions, airfoil aerodynamic optimization, and automotive aerodynamic optimization to compare the proposed system with traditional parallel EGO systems in optimization performance. The results demonstrate that the modified Gaussian bare-bones differential evolution (MGBdE) optimizer consistently accelerated convergence to high-quality solutions in most benchmark functions, achieving the highest average ranking across all tests. Compared to traditional parallel EGO system, the proposed method showed superior convergence speed, solution quality, and computational efficiency. Specifically, for airfoil and automotive aerodynamic optimization, when achieving the target performance improvements of 2.4% and 7.0%, the proposed system r

关键词： Shape optimization

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diverse set of two-qubit gates for spin qubits in semiconductor quantum dots

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Physical review Applied 2025年第2期23卷 024065-024065页

作者： Ming Ni rong-Long Ma Zhen-Zhen Kong Ning Chu Sheng-Kai Zhu Chu Wang Ao-ran Li Wei-Zhu Liao Gang Cao CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei Anhui 230026 China CAS Center for Excellence in Quantum Information and Quantum Physics University of Science and Technology of China Hefei Anhui 230026 China Integrated Circuit Advanced Process R&D Center Institute of Microelectronics Chinese Academy of Sciences Beijing 100029 P. R. China Hefei National Laboratory University of Science and Technology of China Hefei 230088 China

On the path toward large-scale quantum information processing, the ability to implement diverse types of two-qubit gates is preferable for device structure designs and quantum circuit compilations. Here, taking advantage of the inherent Heisenberg interaction between spin qubits, we propose and verify a fast composite two-qubit gate scheme for spin qubits based on semiconductor quantum dots. Theoretical results indicate that the gate scheme facilitates the simultaneous implementation of various types of two-qubit gates, including five types of essential two-qubit gates, iswap-family gates, and fermionic simulation gates. Furthermore, we observe an excellent match between the measured and simulated results, representing the preliminary experimental demonstration of the composite gate scheme. We believe that, with this versatile composite two-qubit gate scheme, the available broad-spectrum two-qubit operations will allow us to efficiently utilize the hardware resources and accelerate the advancement of noisy intermediate-scale quantum computing.

关键词： Semiconductor quantum dots

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Tailoring the electropolymerization of polypyrrole -Ta2O5 nanocomposite coating on NiTi for biomedical applications: Electrochemical and biological responses

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Ceramics International 2025年

作者： Khalil-Allafi, Jafar Marashi-Najafi, Fatemeh Farid, reza Khalili, Vida Research Center for Advanced Materials Faculty of Materials Engineering Sahand University of Technology Tabriz51335-1996 Iran Institut für Werkstoffe Ruhr-Universität Bochum Universitätsstrasse 150 BochumD-44780 Germany

This current investigation focused on the application of electrochemical deposition (ECd) technique to electropolymerize nanocomposite coatings of polypyrrole (PPy)-tantalum pentoxide (Ta2O5) on NiTi substrates. The aim is to assess how Ta2O5 nanoparticles can impact not only the surface characteristics but also the corrosion resistance and biological behavior of polymeric matrix. In this respect, different content of Ta2O5 (3, 5, and 10 wt %) was incorporated into the electrodeposition electrolyte of polymeric matrix. Various methods were applied to characterize the morphology, roughness, wettability, corrosion resistance, and in vitro biological features of obtained nanocomposites. Field emission scanning electron microscopy (FESEM) revealed that Ta2O5 promotes the compactness of the nanocomposites by sealing the open pores of PPy matrix, which impedes the release of toxic Ni ions. This results in enhanced corrosion resistance by preventing the corrosive agents from penetrating to the substrate. The PPy/Ta5 coating showed a reduced Ni ion release and lower corrosion current density (1.07 μ***−2) compared to other specimens. Considering the amount of adsorbed cells on coatings, the enhanced biocompatibility of PPy coating by inclusion of Ta2O5 was interpreted by scrutinizing the surface roughness, wettability and surface charge. The highest cell adhesion on the PPy/Ta10 coating were attributed to its highest roughness (ra = 139.1 ± 25), wetting angle of about 53°, and the negative surface charge. Overall, these outcomes offer a potential technique for improving the biomedical performance of PPy-based nanocomposite coatings on NiTi alloys. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Wetting

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Estimation of Magnetization Curve of Electrical Steel Sheet under Elastic Stress

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IEEJ Transactions on Industry Applications 2025年第5期145卷 377-384页

作者： Mizuta, Takahiro Hirotani, Yu Tanaka, Toshinori Fujiwara, Koji Mitsubishi Electric Corporation Industrial Mechatronics Systems Work 5-1-14 Yada-minami Higashi-ku Aichi Nagoya461-8670 Japan Mitsubishi Electric Corporation Advanced Technology R&D Center 8-1-1 Tsukaguchi-Honmachi Hyogo Amagasaki661-8661 Japan Mitsubishi Electric Corporation Nagoya Works 5-1-14 Yada-minami Higashi-ku Aichi Nagoya461-8670 Japan Doshisha University 1-3 Tatara Miyakodani Kyotanabe Kyoto610-0321 Japan

The magnetic properties of electrical steel sheets, which are used for the magnetic cores of motors, are known to deteriorate with stress. To assess these deteriorations, it is necessary to measure magnetic properties because the degree of deterioration with stress varies depending on the grades of electrical steel sheets. In this report, an estimation method is proposed for the magnetization curve under elastic stress, and its estimation accuracy is verified through magnetic field analysis. © 2025 The Institute of Electrical Engineers of Japan.

关键词： Magnetization

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Accelerating deep Neural Networks with a Low-Cost Lossless Compression

Accelerating Deep Neural Networks with a Low-Cost Lossless C...

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International Conference on Electronics, Information and Communications (ICEIC)

作者： Seongwook Kim Gwangeun Byeon Seungeui Lee Youngseok Bae Seokin Hong Department of Electrical and Computer Engineering Sungkyunkwan University Suwon Korea Advanced R&D Center Hanwha Systems Co. Ltd. Emerging Science and Technology Directorate Agency for Defense Development

ISBN: (数字)9798331510756

ISBN: (纸本)9798331510763

Since deep learning inference involves a significant amount of computations, there have been a lot of efforts to accelerate the inference process by eliminating ineffectual compu-tations. As a solution to this problem, several sparsity-aware deep learning accelerators have been proposed. These accelerators perform the inference on compressed data (filters and feature maps) and dynamically remove the ineffectual multiplications with zero operands. For efficiently handling the compressed data on the accelerators, a simple and effective compression scheme, which encodes the whole data with its nonzero values and their positions, is necessary. However, prior approaches have several shortcomings, such as low compression efficiency and high complexity in compression and decompression hardware. This paper proposes a low-cost compression scheme that can be applied to sparsity-aware deep-learning accelerators. The compression scheme synergistically combines two low-cost compression schemes: Zero-Value Compression (ZVC) and Base-delta-Immediate Compression (BdI). Our experimental evaluation shows that the proposed compression scheme achieves an average compression ratio of 2.26, resulting in 2.33x performance improvement,

关键词： deep learning Filters Artificial neural networks Performance gain Complexity theory Hardware acceleration

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