Article
Chemistry, Physical
Pengfei Zhu, Zhen Wu, Jing Yao, Leilei Guo, Hongli Yan, Serge Nyallang Nyamsi, Sandra Kurko, Fusheng Yang, Zaoxiao Zhang
Summary: A two dimensional SOFC multi-physical field model is established to investigate the performance of SOFC using biomass gasification syngas as fuel. The results show that the SOFC fueled by syngas produced from gasification of biomass has the best performance, with peak power density increasing with operating temperature.
JOURNAL OF POWER SOURCES
(2021)
Article
Chemistry, Physical
Yuqing Li, Linjing Wang, Yuchen Gu, Bowen Xing, Zhenhua Chu, Haibo Huo, Jun Yang, Yang Wang, Jingxiang Xu
Summary: This study develops a numerical model to investigate the heat and mass transfer processes of methane steam direct internal reforming in double-sided cathodes SOFC. Parametric simulations reveal the effects of operating voltage, inlet temperature, and S/C ratio on DSC performance, and the impact of non-uniform distribution on physical fields. The study provides insights into improving the performance of SOFC with a mixture of steam and methane.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Thermodynamics
Dongyoung Yoon, Jiyoung Kim, Dong Hwan Kim, Jongsup Hong
Summary: This study investigates the effects of key operating conditions on the internal phenomena and local thermodynamic states of a commercial-scale solid oxide fuel cell (SOFC) stack. Results show that increasing the air inlet temperature improves the uniformity of in-plane temperature distribution but deteriorates the uniformity of current density distribution. Air utilization and air inlet temperature have a similar effect on local thermodynamic states. Increasing the external reforming rate exacerbates the overall distribution of local thermodynamic states. The operating current density has the greatest influence on the in-plane temperature and current density distribution.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Thermodynamics
Changkun Hao, Bingguo Zhao, Abdellah Essaghouri, Yuping Qian, Weilin Zhuge, Yangjun Zhang, Zezhi Zeng
Summary: In this study, a reduced-order electrochemical model is developed to predict the temperature distributions in a kilowatt-class tubular solid oxide fuel cell stack. The model can express the current density as a function of operating potential, concentration, and temperature, reducing the computational cost. The study also finds that flow characteristics affect the temperature uniformity among cells in the stack.
APPLIED THERMAL ENGINEERING
(2023)
Article
Environmental Sciences
Swathi Murthy, Cristian Picioreanu, Michael Kuehl
Summary: Reef building corals have complex structures to maximize photosynthesis while minimizing damage and stress. A multiphysics modeling approach was used to simulate the internal environment of corals, including light, temperature, and oxygen distribution. The model results were consistent with spatial measurements, providing insights into the effect of coral morphology and light scattering on the coral's internal environment.
FRONTIERS IN MARINE SCIENCE
(2023)
Article
Chemistry, Physical
Samuel Koomson, Choong-Gon Lee
Summary: This work investigates the reaction characteristics of the anode and cathode by overpotential analyses in 100 cm2 class planar anode-supported SOFCs. The anodic overpotential is mainly caused by mass transfer-induced overpotentials of H2 and H2O species, while the cathodic overpotential is mainly caused by a deficiency of O2 species in the gas phase. Furthermore, gas flow rate and utilization are found to have significant effects on both anodic and cathodic overpotentials, indicating the importance of gas-phase mass transfer.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Thermodynamics
Fangzhou Li, Jie Feng, Huiyan Zhang, Wen-Ying Li
Summary: The study investigates the mesoscale solid fuel pyrolysis behavior using a one-dimensional nonstationary model. The model incorporates a modified multistep kinetic model (MSM) and a series of heat and mass conservation equations, as well as a dusty gas model (DGM). The coupling effects between intraparticle transport processes and transient devolatilization kinetics are examined. The results reveal the emergence of notable multiphysical fields within lignite particles during pyrolysis, and the variation in volatiles transfer direction and mechanism. These factors significantly affect secondary reactions.
APPLIED THERMAL ENGINEERING
(2023)
Article
Electrochemistry
N. Alhazmi, Ghzzai Almutairi, Feraih Alenazey, Bandar AlOtaibi
Summary: A solid oxide fuel cell (SOFC) is an energy converter device that directly converts the fuel's chemical energy into thermal and electrical energies. The performance of a SOFC is sensitive to the operating conditions, which indicates the need to control the operating parameters. The study found that the current density of the button SOFC increased significantly with increasing operating temperature, but less sensitivity was found with varying oxygen and hydrogen flow rates at the same average voltage.
ELECTROCHIMICA ACTA
(2021)
Article
Mechanics
Ju'an Huang, Zhiyuan Li, Na Li, Cheng Bao, Daili Feng, Zeyi Jiang, Xinxin Zhang
Summary: The new incompressible LB model proposed for ideal gases in solid oxide fuel cells shows better consistency in predicting concentration overpotentials. Comparison with experimental data and other computations demonstrates the accuracy and reliability of our LB model.
Article
Thermodynamics
Jiyoung Kim, Dong Hwan Kim, Wooseok Lee, Sanghyeok Lee, Jongsup Hong
Summary: The study introduces a new interconnect design to improve the thermal balance of SOFC stacks, reducing temperature differentials and enhancing heat transfer efficiency by decreasing horizontal thermal resistance. The design improves both horizontal and vertical temperature differentials, potentially enhancing long-term durability.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Thermodynamics
Zezhi Zeng, Bingguo Zhao, Changkun Hao, Abdellah Essaghouri, Yuping Qian, Weilin Zhuge, Yuqing Wang, Yixiang Shi, Yangjun Zhang
Summary: This study investigates the influence of enhanced exothermic electrochemical reactions on the temperature distributions in a counterflow tubular solid oxide fuel cell with inserts through numerical simulations. The results show that the radial flow in the fuel channel can improve the power density but also increase the maximum cell temperature gradient. Furthermore, increasing the inlet hydrogen mass flow rates can further enhance the power density improvements and the maximum cell temperature gradients, while increasing the inlet methane flow rate can adversely affect the fuel cell performance.
APPLIED THERMAL ENGINEERING
(2023)
Article
Chemistry, Physical
Di Yang, Gang Chen, Hailiang Liu, Linlin Zhang, Yang He, Xuebai Zhang, Kai Yu, Shujiang Geng, Ying Li
Summary: The study found that the NCAL cathode has better electrochemical performance at 550 degrees C, especially when used in a composite with GDC with a mass ratio of 8/2. High temperature sintering can decrease the performance of the composite cathode, while the high oxygen vacancy concentration at the NCAL-Li2CO3/GDC interfaces enhances oxygen ion conductivity and lowers the activation energy for reactions.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Thermodynamics
Junhong Hao, Tong Hao, Zening Lu, Feng Hong, Xiaoze Du, Zhihua Ge
Summary: This study utilized a standard thermal resistance model to analyze the heat transfer performance of solid oxide fuel cell cogeneration systems. It introduced an equivalent electric circuit to represent the internal electrochemical process and proposed a cross-scale modeling method for the overall system from internal processes to external heat exchangers. The simulation results showed a total energy utilization rate of 79.12% and provided optimal operation parameters for maximizing net power generation.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Engineering, Chemical
Juntao Gao, Yingying Liu, Tian Xia, Liping Sun, Hui Zhao, Bo Wei, Qiang Li
Summary: In this study, Sr0.5Bi0.4Ca0.1FeO3-delta (SBCF) and Sr0.5Bi0.5FeO3-delta (SBF) oxides were investigated as oxygen electrodes for solid oxide fuel cells (SOFCs). SBCF showed lower polarization resistance and better chemical stability, suggesting its potential as an electrode for SOFCs.
SEPARATION AND PURIFICATION TECHNOLOGY
(2023)
Article
Materials Science, Ceramics
Tian Song, Tian Xia, Liping Sun, Qiang Li, Hui Zhao
Summary: Solid oxide fuel cells (SOFCs) have been widely applied in energy conversion field due to their high efficiency, low cost and pollution, and flexible fuel choice. However, the sluggish oxygen reduction reaction (ORR) rate is a challenge for the development of SOFCs. In this study, a series of Ruddlesden-Popper-type Sr2.7Pr0.3Fe2-xCuxO7-delta (SPFCx) oxides were synthesized and evaluated as potential SOFCs cathodes. Among them, Sr2.7Pr0.3Fe1.9Cu0.1O7-delta (SPFC10) showed the best electrocatalysis performance and improved oxygen reduction kinetics. Cu-doping was found to enhance oxygen transport kinetics, increase oxygen vacancy concentration, and improve electrocatalysis performance.
CERAMICS INTERNATIONAL
(2023)
Article
Mechanics
Kai Fukami, Koji Fukagata, Kunihiko Taira
Summary: The proposed method uses supervised machine learning techniques to reconstruct high-resolution turbulent flows from coarse data, accurately reproducing flow fields and tracking temporal evolution, demonstrating strong capability and robustness.
JOURNAL OF FLUID MECHANICS
(2021)
Article
Mechanics
Taichi Nakamura, Kai Fukami, Kazuto Hasegawa, Yusuke Nabae, Koji Fukagata
Summary: The applicability of machine learning based reduced order model (ML-ROM) to three-dimensional complex flows is investigated. The combination of CNN-AE and LSTM in the current ML-ROM successfully reproduces turbulent flow fields and conducts statistical analysis.
Article
Engineering, Aerospace
Masahiro Ohashi, Koji Fukagata, Naoko Tokugawa
Summary: The study investigates the sensitivities of drag and lift to body forces and blowing/suction through a continuous adjoint method. It finds that effective control can significantly improve the lift-to-drag ratio by reducing pressure drag and enhancing pressure lift. The analysis also shows that control amplitude, Reynolds number, and angle of attack can influence the sensitivities.
Article
Mechanics
Kai Fukami, Takaaki Murata, Kai Zhang, Koji Fukagata
Summary: The study focuses on sparse identification of nonlinear dynamics (SINDy) for low-dimensional complex flow phenomena. By utilizing a convolutional neural network-based autoencoder (CNN-AE) to map high-dimensional dynamics into a low-dimensional latent space, and combining it with a CNN decoder to remap the low-dimensional vector, the study successfully reproduces high-dimensional flow fields through SINDy and CNN-SINDy modeling.
JOURNAL OF FLUID MECHANICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Y. Morita, S. Rezaeiravesh, N. Tabatabaei, R. Vinuesa, K. Fukagata, P. Schlatter
Summary: The study demonstrates the flexibility, efficiency, and versatility of the BO-GPR approach in CFD applications, highlighting advantages such as diverse optimization problems, independence of the approach, ease of using different CFD solvers, and requiring a relatively small number of flow simulations.
JOURNAL OF COMPUTATIONAL PHYSICS
(2022)
Article
Computer Science, Artificial Intelligence
Masaki Morimoto, Kai Fukami, Kai Zhang, Koji Fukagata
Summary: This paper explores techniques to promote the practical use of neural networks in fluid flow estimation, focusing on challenges such as interpretability of machine-learned results, bulking out of training data, and generalizability of neural networks. The study demonstrates methods to enhance interpretability and generalizability, as well as techniques to increase training data for fluid flow problems, indicating promising results for applications of machine learning in fluid dynamics.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Geochemistry & Geophysics
Daisuke Hiruma, Ryo Onishi, Keiko Takahashi, Koji Fukagata
Summary: By strategically using air conditioners, storms can be modulated downstream, reducing rainfall and mitigating flood disasters. The study reveals that removing a significant amount of moisture from a city can significantly reduce rainfall accumulation, highlighting the potential for coupling weather with the economy and promoting the development of a sustainable society.
ATMOSPHERIC SCIENCE LETTERS
(2022)
Article
Multidisciplinary Sciences
Taichi Nakamura, Kai Fukami, Koji Fukagata
Summary: This paper investigates the fundamental differences between neural networks and linear stochastic estimation in fluid-flow regressions. Through comparisons and analyses of two fluid-flow problems, the study demonstrates that neural networks outperform linear methods due to the presence of nonlinear activation functions.
SCIENTIFIC REPORTS
(2022)
Article
Thermodynamics
Yusuke Nabae, Koji Fukagata
Summary: Direct numerical simulation of a fully developed turbulent channel flow controlled using a streamwise traveling wave reveals that the spanwise variation of the wave affects the drag reduction effect, with larger wavelengths resulting in more significant reductions. The flow field becomes more uniform in the streamwise direction but less uniform in the spanwise direction with the wave-machine-like traveling wave compared to the spanwise-uniform traveling wave.
FLOW TURBULENCE AND COMBUSTION
(2022)
Article
Thermodynamics
Taichi Nakamura, Koji Fukagata
Summary: This study focuses on the capability of neural networks in fluid flow estimation problems, with an emphasis on robust training. Utilizing a convolutional neural network, the study investigates the practicality of the models in estimating velocity fields from sectional sensor measurements and examines the effectiveness of various training approaches for robustness against sensor limitations. The findings from this study can potentially contribute to the development of practical machine learning techniques in fluid flow modeling.
INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW
(2022)
Article
Mathematics, Applied
Masaki Morimoto, Kai Fukami, Romit Maulik, Ricardo Vinuesa, Koji Fukagata
Summary: The paper utilizes Gaussian stochastic weight averaging (SWAG) to assess the epistemic uncertainty in neural-network-based function approximation for fluid flows. With SWAG, multiple models with different combinations of weights can be created to obtain ensemble predictions. The average of the ensemble represents the mean estimation, while the standard deviation can be used to construct confidence intervals for uncertainty quantification. The method is applicable for various complex datasets and network architectures. The authors demonstrate its applicability for different types of neural networks and find that SWAG provides physically-interpretable confidence-interval estimates.
PHYSICA D-NONLINEAR PHENOMENA
(2022)
Article
Thermodynamics
Marco Atzori, Fermin Mallor, Ramon Pozuelo, Koji Fukagata, Ricardo Vinuesa, Philipp Schlatter
Summary: For adverse-pressure-gradient turbulent boundary layers, the aggregation of different skin-friction contributions still presents challenges due to the significant in-homogeneity in the flow. In this study, a new formulation of the identity derived from the convective form of the governing equations is proposed, considering wall-tangential convection and pressure gradient together. This formulation allows for the identification of different regimes and provides a more effective description of control effects.
INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW
(2023)
Article
Computer Science, Artificial Intelligence
Kai Fukami, Romit Maulik, Nesar Ramachandra, Koji Fukagata, Kunihiko Taira
Summary: This text discusses the challenges of accurately reconstructing global time-evolving fields using a data-driven spatial field recovery technique and structured grid-based deep learning approach from a limited number of sensors. By leveraging Voronoi tessellation to handle sensors at arbitrary positions, it overcomes major limitations of existing reconstruction methods and allows for handling moving sensors.
NATURE MACHINE INTELLIGENCE
(2021)
Article
Mechanics
Mehdi Badri Ghomizad, Hosnieh Kor, Koji Fukagata
Summary: A versatile and accurate structured adaptive mesh refinement (S-AMR) strategy is developed for incompressible fluid-structure interaction (FSI) simulations, featuring nested blocks of different refinement levels and novel techniques for data transfer and mass conservation. The method demonstrates robustness and accuracy in handling complex test cases and simulation-driven mesh adaptivity.
JOURNAL OF FLUID SCIENCE AND TECHNOLOGY
(2021)
Article
Mechanics
Mehdi Badri Ghomizad, Hosnieh Kor, Koji Fukagata
Summary: The proposed sharp interface direct-forcing immersed boundary method utilizes the Moving Least Square approximation for incompressible fluid flows with fixed and moving boundaries. By employing a two-step predictor-corrector method to mitigate numerical oscillation, the method is able to handle complex moving problems accurately. The approach shows potential for versatile interpolation and sharp boundary conditions, demonstrating effectiveness in fluid-structure interaction problems.
JOURNAL OF FLUID SCIENCE AND TECHNOLOGY
(2021)
Article
Chemistry, Physical
Tianyu Chen, Zhibin Lu, Guangjin Zeng, Yongmin Xie, Jie Xiao, Zhifeng Xu
Summary: The study introduces a high-performance LSGM electrolyte-supported tubular DC-SOFC stack for portable applications, which shows great potential in developing into high-performing, efficient, and environmentally friendly portable power sources for distributed applications.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Wenbin Tong, Yili Chen, Shijie Gong, Shaokun Zhu, Jie Tian, Jiaqian Qin, Wenyong Chen, Shuanghong Chen
Summary: In this study, a three-dimensional porous NiO interface layer with enhanced anode dynamics is fabricated, forming a Schottky contact with the zinc substrate, allowing rapid and uniform zinc plating both inside and below the interface layer. The resulting NiO@Zn exhibits exceptional stability and high capacity retention.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Yafeng Bai, Kaidi Li, Liying Wang, Yang Gao, Xuesong Li, Xijia Yang, Wei Lu
Summary: In this study, a flexible zinc ion supercapacitor with gel electrolytes, porous alpha-MnO2@reduced graphene oxide cathode, and activated carbon/carbon cloth anode was developed. The device exhibits excellent electrochemical performance and stability, even at low temperatures, with a high cycle retention rate after 5000 cycles.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Anmol Jnawali, Matt D. R. Kok, Francesco Iacoviello, Daniel J. L. Brett, Paul R. Shearing
Summary: This article presents the results of a systematic study on the electrochemical performance and mechanical changes in two types of commercial batteries with different anode chemistry. The study reveals that the swelling of anode layers in batteries with silicon-based components causes deformations in the jelly roll structure, but the presence of a small percentage of silicon does not significantly impact the cycling performance of the cells within the relevant state-of-health range for electric vehicles (EVs). The research suggests that there is room for improving the cell capacities by increasing the silicon loading in composite anodes to meet the increasing demands on EVs.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Yohandys A. Zulueta, My Phuong Pham-Ho, Minh Tho Nguyen
Summary: Advanced atomistic simulations were used to study ion transport in the Na- and K-doped lithium disilicate Li2Si2O5. The results showed that Na and K doping significantly enhanced Li ion diffusion and conduction in the material.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Zongying Han, Hui Dong, Yanru Yang, Hao Yu, Zhibin Yang
Summary: An efficient phase inversion-impregnation approach is developed to fabricate BaO-decorated Ni8 mol% YSZ anode-supported tubular solid oxide fuel cells (SOFCs) with anti-coking properties. BaO nanoislands are successfully introduced inside the Ni-YSZ anode, leading to higher peak power densities and improved stability in methane fuel. Density functional theory calculations suggest that the loading of BaO nanoislands facilitates carbon elimination by capturing and dissociating H2O molecules to generate OH.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Suresh Mamidi, Dan Na, Baeksang Yoon, Henu Sharma, Anil D. Pathak, Kisor Kumar Sahu, Dae Young Lee, Cheul-Ro Lee, Inseok Seo
Summary: Li-CO2 batteries, which utilize CO2 and have a high energy density, are hindered in practical applications due to slow kinetics and safety hazards. This study introduces a stable and highly conductive ceramic-based solid electrolyte and a metal-organic framework catalyst to improve the safety and performance of Li-CO2 batteries. The optimized Li-CO2 cell shows outstanding specific capacity and cycle life, and the post-cycling analysis reveals the degradation mechanism of the electrodes. First-principles calculations based on density functional theory are also performed to understand the interactions between the catalyst and the host electrode. This research demonstrates the potential of MOF cathode catalyst for stable operation in Li-CO2 batteries.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Ganghua Xiang, Zhihuan Qiu, Huilong Fei, Zhigang Liu, Shuangfeng Yin, Yuen Wu
Summary: In this study, a CeFeOx-supported Pt single atoms and subnanometric clusters catalyst was developed, which exhibits enhanced catalytic activity and stability for the preferential oxidation of CO in H2-rich stream through synergistic effect.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Dimitrios Chatzogiannakis, Marcus Fehse, Maria Angeles Cabanero, Natalia Romano, Ashley Black, Damien Saurel, M. Rosa Palacin, Montse Casas-Cabanas
Summary: By coupling electrochemical testing to operando synchrotron based X-ray absorption and powder diffraction experiments, blended positive electrodes consisting of LiMn2O4 spinel (LMO) and layered LiNi0.5Mn0.3Co0.2O2 (NMC) were studied to understand their redox mechanism. It was found that blending NMC with LMO can enhance energy density at high rates, with the blend containing 25% LMO showing the best performance. Testing with a special electrochemical setup revealed that the effective current load on each blend component can vary significantly from the nominal rate and also changes with SoC. Operando studies allowed monitoring of the oxidation state evolution and changes in crystal structure, in line with the expected behavior of individual components considering their electrochemical current loads.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Chiara Cementon, Daniel Dewar, Thrinathreddy Ramireddy, Michael Brennan, Alexey M. Glushenkov
Summary: This Perspective discusses the specific power and power density of lithium-ion capacitors, highlighting the fact that their power characteristics are often underestimated. Through analysis, it is found that lithium-ion capacitors can usually achieve power densities superior to electrochemical supercapacitors, making them excellent alternatives to supercapacitors.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Weihao Wang, Hao Yu, Li Ma, Youquan Zhang, Yuejiao Chen, Libao Chen, Guichao Kuang, Liangjun Zhou, Weifeng Wei
Summary: This study achieved an improved electrolyte with excellent low-temperature and high-voltage performance by regulating the Li+ solvation structure and highly concentrating it. The electrolyte exhibited outstanding oxidation potential and high ionic conductivity under low temperature and high voltage conditions, providing a promising approach for the practical application of high-voltage LIBs.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Martin Bures, Dan Gotz, Jiri Charvat, Milos Svoboda, Jaromir Pocedic, Juraj Kosek, Alexandr Zubov, Petr Mazur
Summary: Vanadium redox flow battery is a promising energy storage solution with long-term durability, non-flammability, and high overall efficiency. Researchers have developed a mathematical model to simulate the charge-discharge cycling of the battery, and found that hydraulic connection of electrolyte tanks is the most effective strategy to reduce capacity losses, achieving a 69% reduction.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
M. Rodriguez-Gomez, J. Campo, A. Orera, F. de La Fuente, J. Valenciano, H. Fricke, D. S. Hussey, Y. Chen, D. Yu, K. An, A. Larrea
Summary: In this study, we analysed the operando performance of industrial lead cells using neutron diffraction experiments. The experiments revealed the evolution of different phases in the positive electrode, showed significant inhomogeneity of phase distribution inside the electrode, and estimated the energy efficiency of the cells.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Jiawei Liu, Chenpeng Wang, Yue Yao, Hao Ye, Yinglong Liu, Yingli Liu, Xiaoru Xu, Zhicong Chen, Huazheng Yang, Gang Wu, Libin Lei, Chao Wang, Bo Liang
Summary: The study focuses on utilizing double conductive Ni-pads as anode collectors in micro-tubular solid oxide fuel cells. The simulation results show excellent performance and stability of DCNPs, and also highlight the potential applications in various fields.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Yang Wang, Kangjie Zhou, Lang Cui, Jiabing Mei, Shengnan Li, Le Li, Wei Fan, Longsheng Zhang, Tianxi Liu
Summary: This study presents a polyimide sandwiched separator (s-PIF) for improving the cycling stability of Li-metal batteries. The s-PIF separator exhibits superior mechanical property, electrolyte adsorption/retention and ion conductivity, and enables dendrite-free Li plating/stripping process.
JOURNAL OF POWER SOURCES
(2024)
