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48 pages, 12876 KB  
Review
Comparative Study of Titanium Oxide Materials for Ultrafast Charging in Lithium-Ion Batteries
by Abderrahim Laggoune, Anil Kumar Madikere Raghunatha Reddy, Jeremy I. G. Dawkins, Thiago M. G. Selva, Jitendrasingh Rajpurohit and Karim Zaghib
Batteries 2026, 12(4), 120; https://doi.org/10.3390/batteries12040120 (registering DOI) - 29 Mar 2026
Abstract
The development of lithium-ion batteries (LIBs) capable of extreme fast charging (XFC) while preserving safety, durability, and practical energy density remains a central challenge for next-generation electric transportation and grid-scale storage. Conventional graphite anodes are fundamentally limited at high current densities by sluggish [...] Read more.
The development of lithium-ion batteries (LIBs) capable of extreme fast charging (XFC) while preserving safety, durability, and practical energy density remains a central challenge for next-generation electric transportation and grid-scale storage. Conventional graphite anodes are fundamentally limited at high current densities by sluggish intercalation kinetics, which cause lithium plating, motivating the exploration of alternative insertion materials. This review provides a comprehensive and internally consistent assessment of titanium-based oxide anodes, encompassing TiO2 polymorphs, lithium titanate (Li4Ti5O12), and Wadsley–Roth titanium niobium oxides, through the combined lenses of crystal topology, diffusion pathways, redox chemistry, interfacial behavior, and resource scalability. By systematically comparing structural frameworks and electrochemical mechanisms across these material classes, we demonstrate that fast-charging performance is governed not by nano-structuring alone, but by the intrinsic coupling between operating potential, framework rigidity, and multi-electron redox activity. While Li4Ti5O12 establishes the benchmark for safety and cyclability, and TiO2 polymorphs provide structural versatility, titanium niobium oxides uniquely reconcile high theoretical capacity with minimal lithiation strain and open diffusion channels, positioning them as highly promising candidates for sub-10 min charging without catastrophic degradation. This review highlights the persistent obstacles these materials suffer, such as limited round-trip energy efficiency (RTE), interfacial gas evolution, poor dopant stability, and unsustainable extraction, while simultaneously exploring targeted design strategies to overcome them. Finally, this review provides a materials design and comparison framework for the development of safe, high-power, and commercially viable ultrafast-charging LIBs. Full article
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17 pages, 3090 KB  
Article
Recovery of Separator from Battery Waste by Supercritical Carbon Dioxide Extraction: Removal of Electrolyte and Electrode Contaminants
by Martin Östergren, Philipp Mikšovsky and Burçak Ebin
Batteries 2026, 12(4), 118; https://doi.org/10.3390/batteries12040118 (registering DOI) - 28 Mar 2026
Abstract
Hazardous compounds from used batteries pose a great threat to the environment. To prevent pollution and to recover critical materials from battery waste, efficient recycling is required. Until now, battery recycling has focused on the recovery of valuable metals from cathode materials, while [...] Read more.
Hazardous compounds from used batteries pose a great threat to the environment. To prevent pollution and to recover critical materials from battery waste, efficient recycling is required. Until now, battery recycling has focused on the recovery of valuable metals from cathode materials, while organic fractions have often been neglected due to their low material value. New approaches to battery recycling are therefore necessary, where recycling methods based on supercritical carbon dioxide (SC-CO2) extraction show great potential. In this work, a SC-CO2 method was implemented to extract electrolyte solvents for the purification and recovery of a separator waste material (SWM) sorted out from lithium-ion battery (LIB)-based black mass. In addition, two other separation routes (ultrasonic washing and thermal treatment) were used for comparison. Based on the results from the three routes, mass balances revealed the gravimetric composition of the SWM, which includes separator, electrolyte, and electrode powder. The composition of electrolyte solvents was determined via Gas Chromatography-Mass Spectroscopy analysis. Furthermore, the polymeric separator was analyzed using Fourier Transform Infrared Spectroscopy, Thermogravimetric Analysis, and Differential Scanning Calorimetry analysis to evaluate the effects of SC-CO2 extraction on the physicochemical properties. The recovery of electrolyte by the SC-CO2 route is more efficient than the others, with extraction yields of 162 mg of electrolyte per gram of SWM. Moreover, no changes are observed in the analyzed properties of the polymeric separator material due to the SC-CO2 extraction. Thus, the SC-CO2 process proves to be a promising method for an efficient and sustainable recycling of electrolyte solvent and purifying of separator material from LIB waste. Full article
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17 pages, 4205 KB  
Article
Enhancing High-Temperature Cycling Stability and Rate Capability of LiNi0.71Co0.09Mn0.2O2 Cathodes via Al2O3/LiBO2 Double Coatings
by Guozhen Wei, Suheng Wang, Yaobin Ye and Nengjian Xie
Batteries 2026, 12(4), 113; https://doi.org/10.3390/batteries12040113 - 26 Mar 2026
Viewed by 178
Abstract
Layered nickel-rich cathodes are regarded as promising cathode materials for lithium-ion batteries (LIBs) due to their higher electrochemical capacities and lower cost. However, the development and commercial application of nickel-rich cathodes are severely hindered by significant capacity fading under a high charge cut-off [...] Read more.
Layered nickel-rich cathodes are regarded as promising cathode materials for lithium-ion batteries (LIBs) due to their higher electrochemical capacities and lower cost. However, the development and commercial application of nickel-rich cathodes are severely hindered by significant capacity fading under a high charge cut-off voltage (4.5 V), which arises from interfacial instability and bulk structural degradation during charge–discharge processes. In this study, a two-step double-coating strategy was innovatively adopted to successfully synthesize Al2O3/LiBO2 co-coated LiNi0.71Co0.09Mn0.2O2 cathode material (denoted as NCM-Al/B). X-ray photoelectron spectroscopy (XPS) verified that Al existed stably in the form of Al3+, and B formed B-O-M covalent bonds with transition metals (Ni/Co/Mn), constructing a dual-element synergistic interface. This interface significantly reduced the surface Ni3+ content and enhanced the structural stability by suppressing the H2→H3 phase transition. The NCM-Al/B material exhibits excellent electrochemical performance: it maintains a remarkable cycling stability with a capacity retention of 91.6% after 100 cycles at 1 C and 25 °C and delivers a discharge capacity of 156.6 mAh·g−1 with a capacity retention of 75.4% after 100 cycles at a high rate of 1 C. This work establishes a chemically driven double-coating strategy and provides a new paradigm for optimizing the performance of high-nickel cathode materials. Full article
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23 pages, 2320 KB  
Review
Recent Advances in Polymer-Based Thermal Barrier Materials for Mitigating Thermal Runaway Propagation in Lithium-Ion Batteries
by Yang Li, Yong-Yan Xie, Yu-Jie Zhang, Lin Ma, Dun-Peng Bao, Su-Hang Wen, Shuai-Chi Liu, Zuan-Yu Chen, Guo-Dong Zhang, Xiao-Bo Ji and Long-Cheng Tang
Polymers 2026, 18(7), 801; https://doi.org/10.3390/polym18070801 - 26 Mar 2026
Viewed by 286
Abstract
Thermal barrier materials play a crucial role in reducing heat transfer, suppressing thermal runaway (TR) propagation, and mitigating the risk of fire and explosion. Among the various types of thermal barrier materials, polymer-based thermal barrier materials, including polyimide (PI), aramid, epoxy resin (ER), [...] Read more.
Thermal barrier materials play a crucial role in reducing heat transfer, suppressing thermal runaway (TR) propagation, and mitigating the risk of fire and explosion. Among the various types of thermal barrier materials, polymer-based thermal barrier materials, including polyimide (PI), aramid, epoxy resin (ER), polyurethane (PU), phenolic resin (PR), and silicone, have been widely applied in lithium-ion battery (LIB) safety protection owing to their excellent thermal stability, structural tunability, and favorable processability. This review provides a systematic and comprehensive overview of polymer-based thermal barrier materials for mitigating thermal runaway propagation in LIBs. The propagation pathways of TR in battery systems are first outlined to clarify the functional requirements of thermal barrier materials. Subsequently, representative classes of polymer materials are reviewed with emphasis on their structural characteristics and advantages. Strategies for enhancing thermal insulation, flame retardancy, heat absorption capacity, and mechanical robustness are then summarized in the context of thermal safety protection. Finally, key challenges associated with polymer-based thermal barrier materials are discussed, and future development directions are proposed. Full article
(This article belongs to the Section Smart and Functional Polymers)
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8 pages, 1829 KB  
Proceeding Paper
Parameter Extraction and State-of-Charge Estimation of Li-Ion Batteries for BMS Applications
by Badis Lekouaghet, Hani Terfa and Mohammed Haddad
Eng. Proc. 2026, 124(1), 92; https://doi.org/10.3390/engproc2026124092 - 26 Mar 2026
Viewed by 136
Abstract
Lithium-ion batteries (LiBs) are fundamental to modern energy systems, particularly in electric vehicle (EV) applications, due to their high energy density, long cycle life, and low self-discharge characteristics. Accurate State-of-Charge (SoC) estimation is essential for ensuring reliable performance, efficient energy usage, and the [...] Read more.
Lithium-ion batteries (LiBs) are fundamental to modern energy systems, particularly in electric vehicle (EV) applications, due to their high energy density, long cycle life, and low self-discharge characteristics. Accurate State-of-Charge (SoC) estimation is essential for ensuring reliable performance, efficient energy usage, and the safety of Battery Management Systems (BMSs). However, the nonlinear and time-varying characteristics of LiBs, along with the difficulty in directly measuring internal states, pose significant challenges for parameter identification and SoC estimation. This study presents an advanced approach based on the Weighted Mean of Vectors optimization algorithm to simultaneously identify the unknown parameters of an extended Thevenin Equivalent Circuit Model (ECM) and estimate the SoC. Unlike previous methods that use static parameters for specific battery modes, the proposed technique accounts for dynamic changes during both charging and discharging operations. The algorithm demonstrates superior adaptability by continuously adjusting model parameters to reflect real-time battery behavior under varying operational conditions. The algorithm also models the relationship between SoC and open-circuit voltage (Voc) using data collected from real lithium-ion cells tested under a controlled load profile in the laboratory. This experimental validation ensures the practical applicability and robustness of the proposed methodology. The simulation results confirm the effectiveness and precision of the proposed approach, showing excellent agreement between measured and estimated values, with minimal errors in both voltage and SoC prediction. The enhanced accuracy achieved through this dynamic parameter identification framework represents a significant advancement in battery state estimation technology. Full article
(This article belongs to the Proceedings of The 6th International Electronic Conference on Applied Sciences)
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20 pages, 8342 KB  
Article
The State of Health Prediction of Li-Ion Batteries Based on ISMA-HKELM
by Yao Jiang, Yuanzhao Deng, Yan Ai and Yuesheng Zhu
Energies 2026, 19(7), 1627; https://doi.org/10.3390/en19071627 - 26 Mar 2026
Viewed by 253
Abstract
Accurately predicting the State of Health (SOH) of lithium-ion batteries (LIBs) is essential to ensure their long-term stable and safe operation. This paper proposes a novel model, the ISMA-HKELM, which is an Improved Slime Mould Algorithm (ISMA)-optimized Hybrid Kernel Extreme Learning Machine (HKELM), [...] Read more.
Accurately predicting the State of Health (SOH) of lithium-ion batteries (LIBs) is essential to ensure their long-term stable and safe operation. This paper proposes a novel model, the ISMA-HKELM, which is an Improved Slime Mould Algorithm (ISMA)-optimized Hybrid Kernel Extreme Learning Machine (HKELM), designed for high-precision SOH estimation. We first selected the equal voltage rise time and equal voltage drop time as indirect health indicators, and their validity was rigorously confirmed through Pearson and Spearman correlation tests. Subsequently, the ISMA was utilized to effectively tune the key parameters of the HKELM model. Experimental results demonstrate that the ISMA-HKELM model exhibits superior prediction performance across multiple public datasets, achieving an average R2 value of more than 0.99. Furthermore, the model shows significantly lower Mean Absolute Error (MAE), Mean Bias Error (MBE), and Root Mean Square Error (RMSE) compared to other control models. These results fully prove the advancement and validity of the ISMA-HKELM model for LIB SOH estimation. Full article
(This article belongs to the Section F5: Artificial Intelligence and Smart Energy)
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19 pages, 2746 KB  
Review
A Comprehensive Review of White Rot Caused by Sclerotinia sclerotiorum: Pathogenicity, Epidemiology and Management
by Zoltán András Boldizsár, Levente Vörös, Wogene Solomon Kabato, Gábor Kukorelli and Zoltán Molnár
Agronomy 2026, 16(7), 688; https://doi.org/10.3390/agronomy16070688 (registering DOI) - 25 Mar 2026
Viewed by 174
Abstract
White mold caused by Sclerotinia sclerotiorum (Lib.) de Bary continues to threaten yield and quality and remains a stubborn, sometimes unpredictable constraint in many cropping systems. The pathogen’s broad host range and its capacity to persist for years as sclerotia mean that fields [...] Read more.
White mold caused by Sclerotinia sclerotiorum (Lib.) de Bary continues to threaten yield and quality and remains a stubborn, sometimes unpredictable constraint in many cropping systems. The pathogen’s broad host range and its capacity to persist for years as sclerotia mean that fields can carry risk long after visible symptoms fade. Disease development is often driven by short windows of favorable temperature and moisture that promote germination and ascospore release and dispersal, while myceliogenic infection from soil-borne sclerotia can also initiate disease directly. Yet dependable control is still undermined by durable inoculum, limited stable host resistance, variable biocontrol performance, and shrinking chemical options together with fungicide resistance risk. Here we consolidate current understanding and ongoing uncertainties around sclerotial formation and germination cues, the environmental drivers that shape epidemic onset, and the processes governing host colonization, including the roles of cell wall-degrading enzymes, oxalic acid, and redox regulation, as well as the continuing debate over necrotrophic versus hemibiotrophic phases. Management is considered from a practical perspective, covering cultural risk reduction, forecasting-guided fungicide programmes supported by resistance-management principles, and biological control strategies targeting sclerotia. Across systems, the evidence points to the same lesson: single tactics rarely remain reliable under field variability, whereas integrated packages that reduce soil inoculum and align interventions with risk are more durable. Future priorities include resolving early infection events, improving prediction of carpogenic germination under changing climates, increasing the consistency of biocontrol, and accelerating resistance breeding supported by genomic resources. Full article
(This article belongs to the Section Pest and Disease Management)
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10 pages, 1121 KB  
Article
Research on the Active Safety Warning Technology of LIBs Thermal Runaway Based on FBG Sensing
by Yanli Miao, Xiao Tan, Chenying Li, Jianjun Liu, Ling Sa, Xiaohan Li, Zongjia Qiu and Zhichao Ding
Batteries 2026, 12(3), 110; https://doi.org/10.3390/batteries12030110 - 23 Mar 2026
Viewed by 180
Abstract
Lithium-ion batteries (LIBs) may experience thermal runaway (TR) under thermal abuse conditions, posing significant safety risks to energy storage systems, electric vehicles, and portable electronics. To ensure the safety of LIB-powered applications, developing an effective TR early warning method is crucial. This study [...] Read more.
Lithium-ion batteries (LIBs) may experience thermal runaway (TR) under thermal abuse conditions, posing significant safety risks to energy storage systems, electric vehicles, and portable electronics. To ensure the safety of LIB-powered applications, developing an effective TR early warning method is crucial. This study employs polyimide-coated femtosecond fiber Bragg grating (FBG) sensors to investigate TR characteristics in 18,650 LIBs (LiNi1/3Mn1/3Co1/3O2/graphite), including TR onset temperature determination and the evolution of temperature and radial strain at different states of charge (SOCs). Compared with existing studies, the polyimide-coated femtosecond FBGs employed here offer superior breakage resistance and high-temperature tolerance, enabling more precise temperature and strain measurements. For radial strain monitoring obtained during high-temperature-induced LIBs thermal runaway experiments, temperature compensation was achieved using polyimide-coated femtosecond FBG temperature sensors, yielding higher-accuracy strain evolution profiles. Experimental results demonstrate that the higher-SOC LIBs exhibit more severe TR eruptions, with 1.76× higher peak temperatures and 1.3× greater mass loss than low-SOC LIBs. The proposed scheme pioneers an new approach to effective active safety warning of LIBs thermal runaway. Full article
(This article belongs to the Special Issue Advanced Intelligent Management Technologies of New Energy Batteries)
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18 pages, 5292 KB  
Article
Fe/Ni-Catalyzed Pyrolysis of Sugarcane Bagasse Lignin to Graphitized Porous Carbon for Lithium-Ion Battery Anodes
by Supachai Jadsadajerm, Vorapas Hensawang, Khatiya Weerasai, Pimpajee Sangsiri, Pongtanawat Khemthong, Saran Youngjan, Jakkapop Phanthasri, Navadol Laosiripojana and Pornlada Daorattanachai
Catalysts 2026, 16(3), 285; https://doi.org/10.3390/catal16030285 - 23 Mar 2026
Viewed by 331
Abstract
Developing sustainable electrode materials from renewable biomass is important for improving the environmental sustainability of lithium-ion batteries (LIBs). Sugarcane bagasse lignin, an abundant agricultural byproduct, is a promising precursor for lignin-derived carbon anode materials, yet systematic comparative studies on catalyst-dependent structure evolution and [...] Read more.
Developing sustainable electrode materials from renewable biomass is important for improving the environmental sustainability of lithium-ion batteries (LIBs). Sugarcane bagasse lignin, an abundant agricultural byproduct, is a promising precursor for lignin-derived carbon anode materials, yet systematic comparative studies on catalyst-dependent structure evolution and LIB performance remain limited. In this study, lignin extracted from sugarcane bagasse by an ethanosolv process was converted into Fe- and Ni-catalyzed lignin-derived carbon materials via catalytic pyrolysis at 900 °C. The effects of catalyst type, metal-to-lignin ratio, and pyrolysis holding time on textural properties, structural features, and electrochemical behavior were systematically investigated. Among the studied conditions, the Fe-catalyzed sample prepared at a metal-to-lignin ratio of 1:2.5 and a holding time of 3 h (GLKL-2.5Fe-3h) exhibited the highest BET surface area (332.71 m2 g−1) and the most developed porous morphology. SEM, TEM, Raman, and XRD analyses indicated catalyst-dependent differences in pore development, carbon domain morphology, and local graphitic ordering, with Fe- and Ni-catalyzed samples following distinct structural evolution pathways. Electrochemical testing showed that GLKL-2.5Fe-3h delivered the highest initial discharge capacity (759 mAh g−1), retained 165 mAh g−1 after 500 cycles, and exhibited more favorable rate performance and lower apparent interfacial resistance than the other tested samples under the same conditions. In contrast, the Ni-catalyzed and solvothermally treated samples showed lower capacity retention and/or less favorable electrochemical behavior. These results demonstrate the strong effect of catalyst type on the structure-performance relationship of bagasse lignin-derived carbon anodes and support Fe-catalyzed lignin-derived carbon as a promising sustainable anode candidate for LIB applications. Full article
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21 pages, 3246 KB  
Article
Research on the Evolution Law of Electrochemical Impedance Spectral Characteristics of Lithium-Ion Batteries in Different States
by Xiong Shu, Linkai Tan, Wenxian Yang, Konlayutt Punyawudho, Quan Bai and Qiong Wang
Molecules 2026, 31(6), 1048; https://doi.org/10.3390/molecules31061048 - 22 Mar 2026
Viewed by 184
Abstract
Lithium-ion batteries (LIBs) are pivotal for energy storage in electric vehicles and renewable systems, but how to effectively monitor their conditions and ensure their operational reliability is still a concern today. This study employs electrochemical impedance spectroscopy (EIS) to systematically investigate the evolution [...] Read more.
Lithium-ion batteries (LIBs) are pivotal for energy storage in electric vehicles and renewable systems, but how to effectively monitor their conditions and ensure their operational reliability is still a concern today. This study employs electrochemical impedance spectroscopy (EIS) to systematically investigate the evolution of impedance characteristics in nickel–cobalt–manganese oxide (NCM) lithium-ion batteries (LIBs) under varying states of charge (SOCs), states of health (SOHs), temperatures, and mechanical compression displacements. Results reveal that higher SOC and temperature reduce impedance by enhancing ion kinetics and interfacial activity, with Rct (charge transfer resistance) exhibiting a U-shaped dependence on SOC, minimized at 40–60%. As SOH declines from 100% to 80%, RSEI (SEI film resistance) and Rct increase progressively, reflecting SEI thickening and electrode degradation. Mechanical compression (0–8 mm) elevates all resistances, particularly Rct at high SOC, due to structural deformation and hindered diffusion. DRT (distribution of relaxation times) spectra highlight amplified low-frequency peaks with aging and low SOC, underscoring diffusion limitations. These findings elucidate multi-scale failure mechanisms, from interfacial polarization to structural instability, providing a framework for non-invasive health monitoring and lifetime prediction. Full article
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22 pages, 2038 KB  
Article
Biophysical Characterization of a Carotenoprotein from Marine Sponge Tedania ignis Reveals Pigment-Dependent Stability and Antibiotic Interactions
by Philippe Lima Duarte, Paulo Anderson Paiva Martins, Jéssica de Assis Duarte, Manoel Ferreira da Costa Filho, Ellen Araújo Malveira, Celso Shiniti Nagano, Alexandre Holanda Sampaio, Edson Holanda Teixeira, Rômulo Farias Carneiro and Mayron Alves de Vasconcelos
Mar. Drugs 2026, 24(3), 118; https://doi.org/10.3390/md24030118 - 21 Mar 2026
Viewed by 250
Abstract
Carotenoproteins from marine sponges represent an underexplored class of pigment–protein complexes with distinctive structural and functional properties. Here, we report the isolation and biophysical characterization of a blue carotenoprotein from the sponge Tedania ignis, termed Ti-CP. The protein was purified and shown [...] Read more.
Carotenoproteins from marine sponges represent an underexplored class of pigment–protein complexes with distinctive structural and functional properties. Here, we report the isolation and biophysical characterization of a blue carotenoprotein from the sponge Tedania ignis, termed Ti-CP. The protein was purified and shown to consist of two closely related isoforms with molecular masses of approximately 27–29 kDa. Reverse-phase chromatography enabled separation of the apoprotein (ApoTi-CP) and its associated carotenoids, which were identified as oxygenated carotenoids consistent with astaxanthin and mytiloxanthin. Circular dichroism analysis revealed that both Ti-CP and ApoTi-CP are dominated by β-sheet secondary structure and display highly similar conformational profiles. In contrast, dynamic light scattering demonstrated that carotenoid binding is critical for protein stability, as the native form exhibited a compact and monodisperse organization, whereas ApoTi-CP showed pronounced aggregation. Isothermal titration calorimetry revealed that Ti-CP, but not ApoTi-CP, interacts with tetracycline, oxacillin, and streptomycin, indicating that pigment-mediated stabilization modulates ligand binding. Both Ti-CP and ApoTi-CP reduced bacterial viability and biofilm formation in a strain-dependent manner and enhanced antibiotic activity, including synergistic effects against resistant bacteria. Together, these results provide a comprehensive description of a previously uncharacterized sponge carotenoprotein and highlight the dual role of carotenoids in structural stabilization and antimicrobial modulation, reinforcing the biotechnological relevance of marine pigment–protein complexes. Full article
(This article belongs to the Section Marine Chemoecology for Drug Discovery)
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8 pages, 2546 KB  
Communication
A 6 mJ, 4 ns Pulse Generation at 2.09 µm from a Diode-Pumped Ho:YAG Thin-Disk Laser
by Yuya Koshiba, Jiří Mužík, Martin Smrž, Matyáš Dvořák, Sabina Kudělková, Antonín Fajstavr and Tomáš Mocek
Photonics 2026, 13(3), 306; https://doi.org/10.3390/photonics13030306 - 21 Mar 2026
Viewed by 225
Abstract
A holmium-doped yttrium aluminum garnet (Ho:YAG) thin disk was experimentally investigated under Q-switching and cavity-dumping operation schemes, pumped by a 1.9 µm laser diode (LD). The laser generated pulses at 2090 nm with energies more than 6 mJ and pulse duration down to [...] Read more.
A holmium-doped yttrium aluminum garnet (Ho:YAG) thin disk was experimentally investigated under Q-switching and cavity-dumping operation schemes, pumped by a 1.9 µm laser diode (LD). The laser generated pulses at 2090 nm with energies more than 6 mJ and pulse duration down to 3.8 ns, corresponding to a peak power of 1.6 MW with near-diffraction-limited beam quality. The compact and robust system was used for laser-induced breakdown spectroscopy (LIBS) experiments, demonstrating its practical usability. These results represent, to the best of our knowledge, the first demonstration of a Ho:YAG thin-disk laser providing MW peak power in the nanosecond regime. Full article
(This article belongs to the Special Issue Laser Technology and Applications)
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9 pages, 904 KB  
Perspective
The Lithium-Ion Battery Recycling Trilemma: Bridging the Gap Between Material Science, Economic Reality, and Regulatory Policy
by Qi Zhang
Materials 2026, 19(6), 1235; https://doi.org/10.3390/ma19061235 - 20 Mar 2026
Viewed by 318
Abstract
The electric vehicle revolution has created an urgent need for lithium-ion battery (LIB) recycling, with projections exceeding 11 million tons of end-of-life batteries annually by 2030. However, progress toward a circular economy remains fragmented. This perspective article introduces the concept of a ‘Recycling [...] Read more.
The electric vehicle revolution has created an urgent need for lithium-ion battery (LIB) recycling, with projections exceeding 11 million tons of end-of-life batteries annually by 2030. However, progress toward a circular economy remains fragmented. This perspective article introduces the concept of a ‘Recycling Trilemma,’ arguing that technological advancements in material separation are systematically undermined by economic volatility and regulatory fragmentation. While current literature focuses on isolated domains—chemistry, business models, or policy—this work provides a systems-level synthesis. By analyzing the friction points between material science (e.g., binder removal, impurity sensitivity), economic realities (e.g., logistics costs, LFP profitability), and regulatory frameworks (e.g., EU vs. US divergence), we propose that true circularity requires synchronized design-for-recycling, market stabilization mechanisms, and harmonized digital product passports. The paper concludes that overcoming the trilemma demands a shift from isolated fixes to integrated, cross-sectoral coordination. Full article
(This article belongs to the Special Issue Recycling and Electrode Materials of Lithium Batteries)
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21 pages, 4328 KB  
Article
Delamination of Aluminium Current Collectors from Spent Lithium-Ion Battery Cathodes Using Room-Temperature Organic Acid-Assisted Ultrasonication
by Tendai Tawonezvi, Anele Sinto, Mihle N. Qhina, Dorcas Zide, Emihle Mlotha and Bernard J. Bladergroen
Recycling 2026, 11(3), 60; https://doi.org/10.3390/recycling11030060 - 16 Mar 2026
Viewed by 317
Abstract
The strong adhesion between cathode materials and aluminium (Al) foil substrates presents a significant challenge in the recycling of spent lithium-ion batteries (LiBs). Conventionally, high temperatures and high concentrations of costly organic solvents such as N-methyl-2-pyrrolidone (NMP), dimethylacetamide (DMAC), dimethylformamide (DMF), and dimethyl [...] Read more.
The strong adhesion between cathode materials and aluminium (Al) foil substrates presents a significant challenge in the recycling of spent lithium-ion batteries (LiBs). Conventionally, high temperatures and high concentrations of costly organic solvents such as N-methyl-2-pyrrolidone (NMP), dimethylacetamide (DMAC), dimethylformamide (DMF), and dimethyl sulfoxide (DMSO) are used to enhance ultrasonication-based delamination. In this study, a novel, eco-efficient approach was demonstrated for delaminating cathode materials from Al foil using a low-concentration organic citric-acid-assisted low-power ultrasonic treatment coupled with a gentle, low-power-per-volume mechanical mixing system at room temperature. The separation mechanism was attributed to the structure disruption, possibly swelling, of the polyvinylidene fluoride (PVDF) binder using low-concentration citric acid and the cavitation effects induced by ultrasound. Key parameters influencing the delamination efficiency included the solvent type, temperature, ultrasonic power, and treatment duration. Under optimised conditions, citric acid was used as the sonication reagent, with a process temperature of 20 °C, 60 W ultrasonic power, and 80 min of ultrasonication; a delamination efficiency of approximately 92% was achieved. The recovered cathode materials exhibited low agglomeration, favouring subsequent leaching processes. This work proposes an environmentally friendly and effective method for cathode and Al foil recovery from spent LiBs, integrating manual dismantling, ultrasonic treatment, and material separation. Full article
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20 pages, 8450 KB  
Article
Data-Driven Machine Learning Prediction of Impact Failure in Cylindrical Lithium-Ion Batteries
by Bokui Li, Yuhang Zhou, Xuehui Zhou, Zixuan Huang and Xinchun Zhang
Energies 2026, 19(6), 1435; https://doi.org/10.3390/en19061435 - 12 Mar 2026
Viewed by 225
Abstract
The mechanical safety of lithium-ion batteries (LIBs) under dynamic impact has been recognized as a critical concern for electric vehicles. In this study, three experimental dynamic impact datasets of cylindrical LIBs were established through drop-weight tests, with each dataset capturing the effects of [...] Read more.
The mechanical safety of lithium-ion batteries (LIBs) under dynamic impact has been recognized as a critical concern for electric vehicles. In this study, three experimental dynamic impact datasets of cylindrical LIBs were established through drop-weight tests, with each dataset capturing the effects of indenter geometry, impact repetition, and state of charge (SOC). Using these datasets, six representative machine learning (ML) models—including ANN, SVR, LSTM, TCN, RF, and XGBoost—were evaluated for predicting force–time responses and analyzing failure-related characteristics indicated by the synchronized voltage response. The results indicated that ensemble models (XGBoost and RF) provided the highest predictive accuracy (R2 > 0.999) under the tested conditions, while temporal models (LSTM and TCN) effectively captured nonlinear time-dependent behavior. These findings demonstrate that ML-based prediction offers a rapid and reliable means for impact-response assessment and voltage-drop-based failure indication in cylindrical LIBs, supporting early-stage safety screening under the investigated impact conditions. Full article
(This article belongs to the Special Issue Advances in Battery Modelling, Applications, and Technology)
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