A PVDF‐HFP/poly(ionic liquid) dual‐matrix solid electrolyte plasticized with Pyr13TFSI exhibits enhanced ionic conductivity, thermal stability, and interfacial compatibility. The optimized morphology and Li+ solvation structure facilitate fast ion transport and robust cycling, highlighting its promise for safe, high‐performance lithium metal batteries.
Kangsheng Huang +9 more
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Genetic Polymorphisms as Modifiers of Health Risks from Exposure to Toxic Elements: A Traditional Literature Review. [PDF]
Palazzo M +5 more
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This review summarizes key parameters including cathode loading and electrolyte consumption, clarifies the practical application scope of alkali metal batteries, and research progress on advanced electrolytes for grid‐scale energy storage systems. The growing demand for grid‐scale battery energy storage systems (BESSs) has prompted researchers to turn ...
Hui Shao, Zhiwei Ni, Jinkui Feng
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Unraveling the impact of pilot fuel injection pressure on hydrogen-diesel engine performance through PCA and RSM analysis. [PDF]
Mohite AA +6 more
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The structure, properties, preparation methods, and characterization techniques of BP. As a typical 2D layered material, black phosphorus (BP) demonstrates exceptional promise in various fields, particularly in energy storage for alkali metal‐ion batteries. However, its distinctive structure and properties, together with the compositional complexity of
Yunqing Wang +7 more
wiley +1 more source
Thermodynamic assessment of tri-reforming of methane with optimization of operating conditions to achieve suitable syngas for methanol production. [PDF]
Alamdari A +2 more
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Experimental Analysis of Combustion and Emission Characteristics of a Diesel Engine Using Diesel-Biodiesel-Methanol Blends With Cetane Enhancer Additive Under Pilot Injection Mode. [PDF]
Dave H +4 more
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Environmental exposures and multiple myeloma risk: A contemporary review of epidemiologic associations and mechanistic plausibility. [PDF]
Del Rosal MV +6 more
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Characterizing On-Road CO<sub>2</sub> and NO<sub>x</sub> Emissions of LNG and Diesel Container Trucks Using Portable Emission Measurement System. [PDF]
Zhao H, Han Z, Cheng L, Lyu Y, Luo T.
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Comparative Evaluation of Deep Learning Graph Neural Networks and Classical Machine Learning Models for Predicting Heats of Combustion as a Key Hazard Indicator under GHS/CLP Standards. [PDF]
Nnyigide OS, Byeon H, Okpete UE.
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