Results 141 to 150 of about 12,101 (223)
Advancing Upcycling and Regeneration of Spent LiFePO4: Failure Mechanisms and Recovery Strategies
This review studies the failure mechanism to promote the upcycling regeneration of spent lithium iron phosphate (S‐LFP). It first summarizes the failure mechanisms of LFP batteries revealed via advanced characterization technologies and then explores the respective advantages and challenges of hydrometallurgy and direct regeneration methods.
Yi Wang +6 more
wiley +1 more source
Superspreading and the evolution of virulence. [PDF]
O'Neill X +5 more
europepmc +1 more source
Porous Carbon Materials for Carbon Dioxide Capture
This work aims to address the current status and challenges associated with the regulation of pore structures, as well as the influence of pore structures on CO2 capture. Systematic quantitative analysis of structure–property relationships, combined with machine learning approaches, can effectively evaluate the contributions of structural ...
Zhifu Liu +6 more
wiley +1 more source
Modelling how age-restricted location policies would impact tobacco retailer density in four US states: California, Connecticut, North Carolina and Ohio. [PDF]
Craigmile PF +9 more
europepmc +1 more source
Key Challenges for Commercializing Perovskite–Silicon Tandem Solar Cells
This review discusses the scientific and technological challenges in advancing perovskite–silicon tandem solar cells (PSTSCs) from lab‐scale to commercial viability, focusing on long‐term stability, scalability, and economic feasibility. Key issues include intrinsic and extrinsic degradation factors, installation conditions, environmental impacts, and ...
Bilal Mehmood +16 more
wiley +1 more source
The Guild Model of CF Airway Microbial Ecology. [PDF]
Dunham SJB +19 more
europepmc +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
Research on fine-tuning algorithms for Large Language Models integrating Uncertainty Modeling and External Memory Augmentation. [PDF]
Ma Y +7 more
europepmc +1 more source
Why add another catalyst when the product itself holds the power to catalyze its own formation? Autocatalysis in synthetic chemistry enhances reaction efficiency and uncovers novel catalytic behavior across both closed‐shell and open‐shell systems, expanding reactivity and enabling innovative design strategies.
Jaspreet Kaur, Joshua P. Barham
wiley +1 more source
This case study addressed educators\u27 perceptions regarding the low performance on state mathematics assessments among high school algebra students with learning disabilities in an alternative education program in a California school district. Vygotsky\
Choe, D. Sung
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