Results 71 to 80 of about 34,945 (232)
Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries
Advanced Energy Materials, EarlyView.This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee +3 more
wiley +1 more source
Advanced Energy Materials, EarlyView.A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan +12 more
wiley +1 more source
Capturing Thought Dynamics: Modeling the Structure of Spontaneous Associations. [PDF]
Cogn SciAbstract Human thought unfolds in patterns that vary across individuals; some move fluidly across ideas, whereas others return to narrower or more repetitive paths. Here, we asked whether structural aspects of associative thinking—its breadth, trajectory, and temporal pace—can account for individual differences in repetitive thought styles such as ...
Vardi N, Lazebnik T, Bar M.
europepmc +2 more sources
Advanced Energy Materials, EarlyView.A closed‐loop direct recycling route for Prussian White sodium‐ion battery cathodes is demonstrated. Ice‐stripped scrap and end‐of‐life electrodes are regenerated via low‐temperature aqueous resodiation (80°C), restoring sodium content, Fe2+ redox chemistry, and structural integrity.
Subha Samanta +8 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Global Rheumatology, 2020 We live in an extraordinary time. Technology allows knowledge to make dreams and reach distances that recall the title of the television series created by Rod Sterling in the transition of the 1950s and 1960s, leading us to the Unknown Dimension.
Fernando Neubarth
doaj +1 more source
Prediction of First and Recurrent Falls in Parkinson's Disease
Annals of Neurology, EarlyView.Objective To develop and externally validate prediction models for next‐year falls in Parkinson's disease (PD), and to evaluate the incremental value of imaging and fluid biomarkers. Methods We developed models in Parkinson's Progression Markers Initiative (PPMI) to predict next‐year falls with external validation in University of Pennsylvania (UPenn ...
Joaquin A. Vizcarra +13 more
wiley +1 more source
The heroic act of washing hands
Global Rheumatology, 2020 In public health everything is recent. Demonstrations of which germs cause disease are just over a century and a half old. Pasteur, Lister, Koch... And before them, Ignaz Semmelweis believed in that, too.
Fernando Neubarth
doaj +1 more source
, 2010 Conocer funcionamiento de un reactor SBR y sus cilcoshttps://media.upv.es/player/?id=4847a1e0-021d-11e6-851a-656f7e06a374López Pérez, MF. (2010). Reactor SBR.
López Pérez, Maria Fernanda
core
Gongye shui chuliWith the massive use of oxytetracycline(OTC), OTC pollution in pig farm wastewater is becoming increasingly severe, posing a threat to the surrounding environment and ecological security.
LU Hang +5 more
doaj +1 more source