Results 71 to 80 of about 27,067 (301)

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, Zachary T. Gossage, Shinichi Kumakura, Shinichi Komaba   +3 more
wiley   +1 more source

Biovac® Wastewater Treatment Plants in the Mountain National Parks

Technical Transactions, 2018
This paper presents characteristics of the Biovac® wastewater treatment plants operating in the mountain areas of the Polish national parks (NP): Tatrzanski NP and Babiogórski NP as well as in the West Spitsbergen NP. On the basis of the laboratory tests
Wilk Barbara K., Cimochowicz-Rybicka Małgorzata   +1 more
doaj   +1 more source

Volume changes in a filled elastomer studied via digital image correlation [PDF]

, 2012
Volumetric strains in a filled SBR specimen subjected to cyclic uniaxial tension with increasing extensions are studied. Digital image correlation is used to follow the kinematics of two orthogonal free faces.
DIANI, Julie, BRIEU, Mathias, BERGHEZAN, Daniel, CAILLARD, Julien, ROUX, Stéphane, DE CREVOISIER, Jordan, ZHANG, Huan, HILD, François, VION-LOISEL, Fabien, MERCKEL, Yannick, CRETON, Costantino, BESNARD, Gilles   +11 more
core   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

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, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

Tratabilidad del efluente de una tenería con presencia de cromo usando un reactor por carga secuencial

Revista Científica, 2010
Los efluentes industriales de las tenerías son altamente contaminantes por las elevadas concentraciones de materia orgánica, nitrógeno y metales pesados como el cromo que contienen.
María Carolina Pire Sierra, Jhonny Palmero, Ismenia Araujo, Altamira Díaz   +3 more
doaj  

Study on granulation and performance of aerobic sludge induced by intermittent sludge application in ultra-high salt environment

Gongye shui chuli
In the northern district of Alar city in the southern region, the presence of numerous textile printing and dyeing factories results in the generation of complex wastewater with high salinity due to the substantial water usage during the dyeing process ...
XIAO Fei, LIU Pengyuan, ZHAO Fengde, WANG Shimin   +3 more
doaj   +1 more source

A Closed‐Loop Direct Recycling Process for Prussian White From Scrap and End‐of‐Life Sodium‐Ion Batteries

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, Bowen Liu, Dongrui Xie, Joel Cornelio, Wilgner Lima da Silva, Manoj Mayaji Ovhal, Anton Zorin, Peter R. Slater, Emma Kendrick   +8 more
wiley   +1 more source

TgMAPK1 is an SBR gene.

, 2014
A. Venn diagram of whole genome sequencing data of codon-changing SNVs identified in each mutant. B. Amino acid positions of TgMAPK1SBR mutations. C. TgMAPK1SBR allelic replacement strategy.
Aaron McLain (577383), Ira J. Blader (353967), Marc Jan Gubbels (577386), Andrew Farrell (577382), Kevin M. Brown (182605), Graham B. Wiley (240943), Elena Suvorova (577381), Gabor Marth (577385), Michael White (28704), Ashley Dittmar (577384), Patrick M. Gaffney (192880)   +10 more
core   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

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, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

Letters From Portoalegre

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