Results 101 to 110 of about 24,492,385 (310)

Numerical modelling of Li-S batteries

, 2022
Tato práce se zabývá modelováním a simulováním Li-S akumulátorů v programu Matlab. Práce popisuje vlastnosti těchto akumulátorů, jejich konstrukci a problémy, se kterými je jejich vývoj spojen.
Mezera, Petr
core   +2 more sources

Effects of Mg on Microstructure and Solidification of a Hypereutectic Zn–8 wt.%Al Alloy

Advanced Engineering Materials, EarlyView.
An appreciable set of results involving thermal data, microstructure, chemical composition, and microstructural growth laws is reported for ZnAlMg alloys. Such results demonstrate that ZnAlMg alloys have high potential for applications in automotive self‐lubricating components, batteries, and electrical systems.
Raí B. de Sousa, Jeverton L. Paixão, Daylla S. Silva, Bruno S. Sobral, Mucio D. de Medeiros, José E. Spinelli, Bismarck L. Silva   +6 more
wiley   +1 more source

Spatially Decoupled Sulfur Redox and Li+ Transport in Polymer Electrolytes for Solid-State Li-S Batteries

In poly(ethylene oxide) (PEO)-based solid-state Li-S batteries (SSLSBs), the stepwise sulfur redox reaction enables smooth energy delivery. However, concentrated polysulfides severely hinder Li+ transport and induce rapid performance degradation during ...
Han, Jaekyeong, Yi, Zhehan, Jiang, Cheng, Lee, Donghoon, Li, Jia, Lee, Jaeyoon, Wu, Angyin, Li, Zongkang, Seo, Dong-Hwa, Lee, Seok Woo   +9 more
core   +1 more source

Supporting AI Readiness Through Digital Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns, Lateef Abdul, Stephan Barth, Martin Glauer, Manuel Günther, Fabian Neuhaus, Jan‐Ole Perschewski, Thomas Bjarsch, Henrik Abel, Johannes Bosch, Niklas Meyer, Peter Hofmann, Marc Drechsler, Alexander Dyck, Dhanunjaya Kumar Nerella, Marvin Tegeler, Oleg Shchyglo, Ingo Steinbach, Timo Klecker, Henk Birkholz, Ehsan Borzabadi Farahani, Bernard Fedelich, Cetin Haftaoglu, Tarakeshwar Lakshmipathy, Elena Garcia Trelles, Christoph Schweizer, Reza Darvishi Kamachali, Lukas Koschmieder, Janin Eiken, Markus Apel, Sung‐Min Wi, Jiangdong Zhao, Andreas Fezer, Nicolas Christ, Patrick Schneider, Eldor Urinov, Veit Königer, Volker Knoblauch, Janik Harter, Thomas Seifert, Thitichai Janpheng, Florian Fuchs, Fabian Teichert, Jörg Schuster, Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann, Felix Wentzien, Heike Wittek, Benjamin Klie, Alexander Röhrs, Ludger Overmeyer, Achraf Atila, Marcel Sadowski, Leopold Talirz, Jan Janssen, Jesper R. Pedersen, Peter Beck, Tejs Vegge, Ivano E. Castelli, Wolfgang Wenzel, Tilmann Hickel, Jörg Schaarschmidt   +67 more
wiley   +1 more source

DNA-Guided Li₂S Nanostructure Deposition for High-Sulfur-Loaded Li–S Batteries

The low areal capacity caused by low sulfur loading (
Tao Chen (75911), Seunghyun Song (1439536), Joonho Bae (16363584), Man Li (81239), Yang Li (7082)   +4 more
core   +1 more source

Pristine MOF Materials for Separator Application in Lithium–Sulfur Battery

Advanced Science
Lithium–sulfur (Li–S) batteries have attracted significant attention in the realm of electronic energy storage and conversion owing to their remarkable theoretical energy density and cost‐effectiveness.
Zhibin Cheng, Jie Lian, Jindan Zhang, Shengchang Xiang, Banglin Chen, Zhangjing Zhang   +5 more
doaj   +1 more source

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

Advanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose, Sanxchep Sharma, Veit Königer, Vincent Nebel, Jonas Oehm, Christian Weisenberger, Laura Bies, Volker Knoblauch   +7 more
wiley   +1 more source

Recognizing the Mechanism of Sulfurized Polyacrylonitrile Cathode Materials for Li-S Batteries and beyond in Al-S Batteries

, 2018
Sulfurized polyacrylonitrile (SPAN) is the most promising cathode for next-generation lithium-sulfur (Li-S) batteries due to the much improved stability. However, the molecular structure and reaction mechanism have not yet been fully understood.
Wahyudi W., Cavallo L., Wang W., Abou-Hamad E., Ming J., Wu Y., Emwas A. -H., Cao Z., Li L. -J., Elia G. A.   +9 more
core   +1 more source

Fluorinated Reduced Graphene Oxide as an Interlayer in Li–S Batteries

Chemistry of Materials, 2015
We report on the synthesis of fluorinated reduced graphene oxide (F-rGO) by a direct fluorination of reduced graphene oxide (rGO) with F2 or XeF2/BF3 in anhydrous HF. Characterization performed by high-angle annular dark-field (HAADF)-scanning transmission electron microscopy (STEM) and NMR confirmed the formation of C–F bonds, which is also supported ...
Vizintin, A., Lozinšek, M., Chellappan, R.K., Foix, Dominique, Krajnc, A., Mali, G., Drazic, G., Genorio, B., Dedryvère, Rémi, Dominko, R.   +9 more
openaire   +2 more sources

New Composite Cathode Materials for Li/S Batteries: A Review

International Journal of Electrochemical Science, 2013
This paper reviews the state-of-art of composite cathode materials for the applications in lithium/sulfur (Li/S) batteries. An attempt is made to highlight those key issues in previous work that have stimulated further research toward practical ...
Andrea Fedorková, Renáta Oriňáková, Ondřej Čech, Marie Sedlaříková   +3 more
doaj   +1 more source