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Optimal Composition of Li Argyrodite with Harmonious Conductivity and Chemical/Electrochemical Stability: Fine‐Tuned Via Tandem Particle Swarm Optimization (Adv. Sci. 28/2022)
Tandem Particle Swarm Optimization In article number 2201648 by Kee‐Sun Sohn, Myoungho Pyo, and co‐workers, a two‐step optimization algorithm (tandem particle swarm optimization) is applied to rapidly identify the optimal argyrodite with the highest attainable σ (ion) in a multidimensional search sp...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534985/ http://dx.doi.org/10.1002/advs.202270182 |
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author | Shim, Sunggeun Park, Woon Bae Han, Jungmin Lee, Jinhyeok Lee, Byung Do Lee, Jin‐Woong Seo, Jung Yong Prabakar, S. J. Richard Han, Su Cheol Singh, Satendra Pal Hwang, Chan‐Cuk Ahn, Docheon Han, Sangil Park, Kyusung Sohn, Kee‐Sun Pyo, Myoungho |
author_facet | Shim, Sunggeun Park, Woon Bae Han, Jungmin Lee, Jinhyeok Lee, Byung Do Lee, Jin‐Woong Seo, Jung Yong Prabakar, S. J. Richard Han, Su Cheol Singh, Satendra Pal Hwang, Chan‐Cuk Ahn, Docheon Han, Sangil Park, Kyusung Sohn, Kee‐Sun Pyo, Myoungho |
author_sort | Shim, Sunggeun |
collection | PubMed |
description | Tandem Particle Swarm Optimization In article number 2201648 by Kee‐Sun Sohn, Myoungho Pyo, and co‐workers, a two‐step optimization algorithm (tandem particle swarm optimization) is applied to rapidly identify the optimal argyrodite with the highest attainable σ (ion) in a multidimensional search space involving a huge number of compositions and processing conditions. Each particle (bee) is searching for the best candidate by exchanging information through the social behavior. The identified argyrodite exhibits enhanced σ (ion) and improved stability against moisture and high voltage and, as an all‐solid‐state battery, would deliver higher capacities, particularly during fast charge–discharge cycles. [Image: see text] |
format | Online Article Text |
id | pubmed-9534985 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95349852022-10-11 Optimal Composition of Li Argyrodite with Harmonious Conductivity and Chemical/Electrochemical Stability: Fine‐Tuned Via Tandem Particle Swarm Optimization (Adv. Sci. 28/2022) Shim, Sunggeun Park, Woon Bae Han, Jungmin Lee, Jinhyeok Lee, Byung Do Lee, Jin‐Woong Seo, Jung Yong Prabakar, S. J. Richard Han, Su Cheol Singh, Satendra Pal Hwang, Chan‐Cuk Ahn, Docheon Han, Sangil Park, Kyusung Sohn, Kee‐Sun Pyo, Myoungho Adv Sci (Weinh) Back Cover Tandem Particle Swarm Optimization In article number 2201648 by Kee‐Sun Sohn, Myoungho Pyo, and co‐workers, a two‐step optimization algorithm (tandem particle swarm optimization) is applied to rapidly identify the optimal argyrodite with the highest attainable σ (ion) in a multidimensional search space involving a huge number of compositions and processing conditions. Each particle (bee) is searching for the best candidate by exchanging information through the social behavior. The identified argyrodite exhibits enhanced σ (ion) and improved stability against moisture and high voltage and, as an all‐solid‐state battery, would deliver higher capacities, particularly during fast charge–discharge cycles. [Image: see text] John Wiley and Sons Inc. 2022-10-05 /pmc/articles/PMC9534985/ http://dx.doi.org/10.1002/advs.202270182 Text en © 2022 Wiley‐VCH GmbH https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Back Cover Shim, Sunggeun Park, Woon Bae Han, Jungmin Lee, Jinhyeok Lee, Byung Do Lee, Jin‐Woong Seo, Jung Yong Prabakar, S. J. Richard Han, Su Cheol Singh, Satendra Pal Hwang, Chan‐Cuk Ahn, Docheon Han, Sangil Park, Kyusung Sohn, Kee‐Sun Pyo, Myoungho Optimal Composition of Li Argyrodite with Harmonious Conductivity and Chemical/Electrochemical Stability: Fine‐Tuned Via Tandem Particle Swarm Optimization (Adv. Sci. 28/2022) |
title | Optimal Composition of Li Argyrodite with Harmonious Conductivity and Chemical/Electrochemical Stability: Fine‐Tuned Via Tandem Particle Swarm Optimization (Adv. Sci. 28/2022) |
title_full | Optimal Composition of Li Argyrodite with Harmonious Conductivity and Chemical/Electrochemical Stability: Fine‐Tuned Via Tandem Particle Swarm Optimization (Adv. Sci. 28/2022) |
title_fullStr | Optimal Composition of Li Argyrodite with Harmonious Conductivity and Chemical/Electrochemical Stability: Fine‐Tuned Via Tandem Particle Swarm Optimization (Adv. Sci. 28/2022) |
title_full_unstemmed | Optimal Composition of Li Argyrodite with Harmonious Conductivity and Chemical/Electrochemical Stability: Fine‐Tuned Via Tandem Particle Swarm Optimization (Adv. Sci. 28/2022) |
title_short | Optimal Composition of Li Argyrodite with Harmonious Conductivity and Chemical/Electrochemical Stability: Fine‐Tuned Via Tandem Particle Swarm Optimization (Adv. Sci. 28/2022) |
title_sort | optimal composition of li argyrodite with harmonious conductivity and chemical/electrochemical stability: fine‐tuned via tandem particle swarm optimization (adv. sci. 28/2022) |
topic | Back Cover |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534985/ http://dx.doi.org/10.1002/advs.202270182 |
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