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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534985/
http://dx.doi.org/10.1002/advs.202270182
Descripción
Sumario: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]

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