journal article·2022-10Open access

Optimal Composition of Li Argyrodite with Harmonious Conductivity and Chemical/Electrochemical Stability: Fine‐Tuned Via Tandem Particle Swarm Optimization (Adv. Sci. 28/2022)

Sunggeun Shim, Woon Bae Park, Jungmin Han, Jinhyeok Lee, Byung Do Lee, Jin‐Woong Lee, Jung Yong Seo, S. J. Richard Prabakar, Su Cheol Han, Satendra Pal Singh, Chan‐Cuk Hwang, Docheon Ahn, Sangil Han, Kyusung Park, Kee‐Sun Sohn, Myoungho Pyo

Advanced Science· Volume 9· Issue 28

Abstract

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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Research context

OpenAlex topics: Radioactive element chemistry and processing · Chemical Synthesis and Characterization · Polyoxometalates: Synthesis and Applications

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