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 σion 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 σion 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.
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