Origin of Optimal Composition and Density for Li‐Ion Diffusion in Amorphous Li–P–S Electrolytes
AI‐driven simulations reveal that Li–S4 coordination and pore evolution govern short‐range Li dynamics and thus ion transport in Li2S–P2S5 glasses. This unified framework explains the optimal conductivity near Li3PS4 and 1.8 g/cm³ and clarifies why excess free volume suppresses diffusion, offering design principles for high‐performance amorphous solid ...
Chihun Kim, Hyun‐Jae Lee, Byungju Lee
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Viewing social isolation as a complex dynamical system: A theoretical and computational framework. [PDF]
Abplanalp SJ, Maimone JS, Green MF.
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In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
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Training Load and Injuries in Volleyball: An Approach Based on Different Methods of Calculating Acute to Chronic Workload Ratio. [PDF]
Timoteo TF +4 more
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Model-based reinforcement learning for ultrasound-driven autonomous microrobots. [PDF]
Medany M +4 more
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A software platform for real-time and adaptive neuroscience experiments. [PDF]
Draelos A +11 more
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Investigating the average kiloelectron-volt emission of partially observed events in nuclear physics through distance weighted mean based censored control chart. [PDF]
Nisar S +3 more
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PSO-BiLSTM-Attention: An Interpretable Deep Learning Model Optimized by Particle Swarm Optimization for Accurate Ischemic Heart Disease Incidence Forecasting. [PDF]
Zhang R, Wang S, Sun W, Huo Y.
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