Coupling Lattice Distortion and Cation Disorder to Control Li-ion Transport in Cation-Disordered Rocksalt Oxides
Zichang Zhang, Lihua Feng, Jiewei Cheng, Peng-Hu Du, Chu-Liang Fu, Jian Peng, Shuo Wang, Dingguo Xia, Xueliang Sun, and Qiang Sun

TL;DR
This paper demonstrates that lattice distortion actively influences Li+ ion transport in cation-disordered rocksalt oxides, enabling improved capacity predictions and guiding the design of high-performance cathode materials.
Contribution
It introduces a lattice-responsive framework combining Monte Carlo sampling and machine learning to predict ion transport, revealing the causal role of lattice distortion in enhancing percolation networks.
Findings
Quantitative prediction of Li+ percolation within 5% of experimental data.
Lattice distortion activates Li+ migration through 1-TM channels.
Designed high-entropy oxide achieves 71.9% percolation, surpassing previous materials.
Abstract
Cation-disordered solids offer a rich chemical landscape where local coordination, lattice responses, and configurational disorder collectively, yet often implicitly, govern ion transport. In cation-disordered rocksalt oxides, Li+ diffusion has conventionally been rationalized by the static 0-transition-metal (0-TM) percolation rule, which assumes an ideal, passive lattice and thus fails to capture experimentally accessible capacities. Here, we show that lattice distortion is an essential, previously overlooked degree of freedom that actively reshapes Li+ percolation networks. By developing a lattice-responsive framework combining Monte Carlo sampling of cation configurations with machine-learning-accelerated molecular dynamics, we quantitatively predict Li+ percolation and electrochemical capacities within 5% of experiment. Our results reveal a causal coupling between lattice…
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Taxonomy
TopicsAdvancements in Battery Materials · Advanced Battery Materials and Technologies · Thermal Expansion and Ionic Conductivity
