Publication | Open Access
Optimal Composition of Li Argyrodite with Harmonious Conductivity and Chemical/Electrochemical Stability: Fine‐Tuned Via Tandem Particle Swarm Optimization
23
Citations
65
References
2022
Year
A tandem (two-step) particle swarm optimization (PSO) algorithm is implemented in the argyrodite-based multidimensional composition space for the discovery of an optimal argyrodite composition, i.e., with the highest ionic conductivity (7.78 mS cm<sup>-1</sup> ). To enhance the industrial adaptability, an elaborate pellet preparation procedure is not used. The optimal composition (Li<sub>5.5</sub> PS<sub>4.5</sub> Cl<sub>0.89</sub> Br<sub>0.61</sub> ) is fine-tuned to enhance its practical viability by incorporating oxygen in a stepwise manner. The final composition (Li<sub>5.5</sub> PS<sub>4.23</sub> O<sub>0.27</sub> Cl<sub>0.89</sub> Br<sub>0.61</sub> ), which exhibits an ionic conductivity (σ<sub>ion</sub> ) of 6.70 mS cm<sup>-1</sup> and an activation barrier of 0.27 eV, is further characterized by analyzing both its moisture and electrochemical stability. Relative to the other compositions, the exposure of Li<sub>5.5</sub> PS<sub>4.23</sub> O<sub>0.27</sub> Cl<sub>0.89</sub> Br<sub>0.61</sub> to a humid atmosphere results in the least amount of H<sub>2</sub> S released and a negligible change in structure. The improvement in the interfacial stability between the Li(Ni<sub>0.9</sub> Co<sub>0.05</sub> Mn<sub>0.05</sub> )O<sub>2</sub> cathode and Li<sub>5.5</sub> PS<sub>4.23</sub> O<sub>0.27</sub> Cl<sub>0.89</sub> Br<sub>0.61</sub> also results in greater specific capacity during fast charge/discharge. The structural and chemical features of Li<sub>5.5</sub> PS<sub>4.5</sub> Cl<sub>0.89</sub> Br<sub>0.61</sub> and Li<sub>5.5</sub> PS<sub>4.23</sub> O<sub>0.27</sub> Cl<sub>0.89</sub> Br<sub>0.61</sub> argyrodites are characterized using synchrotron X-ray diffraction, Raman spectroscopy, and X-ray photoelectron spectroscopy. This work presents a novel argyrodite composition with favorably balanced properties while providing broad insights into material discovery methodologies with applications for battery development.
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