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Author

M. Smedskjaer

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Open access Aug 2026

Predicting ionic conductivity of sulfide glass solid-state electrolytes using max-flow methodology

Disordered materials such as glasses are promising candidates as solid-state electrolytes for batteries, but they tend to exhibit low ionic conductivity and current methods for investigating and predicting the ionic conductivity of electrolyte materials are inefficient. Here, we propose a framework that summarizes the...

M. Pegoraro, Rasmus Christensen, S. S. Sørensen et al. · 0 citations
Aug 2026

Atomistic Simulation of Glasses and Amorphous Materials: Challenges and Opportunities for the Next Decade

This perspective examines three interconnected issues, namely, glass formation procedures, interatomic potential development, and machine learning applications, which emerged from the 5th International Workshop on Challenges of Atomistic Simulations of Glasses and Amorphous Materials.

N. A. Anoop Krishnan, A. Pedone, Xiao-Nan Lu et al. · 0 citations

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