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Yossi Bokor Bleile on Muck Rack

Yossi Bokor Bleile

As seen in: Nature, PLOS
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Articles

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

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By Matteo Pegoraro, Rasmus Christensen, Søren S. Sørensen, Tao Du, Yossi Bokor Bleile, Anne Marie Svane, Lisbeth Fajstrup, Morten M. Smedskjaer, Anders R. Lindbjerg, Christophe A. N. Biscio
| Nature Verified
Abstract 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 topological properties of the electrolyte material’s atomic structure with a weighted graph based on periodic boundary conditions.
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Persistence diagrams as morphological signatures of cells: A method to measure and compare cells within a population

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By Pooja Yadav, Patrice Koehl, Florian Rehfeldt, Yossi Bokor Bleile
| PLOS
Loading metrics Open Access Peer-reviewed Research Article ? This is an uncorrected proof. Citation: Bokor Bleile Y, Yadav P, Koehl P, Rehfeldt F (2026) Persistence diagrams as morphological signatures of cells: A method to measure and compare cells within a population. PLoS Comput Biol 22(1): e1013890.
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