Person
Sokseiha Muy
This person is no longer with EPFL
Related publications (4)
AiiDA-defects: an automated and fully reproducible workflow for the complete characterization of defect chemistry in functional materials
Nicola Marzari, Sokseiha Muy, Conrad Johnston
Functional materials that enable many technological applications in our everyday lives owe their unique properties to defects that are carefully engineered and incorporated into these materials during processing. However, optimizing and characterizing thes ...
IOP Publishing Ltd2023Human- and machine-centred designs of molecules and materials for sustainability and decarbonization
Data-driven approaches based on high-throughput capabilities and machine learning hold promise in revolutionizing human-centred materials discovery for sustainability and decarbonization. This Review examines the strengths and limitations of different trad ...
NATURE PORTFOLIO2022On the design of solid-state Li-ion batteries
A model for the electrical double layer at solid-state electrochemical interfaces is reported, shedding some light on the design and optimization of future all-solid-state Li-ion batteries. ...
SPRINGERNATURE2021Phonon-Ion Interactions: Designing Ion Mobility Based on Lattice Dynamics
This review is focused on the influence of lattice dynamics on the ionic mobility in superionic conductors in particular solid-state Li-ion conductors. After a succinct review of the static view of ionic conduction, the role of polarizability as the underl ...
WILEY-V C H VERLAG GMBH2020