SOURCE-LINKED INTELLIGENCE

Harnessing Localized Charges for Advancing Polar Materials Engineering

CORDIS · observation · Publication date unknown

ghts into the consequences of charge localization. It will develop holistic models that elucidate the interplay of effects that charge localization can have on various material properties, leveraging machine learning methods to study charge localization at varying temperatures, and identifying experimental signatures for their reliable detection. By achieving these objectives, POLARISE will revolutionize our fundamental understanding and control of charge localization within complex materials. This breakthrough promises to not only advance material science but also unlock novel opportunities across various other fields. It will significantly contribute to improving semiconductor technologies, such as solar or photoelectrocatalytic cells, and enable precise identification of localized charges in experimental settings, pushing the boundaries of knowledge and technological possibilities. Polar materials, semiconductors, halide perovskites, metal oxides, charge localization, polarons, self-trapped excitons, density functional theory

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recordType

award

status

SIGNED

region

EU

value

1500000

unit

EUR