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Deep multi-scale modelling of electrified metal oxide nanostructures

Project description

A deep dive into the electrified water-metal oxide interface at the nanoscale

Nanomaterials and nanotechnology have revolutionised applications from sensing to energy. The extremely small-scale structures of nanomaterials simultaneously afford them unique and exotic properties not seen in bulk materials – and help them get into tight spaces in the environment and the human body to which they perhaps should not have access. Nanoscale particles of metal oxide-based materials form an electric double layer at interfaces with liquids, the nature of which likely plays an integral role in the materials' functioning and degradation; yet, very little is known about this reactive region. The EU-funded DeepProton project will develop a deep learning-based multiscale modelling framework to gain insights for the benefit of safety, design and control.

Call for proposal

ERC-2020-STG
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Host institution

UPPSALA UNIVERSITET
Address
Von Kraemers Alle 4
751 05 Uppsala
Sweden
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 1 400 600

Beneficiaries (1)

UPPSALA UNIVERSITET
Sweden
EU contribution
€ 1 400 600
Address
Von Kraemers Alle 4
751 05 Uppsala
Activity type
Higher or Secondary Education Establishments