Projects funded by the NCN
Data-driven materials design: Artificial Intelligence as a tool supporting the synthesis of nanocomposites with hierarchical porosity for electrocatalytic applications.
2023/49/B/ST5/02403
Keywords:
hierarchical porosity carbon nanocomposites electrocatalysis machine learning synthesis
Descriptors:
- ST5_13: Research methods on materials/nanomaterials properties
- ST5_9: Biomaterials, biocompatible materials
- ST6_7: Artificial intelligence, intelligent systems, multi-agent systems
Panel:
ST5 - Materials: materials synthesis, structure-properties relations, advanced and functional materials with designed properties, (macro)molecular architecture, material engineering
Host institution :
Uniwersytet Medyczny w Białymstoku
woj. podlaskie
Principal investigator (from the host institution):
prof. Marta Płońska-Brzezińska
Number of co-investigators in the project: 11
Call: OPUS 25 - announced on 2023-03-16
Amount awarded: 2 531 256 PLN
Project start date (Y-m-d): 2024-06-25
Project end date (Y-m-d): 2028-06-24
Project duration:: 48 months (the same as in the proposal)
Project status: Pending project
Project description
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