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Machine Learning-Assisted Design of Metal Hydride Alloys for Hydrogen Applications using CALPHAD Predictive Modelling

2023/05/Y/ST3/00249

Keywords:

metal hydrides machine learning energy storage

Descriptors:

ST3_01:
ST4_11:

Panel:

ST3 - Condensed matter physics: structure, electronic properties, fluids, nanosciences, biological physics

Host institution :

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

woj.

Other projects carried out by the institution

Principal investigator (from the host institution):

dr hab. Łukasz Gondek

Number of co-investigators in the project:

Call: M-ERA.NET 3 Call 2023

Amount awarded: 768 612 PLN

Project start date (Y-m-d): 2024-07-01

Project end date (Y-m-d): 2027-06-30

Project duration:: 36 months (the same as in the proposal)

Project status: Pending project

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Machine Learning-Assisted Design of Metal Hydride Alloys for Hydrogen Applications using CALPHAD Predictive Modelling

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Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

Machine Learning-Assisted Design of Metal Hydride Alloys for Hydrogen Applications using CALPHAD Predictive Modelling

O Narodowym Centrum Nauki

Finansowanie nauki

Współpraca zagraniczna

Centrum prasowe

Partnerzy