SOURCE-LINKED INTELLIGENCE
Hydrogen Storage in Electric Field Responsive Metal Organic Frameworks Studied by Machine Learning Potentials
Hydrogen Storage in Electric Field Responsive Metal Organic Frameworks Studied by Machine Learning Potentials Hydrogen storage is a key technological barrier to the development and widespread use of hydrogen energy in transportation, stationary, and portable applications. The safe and efficient storage of H2 is an important and still challenging issue. In this regard, metal-organic frameworks (MOFs) possessing large surface areas, a variety of topological/chemical structures, high porosities, and high stabilities are considered promising nanoporous materials for gas storage applications. Theoretical studies have shown that electric fields can promote gas storage in MOFs by inducing controlled structural changes, which has recently been experimentally confirmed. To unravel the underlying mechanisms at the atomic level, I aim to investigate the H2 storage characteristics of electric field responsive MOFs by combining machine learning (ML) and molecular modeling method
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- recordType
- award
- status
- CLOSED
- region
- EU
- value
- 189687.36
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T00:21:03.701Z. This is not the publication date.