Novel metal-organic framework adsorbents for efficient storage of hydrogen

Project Information

MOST-H2

Grant agreement ID: 101058547

DOI

10.3030/101058547

EC signature date 24 May 2022

Start date 1 June 2022

End date 31 May 2026

Funded under

• Digital, Industry and Space

Total cost

€ 4 917 262,50

EU contribution

€ 4 917 262,50

Coordinated by

"NATIONAL CENTER FOR SCIENTIFIC RESEARCH ""DEMOKRITOS"""
Greece

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Websites, patent fillings, videos etc. (2)

Promotional video

Promotional video - linked to T6.2

Promotional toolkit and website

Promotional toolkit and website - - linked to T6.2

Documents, reports (4)

Cradle-to-gate LCA and LCC of MOST-H2 MOFs: version 1

Cradle-to-gate LCA and LCC of MOST-H2 MOFs: version 1 - linked to T5.1

Cradle-to-gate LCA and LCC of MOST-H2 MOFs: version 3

Cradle-to-gate LCA and LCC of MOST-H2 MOFs: version 3 - linked to T5.1

Initial TEA on FCH trains H2 storage applications

Initial TEA on FCH trains H2 storage applications - linked to T5.2

Cradle-to-gate LCA and LCC of MOST-H2 MOFs: version 2

Cradle-to-gate LCA and LCC of MOST-H2 MOFs: version 2 - linked to T5.1

Publications

Peer reviewed articles (9)

Gas adsorption meets deep learning: voxelizing the potential energy surface of metal-organic frameworks

Author(s): Antonios P. Sarikas, Konstantinos Gkagkas, George E. Froudakis
Published in: Scientific Reports, Issue 14, 2024, ISSN 2045-2322
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/S41598-023-50309-8

Scientific Reports

Author(s): A. P. Sarikas, K. Gkagkas, G. E. Froudakis
Published in: Scientific Reports, Issue 5, 2024, ISSN 2045-2322
Publisher: Nature
DOI: 10.1038/s41598-023-50309-8

Gas adsorption meets geometric deep learning: points, set and match

Author(s): Antonios P. Sarikas, Konstantinos Gkagkas, George E. Froudakis
Published in: Scientific Reports, Issue 14, 2024, ISSN 2045-2322
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/S41598-024-76319-8

Improved thermal management in HKUST-1 composites upon graphite flakes incorporation: Hydrogen adsorption properties

Author(s): Farrando Pérez, Judit; Rodríguez-Castillo, María; Martinez-Escandell, Manuel; Monge, Miguel; Silvestre-Albero, Joaquín
Published in: International Journal of Hydrogen Energy, Issue 1, 2023, ISSN 1879-3487
Publisher: Elsevier
DOI: 10.1016/J.IJHYDENE.2023.05.357

MOFSynth: A Computational Tool toward Synthetic Likelihood Predictions of MOFs

Author(s): Charalampos G. Livas, Pantelis N. Trikalitis, George E. Froudakis
Published in: Journal of Chemical Information and Modeling, Issue 64, 2024, ISSN 1549-9596
Publisher: American Chemical Society (ACS)
DOI: 10.1021/ACS.JCIM.4C01298

Expanding the Reticular Chemistry Building Block Library toward Highly Connected Nets: Ultraporous MOFs Based on 18-Connected Ternary, Trigonal Prismatic Superpolyhedra

Author(s): K. G. Froudas, M. Vassaki, K. Papadopoulos, C. Tsangarakis, X. Chen, W. Shepard, D. Fairen-Jimenez, Ch. Tampaxis, G. Charalambopoulou, Th. A. Steriotis, P. N. Trikalitis
Published in: Journal of the American Chemical Society, Issue 6, 2024, ISSN 1520-5126
Publisher: ACS Publications
DOI: 10.1021/jacs.3c12679

Aspects of Gas Storage: Confined Geometry Effects on the High-Pressure Adsorption Behavior of Supercritical Fluids

Author(s): S. Eder, P. Guggenberger, T. Priamushko, F. Kleitz, M. Thommes*
Published in: Langmuir, Issue 4, 2024, ISSN 1520-5827
Publisher: American Chemical Society
DOI: 10.1021/acs.langmuir.3c02841

Reticular Synthesis of Flexible Rare-Earth Metal-Organic Frameworks: Control of Structural Dynamics and Sorption Properties Through Ligand Functionalization

Author(s): E. Loukopoulos, G. Angeli, C. Tsangarakis, E. Traka, K. Froudas, P. Trikalitis
Published in: Chemistry – A European Journal, 2023, ISSN 1521-3765
Publisher: Wiley-VCH GmbH
DOI: 10.1002/chem.202302709

Comparison of machine learning approaches for the identification of top-performing materials for hydrogen storage

Author(s): A. P. Sarikas a, G. S. Fanourgakis,K. Gkagkas, G. E. Froudakis
Published in: Sustainable Chemistry for the Environment, Issue 3, 2023, ISSN 2949-8392
Publisher: Elsevier
DOI: 10.1016/j.scenv.2023.100056