A Design Principle for Predicting Flexible Metal-Organic Frameworks

Informations projet

FlexiMOFs-2

N° de convention de subvention: 101107360

DOI

10.3030/101107360

Projet clôturé

Date de signature de la CE 3 Mai 2023

Date de début 1 Septembre 2023

Date de fin 31 Août 2025

Financé au titre de

• Marie Skłodowska-Curie Actions (MSCA)

Coût total

Aucune donnée

Contribution de l’UE

€ 173 847,36

Coordonné par

TECHNISCHE UNIVERSITAET DRESDEN
Germany

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Documents, reports (1)

Communication, Dissemination & Exploitation Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Publications

Peer reviewed articles (3)

A framework for evaluating the chemical knowledge and reasoning abilities of large language models against the expertise of chemists

Auteurs: Adrian Mirza; Nawaf Alampara; Sreekanth Kunchapu; Martiño Ríos-García; Benedict Emoekabu; Aswanth Krishnan; Tanya Gupta; Mara Schilling-Wilhelmi; Macjonathan Okereke; Anagha Aneesh; Mehrdad Asgari; Juliane Eberhardt; Amir Mohammad Elahi; Hani M. Elbeheiry; María Victoria Gil; Christina Glaubitz; Maximilian Greiner; Caroline T. Holick; Tim Hoffmann; Abdelrahman Ibrahim; Lea C. Klepsch; Yannik Köster; Fabian Alexander Kreth; Jakob Meyer; Santiago Miret; Jan Matthias Peschel; Michael Ringleb; Nicole C. Roesner; Johanna Schreiber; Ulrich S. Schubert; Leanne M. Stafast; A. D. Dinga Wonanke; Michael Pieler; Philippe Schwaller; Kevin Maik Jablonka
Publié dans: Nature Chemistry, 2025, ISSN 1755-4349
Éditeur: Springer Nature
DOI: 10.1038/S41557-025-01815-X

Engineering Photoswitching Dynamics in 3D Photochromic Metal–Organic Frameworks through a Metal–Organic Polyhedron Design

Auteurs: Eunji Jin; Volodymyr Bon; Shubhajit Das; A. D. Dinga Wonanke; Martin Etter; Martin A. Karlsen; Ankita De; Nadine Bönisch; Thomas Heine; Stefan Kaskel
Publié dans: Journal of the American Chemical Society, 2024, ISSN 1520-5126
Éditeur: American Chemical Society
DOI: 10.1021/JACS.4C17203

The Black Hole Strategy: Gravity-Based Representative Sampling for Frugal Graph Learning on Metal–Organic Framework Networks

Auteurs: Mehrdad Jalali, A. D. Dinga Wonanke, Pascal Friederich, Christof Wöll
Publié dans: Journal of Chemical Information and Modeling, Numéro 65, 2025, ISSN 1549-9596
Éditeur: American Chemical Society (ACS)
DOI: 10.1021/ACS.JCIM.5C01518