A Design Principle for Predicting Flexible Metal-Organic Frameworks

Informazioni relative al progetto

FlexiMOFs-2

ID dell’accordo di sovvenzione: 101107360

DOI

10.3030/101107360

Progetto chiuso

Data della firma CE 3 Maggio 2023

Data di avvio 1 Settembre 2023

Data di completamento 31 Agosto 2025

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 173 847,36

Coordinato da

TECHNISCHE UNIVERSITAET DRESDEN
Germany

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I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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.

Pubblicazioni

Peer reviewed articles (3)

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

Autori: 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
Pubblicato in: Nature Chemistry, 2025, ISSN 1755-4349
Editore: Springer Nature
DOI: 10.1038/S41557-025-01815-X

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

Autori: Eunji Jin; Volodymyr Bon; Shubhajit Das; A. D. Dinga Wonanke; Martin Etter; Martin A. Karlsen; Ankita De; Nadine Bönisch; Thomas Heine; Stefan Kaskel
Pubblicato in: Journal of the American Chemical Society, 2024, ISSN 1520-5126
Editore: 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

Autori: Mehrdad Jalali, A. D. Dinga Wonanke, Pascal Friederich, Christof Wöll
Pubblicato in: Journal of Chemical Information and Modeling, Numero 65, 2025, ISSN 1549-9596
Editore: American Chemical Society (ACS)
DOI: 10.1021/ACS.JCIM.5C01518