Exploring the dynamic behaviour of zeolites and their active sites under operando conditions

Project Information

ZEOLANDO

Grant agreement ID: 101180584

DOI

10.3030/101180584

Project closed

EC signature date 10 June 2024

Start date 1 August 2024

End date 31 July 2026

Funded under

• Widening participation and spreading excellence

Total cost

No data

EU contribution

€ 150 438,72

Coordinated by

UNIVERZITA KARLOVA
Czechia

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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

Documents, reports (1)

Communication, Dissemination & Exploitation Plan

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

Data Management Plan (1)

Data Management Plan

Draft Data Management (DMP) in collaboration with my supervisor, Charles University's Open Science Support Centre and the Centre for Transfer of Knowledge and Technology. The DMP will be discussed every 6 months with the supervisor

Publications

Peer reviewed articles (3)

Aluminium siting in zeolite RTH from a combined machine learning – NMR approach

Author(s): Daniel Willimetz; Joaquin Martínez-Ortigosa; Deborah Brako-Amoafo; Lukáš Grajciar; J. Alejandro Vidal-Moya; Carlos Bornes; Vincent Sarou-Kanian; Fernando Rey; Teresa Blasco; Christopher J. Heard
Published in: Journal of Materials Chemistry A, 2026, ISSN 2050-7496
Publisher: Royal Society of Chemistry
DOI: 10.1039/D5TA09253A

A machine learning approach for dynamical modelling of Al distributions in zeolites <i>via</i>²³Na/²⁷Al solid-state NMR

Author(s): Chen Lei; Carlos Bornes; Oscar Bengtsson; Andreas Erlebach; Ben Slater; Lukas Grajciar; Christopher J. Heard
Published in: Faraday Discussions, 2025, ISSN 1364-5498
Publisher: Royal Society of Chemistry
DOI: 10.1039/D4FD00100A

Big data and simulations in NMR crystallography: general discussion

Author(s): Sharon E. Ashbrook; Gregory J. O. Beran; Jan Blahut; Frédéric Blanc; Carlos Bornes; Lee Brammer; Steven P. Brown; Thibault Charpentier; Martin Dračínský; Marta K. Dudek; Lyndon Emsley; Carl H. Fleischer; Andrew L. Goodwin; Angela F. Harper; Kenneth D. M. Harris; Paul Hodgkinson; Michael A. Hope; Colan E. Hughes; Simone S. Köcher; Zhiyuan Li; Andrew J. Morris; Leonard J. Mueller; Sten O. Nilsson Lill; Sarah L. Price; Benjamin J. Rhodes; Daria Torodii
Published in: Faraday Discussions, 2025, ISSN 1364-5498
Publisher: Royal Society of Chemistry
DOI: 10.1039/D4FD90054E