Recent News

Thumbnail of NFDI-Knowledge Graph - NFDI4Chem Second overview of NFDI collaborations published - This overview provides information on the collaborations, the number of which has doubled since the last publication. Continue reading
Illustration: A squirrel as a symbol for the InChI code v1.07, which turns to FAIR leaves. IUPAC InChI moves to GitHub for sustainable chemical standards - The latest version 1.07 of the International Chemical Identifier has been approved. Continue reading
Thumbnail Jochen Ortmeyer, John Jolliffe, Samantha Pearman-Kanza and Nicola Knight presenting a "I love Data"-Mascot. National Infrastructures on an international stage - NFDI4Chem attends the 9th EuChemS Chemistry Congress in Dublin Continue reading
Participants of the Chemotion-Hackathon June 23 Chemotion Hackathon 2024 - In June 2024, a hackathon took place at the TU Braunschweig with members from 4 working groups for Theoretical Chemistry. Continue reading
DFG-Logo Interim Report published - Our latest report highlights our steps to integrate a data-centric approach within the chemistry community. Continue reading
Thumbnail Logo Uni Ulm Ulm University joins NFDI4Chem  - Since the beginning of June 24, Ulm University has been an official participating institution of NFDI4Chem. Continue reading
thumbnail newspaper Advancing Digital Transformation in Chemistry - 2 new publications highlight the current state and progress of the digital transformation in chemistry. Continue reading
Logo NFDI Speakers for NFDI-Sections - We are pleased and proud that two of the sections will be chaired by co-speakers from NFDI4Chem. Continue reading
Thumbnail of Status Tracking notifications Updates on Chemotion Repository - In this version, we've enhanced the data transfer process for greater efficiency and reliability, along with several other updates and improvements. Continue reading
eurosampl-Logo - NFDI4Chem First euroSAMPL blind prediction challenge finished - The NFDI4Chem-supported euroSAMPL challenge combined molecular property predictions with peer evaluation of data FAIRness Continue reading