LUMI Grand Challenge – Professor of Theoretical Physics, Kristian Sommer Thygesen and his development team at the Technical University of Denmark (DTU) went all-in to utilise the full capacity of the LUMI supercomputer.

Recordings of FAIRmat tutorial 11 on Research data management, from fundamentals to implementation are now available on the FAIRmat and NOMAD YouTube channel! The full playlist includes:

• Introduction to research data management
• Introduction to the FAIR data principles
• Data management plans - Purpose, content, examples

Read more about the FAIRmat hands-on tutorial series here.

We are delighted to welcome Prof. Dr. Huayna Terraschke as a new task leader of Task A3: Synthesis from Solid Phase and Solution!

Huayna Terraschke is a junior professor at the Institute for Inorganic Chemistry at Christian-Albrecht-Universität zu Kiel.

The third FAIRmat users meeting took place on November 15-16, 2023, in Berlin. The event attracted a diverse group of participants, including current NOMAD users, collaborators, interested researchers, representatives from joint research projects supporting FAIRmat, and various NFDI consortia. This public event, which for the first time spanned over two days, served as a platform for community building, training, and networking, and it facilitated the exchange of valuable insights into research data management and the NOMAD infrastructure.

The program commenced with invited talks, including perspectives from early career researchers to policymakers. Dr. Michael Mößle, program director of the German Research Foundation (DFG), opened this session with an overview of the current status and future perspectives of the National Research Data Infrastructure (NFDI) and provided a funder's perspective on good practices in research data management in physics and materials science. Afterward, Dr. José Márquez Prieto, scientific coordinator of FAIRmat, presented an overview of FAIRmat and NOMAD. Finally, NOMAD users gave inspiring presentations on how NOMAD enhances their daily research activities. Dr. Pavel Ondračka, a researcher at Masaryk University, Czech Republic, presented a postdoc’s perspective on NOMAD and NOMAD Oasis for ab initio research data management, followed by Daniel Baumann, a doctoral researcher at Karlsruhe Institute of Technology (KIT), who presented his work on facilitating FAIR data principles in perovskite solar cell research using NOMAD. All presentations were streamed online via Zoom and will soon be available on our YouTube channel.

The first day was concluded with a dynamic and highly interactive poster session featuring live demonstrations of the latest NOMAD features and NOMAD CAMELS.

The second day featured a series of well-attended interactive workshops. Participants were able to engage in hands-on activities with NOMAD and explore research data management practices. In addition, the kick-off meeting for the PSinNFDI forum “Incorporating RDM education into university courses in Germany” took place. The meeting brought together educators and communicators to facilitate and harmonize educational initiatives on research data management for students in the physical sciences.

We are delighted to welcome Dr. Kevin Jablonka as a new task leader of Task E7: Artificial-intelligence Toolkit!

Kevin Jablonka is a junior research group leader at the Helmholtz Institute for Polymers in Energy Applications (HIPOLE), Center for Energy and Environmental Chemistry Jena (University Jena).

Watch the video of Brian Pauw's talk: "Glimpses of the future, a ""full stack", highly automated materials research laboratory. Delivered in the FAIRmat Seminar on September 28, 2023.

Scientists from the NOMAD Laboratory at the Fritz Haber Institute of the Max Planck Society have recently proposed a workflow that can dramatically accelerate the search for novel materials with improved properties. They demonstrated the power of the approach by identifying more than 50 strongly thermally insulating materials. These can help alleviate the ongoing energy crisis by allowing for more efficient thermoelectric elements, i.e., devices that can convert otherwise wasted heat into useful electrical voltage.

Watch the video of Kevin Jablonka's talk: "Why machine learning can find a new material, but not a needle in a haystack". Delivered in the FAIRmat Seminar on September 15, 2023.

Clara P. Marshall, Julia Schumann and Annette Trunschke published the viewpoint article “Achieving Digital Catalysis: Strategies for Data Acquisition, Storage and Use” in Angewandte Chemie.

Considering the scientific principles of catalysis, this article discusses the requirements for the future research data infrastructure. A paradigm shift in data acquisition and management is needed to address the challenges in developing high-performance, stable, scalable, and cost-effective catalysts for energy storage and sustainable, climate-neutral chemical synthesis.

The paper “MOFGalaxyNet: a social network analysis for predicting guest accessibility in metal–organic frameworks utilizing graph convolutional networks” by our Mehrdad Jalali, Dinga Wonanke and Christof Wöll was published open access in the Journal of Cheminformatics.

This study presents the newly designed tool MOFGalaxyNet, a galaxy-like social network. In combination with a Graphical Convolutional Network (GCN), MOFGalaxyNet predicts the guest accessibility of a given MOF, which is a key performance parameter for this material class. MOFGalaxyNet provides a robust approach for screening MOFs for host-guest interaction studies.