Conference on a FAIR Data Infrastructure for Materials Genomics

Conference on a FAIR Data Infrastructure for Materials Genomics

3 - 5 June, 2020 I virtual meeting


This conference is organized by the association FAIR-DI e.V. and focuses on the topic of A FAIR Data Infrastructure for Materials Science.
Originally planned as a conference in Berlin, the Conference on a FAIR Data Infrastructure for Materials Genomics will now take place as a virtual meeting with exciting Plenary and Invited Talks from the world's leading experts and a digital Poster Session including two Satellite Workshops. We are pleased that essentially all invited and keynote speakers of symposia of the canceled 2020 Spring Meeting of the German Physical Society (DPG) related to the topic of this FAIR-DI Conference contribute to the program.

Conference Chair Matthias Scheffler describes the conference as follows:

In China, the video can be watched via :

Speakers & Topics

Plenary Speakers

Claudia Draxl (Executive Board Member of FAIR-DI e.V., Humboldt University, Germany) - New Horizons for Materials Research - Role of FAIR Data
Barend Mons (President of CODATA, Co-Leader of the GO FAIR Initiative, Leiden University, the Netherlands) - The FAIR Guiding Principles in Times of Crisis
York Sure-Vetter (Director of the NFDI Directorate, Karlsruhe Institute of Technology, Germany) - The German Research Data Infrastructure: Concepts, Challenges and Chances
James Warren (Director of the Materials Genome Program, Material Measurement Laboratory, NIST, USA) - The US Material Genome Initiative and the Materials Data Infrastructure
Tong-Yi Zhang (Director of the Materials Genome Institute of Shanghai University, China) - From Data to Knowledge: Data Driven Discovery of Formulas

Invited Speakers

Sören Auer (TIB – Leibniz Information Centre for Science and Technology and University Library, Germany) - From Scientific Articles to Research Data and a Knowledge Graph for Science
Tristan Bereau (University of Amsterdam, the Netherlands) - Compound Screening in Soft Matter from Multiscale Simulations
Uwe Bergmann (SLAC National Accelerator Laboratory, USA) - How to Conquer the Data Challenge at High-Repetition Rate X-Ray Lasers
Mario Boley (Monash University, Australia) - Identifying Domains of Applicability of Machine Learning Models for Materials Science
Gerbrand Ceder (University of California, Berkeley, USA) - Large Synthesis Data Sets Extracted from the Scientific Literature with Natural Language Tools
Stefano Curtarolo (Duke University, USA) - Some FAIR Tools for Symmetry and Structure Recognition (AFLOW)
Chris Eberl (Fraunhofer Institute for Mechanics of Materials IWM, Germany) - Exemplary Stepping Stones for the Digital Transformation in Materials Science and Materials Engineering (MSE)
Andrew Ferguson (The University of Chicago, USA) - Reconstructing All-atom Protein Folding from Low-dimensional Experimental Time Series
Giulia Galli (The University of Chicago, USA) - Reproducibility of Materials Simulations and Accessibility to Data
Luca Ghiringhelli (Fritz Haber Institute of MPG, Germany) - Community-driven Metadata and Ontologies for Materials Science and their Key Role in Artificial-intelligence Tools
Mark Greiner (Max Planck Institute for Chemical Energy Conversion, Germany) - FAIR’ifying Experimental Data
Bert Kappen (Radboud University, the Netherlands) - Quantum Machine Learning
Johannes Köster (University of Duisburg-Essen, Germany) - Reproducible Data Analysis with Snakemake
Karel Luyben (Delft University of Technology, the Netherlands) - European Open Science Cloud
Bryce Meredig (Citrine Informatics, USA) - An Industrial Perspective on FAIR Data and Machine Learning for Materials
Beatriz Noheda (CogniGron - Groningen Cognitive Systems and Materials Center, University of Groningen, the Netherlands) - Cognitive Materials, Devices and Systems: Preparing the Future for Energy Efficient Data Analysis
Runhai Ouyang (Materials Genome Institute of Shanghai University, China) - The Data-driven Method SISSO: Concept, Applications, and Challenges
Ulrich Panne (Bundesanstalt für Materialforschung und –prüfung, Germany) - FAIR in Action for Materials Science and Engineering @BAM
Kristin Persson (University of California, Berkeley, USA) - Materials Project: Design of an Effective Software Infrastructure for Data Production, Dissemination and Analyses
Rampi Ramprasad (Georgia Institute of Technology, USA) - Polymer Informatics: Current Status and Critical Next Steps
Gian-Marco Rignanese (Université catholique de Louvain, Belgium) - The OPTIMADE REST API
 for Querying
 Materials Databases: Challenges and Opportunities
Patrick Rinke (Aalto University, Finland ) - Smart Materials Science Data Generation with the BOSS Code
Astrid Schneidewind (Jülich Centre for Neutron Science, Germany) - Data Infrastructure for Diversified User Operation in Neutron and Photon Science - The DAPHNE Project
Isao Tanaka (Kyoto University, Japan) - Recommender System for Materials Discovery
Annette Trunschke (Fritz Haber Institute of MPG, Germany) - Experimental Handbook for Clean Data in Catalysis
Shinji Tsuneyuki (School of Science, University of Tokyo, Japan) - Crystal Structure Prediction by Assimilating Incomplete Powder Diffraction Data
Joachim Ullrich (Physikalisch-Technische Bundesanstalt, Germany) - Towards an AI-ready International System of Units: Metadata-format, Thesaurus and Ontology
Wolfgang Wenzel (Karlsruhe Institute of Technology, Germany) - From Multiscale Simulation of Materials to Digital Twins for Materials

How to Participate

To participate in the conference, you must register. Click here to do so. Admission is free of charge.
Registration Deadline: 31 May, 2020

Participants are invited to present their research work in the digital Poster Session. Click Poster Session for more information.
Submission Deadline: 29 May, 2020


Feel free to share the information about the conference with all your colleagues. If you do this via Twitter, please use #FAIRDI2020.

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Page last modified on May 31, 2020, at 02:20 PM EST