FAIR-DI e.V.
FAIRmat
NOMAD Laboratory
NOMAD CoE

Conference on A FAIR Data Infrastructure For Materials Genomics 2022

Welcome to FAIR-DI 2022!

 

 

 

 

 

 


Following the previous, successful International FAIR-DI Conference on a FAIR Data Infrastructure for Materials Genomics (2020) and the FAIR-DI workshop on the topic of a FAIR data infrastructure for materials science (2021),
we are now organizing the second

International FAIR-DI Conference on a FAIR Data Infrastructure for Materials Genomics (2022)
July 12 to 15, 2022 in Shanghai

The conference will take place as a hybrid event, where local participants will attend in person, and overseas participants are welcome to travel to Shanghai, but if not possible, they can choose to attend virtually.

Important Dates

Deadline abstract submission May 10, 2022 May 23, 2022
Notification of acceptance May 31, 2022
Deadline online registration June 30, 2022
Conference dates July 12-15, 2022

Conference Topics

  • Data management and stewardship
  • Experimental and computational databases
  • Exascale computing
  • High-throughput experiments and computations
  • Machine learning

The conference aims to further explore the topic, bring the community closer together, and foster discerning discussions and new collaborations.

Conference Chairs

Prof. Matthias Scheffler, Fritz Haber Institute of the Max Planck Society
Prof. Tong-Yi Zhang, Shanghai University

Program Committee

Prof. Claudia Draxl, Humboldt-Universität zu Berlin
Prof. Yi Liu, Shanghai University
Prof. Gian-Marco Rignanese, Université catholique de Louvain
Prof. Xiaogang Lu, Shanghai University
Prof. Wencong Lu, Shanghai University
Prof. Jiong Yang, Shanghai University
Prof. Lingyan Feng, Shanghai University

Organizing Committee

Prof. Jincang Zhang, Shanghai University
Prof. Quan Qian, Shanghai University
Dr. Runhai Ouyang, Shanghai University
Dr. Carsten Baldauf, Fritz Haber Institute of the Max Planck Society

The event is organized by the association FAIR-DI e.V., the NFDI Consortium FAIRmat, and the Materials Genome  Institute (MGI) of Shanghai University.