Publikationen von Matthias Scheffler

Scheffler, M.: FAIR Data Infrastructure for Materials Genomics. Conference on a FAIR Data Infrastructure for Materials Genomics, Online Event (2020)

Scheffler, M.: Perspectives in Materials Science. GEDE Workshop Data Sharing a High Priority Urgent Need to Act, Online Event (2020)

Scheffler, M.: Urgend Needs and Scientific Chances of a FAIR Data Infrastructure. FEST with FAIRness, A Colloquium on the Occasion of the 60th Birthday of Prof. Dr. Claudia Draxl, Berlin, Germany (2020)

Scheffler, M.: When the New Science Is in the Outliers. Materials Research Meeting 2019, Yokohama, Japan (2019)

Scheffler, M.: Fourth Paradigm of Materials Science: Novel Research Routes by Artificial Intelligence. Colloquium, Paul Scherrer Institute (PSI), Villigen, Switzerland (2019)

Scheffler, M.: Big Data and Artificial Intelligence in Materials Science: Building Maps of Materials Properties. Workshop, Korea Institute for Science and Technology (KIST), Seoul, Korea (2019)

Scheffler, M.: Finding Statistically Exceptional Materials by Artificial Intelligence. The 5th International Conference on Molecular Simulation (ICMS), Jeju, Korea (2019)

Scheffler, M.: Thermal and Electrical Conductivity to All Orders in Electron-Phonon and Phonon-Phonon Coupling. 24th ETSF Workshop on Electronic Excitations, Light-Matter Interaction and Optical Spectroscopy from Infrared to X-Rays, Jena, Germany (2019)

Scheffler, M.: Subgroup Discovery and Multi-Task SISSO for Novel Materials Discovery. Inaugural Symposium for Computational Materials Program of Excellence, Moscow, Russia (2019)

Scheffler, M.: Welcome and Introduction Materials Science Quo Vadis. BIG DATA SUMMER – A summer school of the BiGmax Network, Platja d’Aro, Spain (2019)

Scheffler, M.: When the New Science Is in the Outliners. Artificial Intelligence for Materials Science (AIMS) 2019 Workshop, National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA (2019)

Scheffler, M.: Big Data and Artificial Intelligence in Materials Science: When the New Science Is in the Outliers. Seminar, Department of Materials Science and Engineering, Yonsei University, Seoul, South Korea (2019)

Scheffler, M.: Materials Discovery From Electronic-Structure Theory. Hands-On DFT and Beyond: High-throughput screening and big-data analytics, towards exascale computational materials science, Barcelona, Spain (2019)

Scheffler, M.: Making the Data Revolution Happen. CCP2019, XXXI IUPAP Conference on Computational Physics, Hong Kong, China (2019)

Scheffler, M.: Subgroup Discovery and Multi-Task SISSO for Novel Materials Discovery. Symposium on Machine Learning in Materials Genome, Spetses, Greece (2019)

Scheffler, M.: The Fourth Research Paradigm of Materials Science. Wissenschaftlicher Abendvortrag, Deutsche Physikalische Gesellschaft (DPG), Berlin, Germany (2019)

Scheffler, M.: Modeling Heterogeneous Catalysis by Artificial Intelligence and Density Functional Theory. 3S'19, Symposium on Surface Science 2019, Baqueira Beret, Spain (2019)

Scheffler, M.: Modeling Materials Properties by Artificial Intelligence and Density-Functional Theory. Frontiers in Condensed Matter and Materials Physics: A Symposium in Honor of the 70th Birthday of Steven G. Louie, Berkeley, CA, USA (2019)

Scheffler, M.: Big? Data Driven Materials Science – When Most Data Are Irrelevant. Workshop Digitalisierung: Status, Perspektiven und Potentiale für die Festkörper- und Materialchemie, Dresden, Germany (2018)

Scheffler, M.: Concepts and Applications for Big-Data-Driven Materials Science. GeCatS Infoday, Digitalization in catalysis: taking the next step, DECHEMA, Frankfurt, Germany (2018)