Publications of Matthias Scheffler

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)

Scheffler, M.: Introduction to Electronic-Structure Calculations. Exciting Shanghai School, Hands-on workshop on density functional theory, First-principles simulations in materials science, Shanghai, China (2018)

Scheffler, M.: An Introduction to the NOMAD Project. Exciting Shanghai School, Hands-on workshop on density functional theory, First-principles simulations in materials science, Shanghai, China (2018)

Scheffler, M.: When More Data Do Not Provide a Better Description. Workshop II: HPC and Data Science for Scientific Discovery, Institute for Pure and Applied Mathematics (IPAM), Los Angeles, CA, USA (2018)

Scheffler, M.: Making the Data Revolution Happen – Turning Data and Information From Computational Materials Science Into Knowledge by Artificial Intelligence. Hefei Master Forum, University of Science and Technology of China, Hefei, China (2018)

Scheffler, M.: A Primer to NOMAD. NOMAD Summer - A hands-on course on tools for novel-materials discovery, CECAM, Lausanne, Switzerland (2018)

Scheffler, M.: Data-Driven Materials-Science – Rethinking the Pursuit of Understanding. CCP2018, XXX IUPAP Conference on Computational Physics, Davis, CA, USA (2018)

Scheffler, M.: Novel Materials Discovery from Big-Data Analytics. Hands-On DFT and Beyond School: Frontiers of Advanced Electronic Structure and Molecular Dynamics Methods, Beijing, China (2018)

Scheffler, M.: Making the Data Revolution Happen. HITS Colloquium, Heidelberg Institute for Theoretical Studies, Heidelberg, Germany (2018)

Scheffler, M.: Making the Data Revolution Happen - Turning Billions of Data from Computational Materials Science into Knowledge by AI. Internet of Things (IoT) Week 2018, Bilbao, Spain (2018)

Scheffler, M.: The Fourth Paradigm of Materials Science: Data-Driven Versus Physics-Driven Research. Lecture, Hausdorff Forum for Interaction with Mathematical Sciences, Hausdorff Center for Mathematics, University of Bonn, Bonn, Germany (2018)

Scheffler, M.: Data-Driven Materials-Science - Rethinking the Pursuit of Understanding. BASF, Ludwigshafen, Germany (2018)

Scheffler, M.: Data-Driven Materials Science. The ninth annual meeting of SeRC, Swedish e-Science Research Centre, Villa Aske, Bro, Sweden (2018)

Scheffler, M.: Deluge of Materials-Science Data - Rethinking the Pursuit of Understanding. Materials Science and Engineering Colloquium, Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA (2018)

Scheffler, M.: Two-Dimensional Topological Insulators. SSNS’18, Symposium on Surface and Nano Science 2018, Furano, Japan (2018)

Scheffler, M.: Big-Data Routes for Atomic-Level Characterization of Novel Materials. ALC ’17, 11th International Symposium on Atomic Level Characterizations for New Materials and Devices ’17, Kauai, HI, USA (2017)

Scheffler, M.: SISSO: A Compressed-Sensing Method for Systematically Identifying Physical Models of Materials Properties. CFEL Theory Seminar, DESY, Hamburg, Germany (2017)