Publications of Matthias Scheffler

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)

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)