Publications of Matthias Scheffler

Scheffler, M.: Novel Materials Discovery (NOMAD) a European Center of Excellence. MI²I Symposium, Division of Physics, University of Tsukuba, Ibaraki, Japan (2016)

Scheffler, M.: Patterns, Correlations, and Causality in Big Data of Materials: Analytics for Novel Materials Discover. Colloquium, University of Tokyo, Tokyo, Japan (2016)

Scheffler, M.: Patterns, Correlations, and Causality in Big Data of Materials: Analytics for Novel Materials Discovery. Colloquium, Hokkaido University, Sapporo, Japan (2016)

Scheffler, M.: Electronic Structure Theory Overview. Hands-on workshop and Humboldt-Kolleg: Density-Functional Theory and Beyond - Basic Principles and Modern Insights, Isfahan, Iran (2016)

Scheffler, M.: High-Level Calculations and Benchmark Datasets for Materials. Hands-on workshop and Humboldt-Kolleg: Density-Functional Theory and Beyond - Basic Principles and Modern Insights, Isfahan, Iran (2016)

Scheffler, M.: Van der Waals Interactions. Hands-on workshop and Humboldt-Kolleg: Density-Functional Theory and Beyond - Basic Principles and Modern Insights, Isfahan, Iran (2016)

Scheffler, M.: Patterns, Correlations, and Causality in Big Data of Materials: Analytics for Novel Materials Discovery. The 1st USTC-FHI Workshop, On the Frontiers of Advanced Electronic Structure Methods, Hefei, China (2016)

Scheffler, M.: Causal Models in Big-Data Analytics for Novel Materials Discovery. International Conference on Electron Materials, IUMRS-ICEM2016, Singapore (2016)

Scheffler, M.: Test Set for Materials Science and Engineering. Electronic Structure Theory with Numeric Atom-Centered Basis Functions, FHI-aims Developers' and Users' Meeting, Munich, Germany (2016)

Scheffler, M.: Computational Materials Science and the Future. CAMD Summer School on Electronic Structure Theory and Materials Design, Copenhagen, Denmark (2016)

Scheffler, M.: First-Principles Methods in Materials Science, High-Throughput Calculations. Summer School on Interfaces and Energy, Göttingen, Germany (2016)

Scheffler, M.: Learning Descriptors from Materials-Science (Big) Data. IPAM Workshop on Understanding Many-Particle Systems with Machine Learning, Los Angeles, CA, USA (2016)

Scheffler, M.: Strong Electron-Vibrational Coupling and Ab Initio Theory of Heat Transport. Colloquium, Pennsylvania State University, State College, PA, USA (2016)

Scheffler, M.: Strong Electron-Vibrational Coupling and Ab Initio Theory of Heat Transport. Symposium on Modern Simulation Approaches to Soft Matter, Max Planck Institute for Polymer Research, Mainz, Germany (2016)

Scheffler, M.: Strong Electron-Vibrational Coupling and Ab Initio Theory of Heat Transport. 2nd International Symposium on Energy Chemistry and Materials, Hefei, China (2016)

Scheffler, M.: Strong Electron-Phonon Coupling and Ab Initio Theory of Heat Transport - Concepts and Calculations. 2016 MRS Fall Meeting, Boston, MA, USA (2016)

Scheffler, M.: Neue Datenräume kreativ nutzen – Bessere Verzahnung von Wissenschaft, Informationsinfrastrukturen und Wirtschaft. Nationaler IT-Gipfel 2016, Saarbrücken, Germany (2016)

Scheffler, M.: Big Data Analytics in CPT Science. CPTS Data Driven Sciences Round Table , Tübingen, Germany (2015)

Scheffler, M.: Big Data of Materials Science – Critical Role of the Descriptor. IPAM Workshop, Machine Learning for Many-Particle Systems, Institute for Pure and Applied Mathematics , Los Angeles, CA, USA (2015)

Scheffler, M.: Big Data of Materials Science – Critical Next Steps. Symposium on the Occasion of the Retirement of Prof. Dr. Oleg Pankratov, Quantum Theory of Materials , Erlangen, Germany (2015)