Publications of Matthias Scheffler

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

Scheffler, M.: Computational Materials Science and the Future. CAMD Summer School on Electronic Structure Theory and Materials Design, Copenhagen, Denmark (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.: Causal Models in Big-Data Analytics for Novel Materials Discovery. International Conference on Electron Materials, IUMRS-ICEM2016, Singapore (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.: Patterns, Correlations, and Causality in Big Data of Materials: Analytics for Novel Materials Discovery. Workshop on Theoretical Challenges: Simulating Materials out of Equilibrium, Hamburg, Germany (2016)

Scheffler, M.: Fundamental Concepts of Electron-Phonon Coupling and Heat-Transport Calculations. IPAM Reunion Conference on Materials for a Sustainable Energy Future, Lake Arrowhead, CA, USA (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. Colloquium, National Institute for Materials Science (NIMS), Kashiwa, Japan (2016)

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.: Big-Data Analytics for Materials Science: Concepts, Challenges, and Hype. Chemistry Colloquium, University College London, London, UK (2016)

Scheffler, M.: Big-Data Analytics for Materials Science: Concepts, Challenges, and Hype. Colloquium, Department of Chemistry, University of California, Santa Barbara, CA, USA (2016)

Scheffler, M.: Big-Data Analytics for Materials Science: Concepts, Challenges, and Hype. Colloquium, University of Southern California, Los Angeles, CA, USA (2016)

Scheffler, M.: Big-Data Analytics for Materials Science: Concepts, Challenges, and Hype. Symposium on Surface and Nano Science 2016 (SSNS'16), Furano, Japan (2016)

Scheffler, M.: Big-Data Analytics for Materials Science: Concepts, Challenges, and Hype. The International Chemical Congress of Pacific Basin Societies 2015 (Pacifichem), Honolulu, HI, USA (2015)

Scheffler, M.: The NoMaD (Novel Materials Discovery) Center of Excellence: Challenges and Solutions to Build a Code-Independent Data Base for Computational Materials Science and to Identify Causal Models in Machine Learning. 2015 MRS Fall Meeting, Boston, MA, USA (2015)