Publications of Matthias Scheffler

Scheffler, M.: DFT, Its Impact on Condensed Matter and on “Materials-Genome” Research. APS March Meeting 2017, New Orleans, LA, USA (2017)

Scheffler, M.: Discovering Interpretable Patterns, Correlations, and Causality in Big Data of Materials. Chinese Materials Conference 2017, Yinchuan, China (2017)

Scheffler, M.: Discovering Interpretable Patterns, Correlations, and Causality in Big Data of Materials. The 15th International Nanotech Symposium & Nano-Convergence Expo (NANO KOREA 2017), Goyang, South Korea (2017)

Scheffler, M.: Electronic-Structure Theory (Introduction). NSF/CECAM School on Computational Materials Science: From Basics to Applications, Lausanne, Switzerland (2017)

Scheffler, M.: Novel Materials Discovery by DFT and Compressed Sensing. NSF/CECAM School on Computational Materials Science: From Basics to Applications, Lausanne, Switzerland (2017)

Scheffler, M.: Materials Discovery from Electronic Structure. Hands-on Workshop Density-Functional Theory and Beyond: Accuracy, Efficiency and Reproducibility in Computational Materials Science, Berlin, Germany (2017)

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)

Scheffler, M.: SISSO: A Compressed-Sensing Method for Identifying Physical Models of Materials Properties. The 7th International Workshop on Quantum Energy, Haikou, China (2017)

Scheffler, M.: Strong Electron-Vibrational Coupling and Ab Initio Theory of Heat Transport. CPMD2017 Workshop, Car-Parrinello Molecular Dynamics in 2017, Tsukuba, Japan (2017)

Scheffler, M.: A Primer to NOMAD. NOMAD Summer - A hands-on course on tools for novel materials discovery, Berlin, Germany (2017)

Scheffler, M.: Big Data of the Chemical Physics of Materials: Discovering Interpretable Patterns, Correlations and Causality. WATOC2017, 11th Triennial Congress of the World Association of Theoretical and Computational Chemistry, Munich, Germany (2017)

Sutton, C. A.; Baldock, R.; Ghiringhelli, L. M.; Scheffler, M.: High-Throughput Screening and Guided Design of Transparent Conducting Oxides. 253rd ACS National Meeting & Exposition, Advanced Materials, Technologies, Systems & Processes, San Francisco, CA, USA (2017)

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.: 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. 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. Chemistry Colloquium, University College London, London, UK (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)