Publications of Matthias Scheffler

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)

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)

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