Publikationen von Matthias Scheffler

Scheffler, M.: Efficient Discovery of Improved Energy Materials by an AI-guided Workflow: The Example of Thermal Conductivity. Workshop, Sino-German Mobility Program, Berlin, Germany (2023)

Scheffler, M.: Finding "Rules" and "Genes" for Materials Properties and Functions by Artificial Intelligence. DMI Signature Lecture, Durham, NC, USA (2023)

Scheffler, M.: Electron-Vibrational Coupling in and Beyond the Phonon Picture. Seminar, Departments of Mechanical Engineering and Materials Science and Chemistry, Duke University, Durham, NC, USA (2023)

Scheffler, M.: Learning Rules for High-Throughput Screening of Materials Properties and Functions. TMS 2023, 152th Annual Meeting & Exhibition, San Diego, CA, USA (2023)

Scheffler, M.: Finding "Rules" and "Genes" for Materials Properties and Functions by Artificial Intelligence. Fundamentals of Heterogeneous Catalysis, FUNCAT 2023, Cardiff, UK (2023)

Scheffler, M.: The NOMAD Center of Excellence and The Max Planck Society. 4th NOMAD Project Meeting, Vienna, Austria (2023)

Scheffler, M.: Learning Rules and Identifying "Materials Genes" for Heterogeneous Catalysis by Artificial Intelligence. Surface Science Discussions 2023, Modern trends in surface science studies, Online Event (2023)

Scheffler, M.: Data-Centric Research in the Natural Sciences. Berlin Science Week and Falling Walls 2023, Workshop of the Berlin-Brandenburg Academy of Sciences and Humanities, Berlin, Germany (2022)

Scheffler, M.: New and Novel Materials, Mechanisms, and Insights. NOMAD Meeting, Revealing New and Novel Materials, Mechanisms, and Insights (a Perspective), Potsdam, Germany (2022)

Scheffler, M.: Materials Genes (Atomic-level Characterization) of Materials Properties and Functions. 14th International Symposium on Atomic Level Characterizations for New Materials and Devices, ALC '22, Okinawa, Japan (2022)

Scheffler, M.: Welcome Address and Concluding Remarks. Conference on a Fair Data Infrastructure for Materials Genomics, Online Event (2022)

Scheffler, M.: Welcome and Overview. NOMAD-ECAM-IRIS-Pritzker Workshop and Hands-on Tutorial 2022, Berlin (2022)

Scheffler, M.: Finding Structure in Data, Identifying Maps of Materials Properties, and Detecting the “Materials Genes”. NOMAD-ECAM-IRIS-Pritzker Workshop and Hands-on Tutorial 2022, Berlin (2022)

Scheffler, M.: Software Solutions to the Challenges of Materials Modelling: The NOMAD Artificial Intelligence Toolkit. Workshop of The Royal Society, Northampton, UK (2022)

Scheffler, M.: The NOMAD Center of Excellence. NOMAD-Industry Workshop 2022, Berlin, Germany (2022)

Scheffler, M.: Learning Rules for Materials Properties and Functions by Artificial Intelligence. Workshop, Machine Learning in Electronic Structure and Molecular Dynamics, International Centre for Theoretical Physics (ICTP), Trieste, Italy (2022)

Scheffler, M.: Learning Rules for Materials Properties and Functions by Artificial Intelligence. Workshop, Machine Learning in Electronic Structure and Molecular Dynamics, Abdus Salam International Centre for Theoretical Physics (ICTP), Online Event (2022)

Scheffler, M.: Electron-Vibrational Coupling in and Beyond the Phonon Picture. APS March Meeting 2022, Online Event (2022)

Scheffler, M.: Making the Data Revolution Happen. Joint FAIRmat and FHI-aims Tutorial and ICTP Workshop at East African Institute for Fundamental Research, Online Event (2022)

Scheffler, M.: Making the Data Revolution Happen. Lecture, National Academy of Sciences, Online Event (2022)