Invited Talks 2019 of the
Emiritus Group NOMAD

Carbogno, C.: Electron-Phonon Coupling and Electronic Transport in Solids From First Principles. Workshop, Hands-On DFT and Beyond, High-throughput screening and big-data analytics, towards exascale computational materials science, Barcelona, Spain (2019)

Carbogno, C.: Recent Advancements in the ELPA Library: Best Practices in Real Applications. Conference, Parallel Computing ParCo2019, Prague, Czech Republic (2019)

Carbogno, C.: From Polarization Over Electron-Phonon Coupling Towards Electronic Transport. Internal NOMAD Group Retreat, Dessau, Germany (2019)

Carbogno, C.: Anharmonic Effects in Heat and Charge Transport. 9th International Workshop on Quantum Energy, University of Science and Technology of China, Xiamen, China (2019)

Draxl, C.: Neutral Excitiations. Workshop, Hands-On DFT and Beyond, High-throughput screening and big-data analytics, towards exascale computational materials science, Barcelona, Spain (2019)

Draxl, C.: The NOMAD Project. Workshop, Hands-On DFT and Beyond, High-throughput screening and big-data analytics, towards exascale computational materials science, Barcelona, Spain (2019)

Draxl, C.: The NOMAD Encyclopedia – a Tool for Exploring Computed Data. BIG DATA SUMMER – A summer school of the BiGmax Network, Platja d’Aro, Spain (2019)

Draxl, C.: Benchmark Calculations Towards Ultimate Precision in Density-Functional Theory. BIG DATA SUMMER – A summer school of the BiGmax Network, Platja d’Aro, Spain (2019)

Draxl, C.: Theoretical Spectroscopy at Hybrid Interfaces. Joint Colloquium of the CeNS and the Department of Physics, Ludwig-Maximilians-Universität München, Munich, Germany (2019)

Draxl, C.: Oxides for Optoelectronics: A Theoretical Perspective. Seminar, Seoul National University, Seoul, Korea (2019)

Draxl, C.: Open and Data-Driven Science – the Need For a FAIR Data Infrastructure. 5th International Conference on Molecular Simulation (ICMS 2019), Jeju, South Korea (2019)

Draxl, C.: All-Electron Theoretical Spectroscopy. Workshop, Diamond Light Source, Oxfordshire, United Kingdom (2019)

Draxl, C.: Computational Materials Science: From Phase Diagrams to Optical Excitations and Data-Driven Research. Physikerinnentagung 2019, Frauen in der Physik, Berlin, Germany (2019)

Draxl, C.: FAIR Data Management in Materials Science - From Sample Synthesis to Artificial-Intelligence. Workshop, Forschungsdatenmanagement und Maschinelles Lernen in den Ingenieurwissenschaften am Beispiel der Materialwissenschaften, Karlsruhe, Germany (2019)

Draxl, C.: Verification and Error Estimates for Ab Initio Data. Materials Research Meeting 2019, Yokohama, Japan (2019)

Ghiringhelli, L. M.: Artificial Intelligence for Data-Driven Materials Science: Achievements and Perspectives. Symposium IRIS 2019, Berlin, Germany (2019)

Ghiringhelli, L. M.: Metadata Towards FAIR Data Sharing for Data-Driven Materials Science: Achievements and Open Challenges. BIG DATA SUMMER – A summer school of the BiGmax Network, Platja d'Aro, Spain (2019)

Ghiringhelli, L. M.: Artificial Intelligence for Data-Driven Materials Science: Achievements and Perspectives. Max Planck Graduate Center for Quantum Materials, Stuttgart, Germany (2019)

Ghiringhelli, L. M.: Artificial Intelligence for Data-Driven Materials Science: Achievements and Perspectives. Seminar, Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark (2019)

Ghiringhelli, L. M.: Beyond Just Fitting Numbers: Artificial Intelligence for Identifying Statistically Exceptional Materials. 2019 MRS Fall Meeting & Exhibit, Boston, MA, USA (2019)

Knoop, F.: FHI-Vibes: A Toolkit for Finding and Analyzing Thermal Insulators. ASE Workshop, Chalmers University, Gothenburg, Sweden (2019)

Levchenko, S. V.: Predicting Properties of Small Polarons From First Principles. Inaugural Symposium for Computational Materials Program of Excellence, Moscow, Russia (2019)

Levchenko, S. V.: Discovering Better Catalysts for Carbon Dioxide Conversion by Data Analytics. International Workshop on Materials Genomics (IWMG 2019), Shanghai, China (2019)

Levchenko, S. V.: Discovering Better Catalysts for Carbon Dioxide Conversion by Data Analytics. Seminar, Department of Chemistry, Fudan University, Shanghai, China (2019)

Rossi, M.: Structure and Dynamics of Inorganic / Organic Systems. 20th Meeting of the Fachbeirat of the Fritz-Haber-Institut, Berlin, Germany (2019)

Rossi, M.: Elucidating Quantum Dynamics at Hybrid Interfaces. Seminar, The Institute for Solid State Physics, The University of Tokyo, Kashiwa, Japan (2019)

Rossi, M.: How Theory Can Elucidate Anharmonic Quantum Nuclear Fluctuations and Hydrogen Dynamics at Finite Temperatures. The 81st Okazaki Conference, Forefront of Measurement Technologies for Surface Chemistry and Physics in Real-Space, k-Space, and Real-Time, Okazaki, Japan (2019)

Scheffler, M.: Thermal and Electrical Conductivity to All Orders in Electron-Phonon and Phonon-Phonon Coupling. 24th ETSF Workshop on Electronic Excitations, Light-Matter Interaction and Optical Spectroscopy from Infrared to X-Rays, Jena, Germany (2019)

Scheffler, M.: When the New Science Is in the Outliers. Materials Research Meeting 2019, Yokohama, Japan (2019)

Scheffler, M.: Subgroup Discovery and Multi-Task SISSO for Novel Materials Discovery. Inaugural Symposium for Computational Materials Program of Excellence, Moscow, Russia (2019)

Scheffler, M.: Welcome and Introduction Materials Science Quo Vadis. BIG DATA SUMMER – A summer school of the BiGmax Network, Platja d’Aro, Spain (2019)

Scheffler, M.: Big Data and Artificial Intelligence in Materials Science: Building Maps of Materials Properties. Workshop, Korea Institute for Science and Technology (KIST), Seoul, Korea (2019)

Scheffler, M.: Finding Statistically Exceptional Materials by Artificial Intelligence. The 5th International Conference on Molecular Simulation (ICMS), Jeju, Korea (2019)

Scheffler, M.: Fourth Paradigm of Materials Science: Novel Research Routes by Artificial Intelligence. Colloquium, Paul Scherrer Institute (PSI), Villigen, Switzerland (2019)