Publications of Claudia Draxl

Draxl, C.: Combining Cluster Expansion and Machine Learning Towards Non-Linear Modeling and Classification. 2nd Materials Science Colloquium (67. Metallkunde-Kolloquium), Arlberg, Austria (2023)

Draxl, C.: High-Throughput Spectroscopy and Materials Discovery by Beyond-DFT Workflows and Data-Analysis Frameworks. Workshop, Complex Scientific Workflows at Extreme Computational Scales, Institute for Pure and Applied Mathematics (IPAM), University of California, Los Angeles, CA, USA (2023)

Draxl, C.: The FAIRmat Approach to Accelerated Discovery of New Materials. 787. WE-Heraeus-Seminar, Accelerated Discovery of New Materials, Bad Honnef, Germany (2023)

Draxl, C.: Exploring Large Data Space. School on Artificial Intelligence for Materials Science in the Exascale Era, Calonge, Spain (2023)

Draxl, C.: Level Alignment and Excitations at Interfaces Between Molecules and 2D Materials. Satellite Meeting, Intermolecular Interactions and Properties of Gases, Liquids and Solids, International Congress of Quantum Chemistry, ICQC 2023, Graz, Austria (2023)

Draxl, C.: Augmented Plaewave Methods. HoW exciting! 2023, Berlin, Germany (2023)

Draxl, C.: FAIRmat’s Approach to FAIR Data and Accelerated Materials Discovery. GDCh Science Forum Chemistry 2023, Leipzig, Germany (2023)

Draxl, C.: Electronic-Structure Theory and Materials Discovery on the Way to Exascale. NHR Conference '23, Berlin, Germany (2023)

Draxl, C.: Excitations in Complex Materials: Interplay Between Electron-Electron, Electron-Phonon, Electron-Hole, and Spin-Orbit Interactions. IOP-HU Early Career Researcher Conference on Condensed Matter Physics, Liyang, China (2023)

Draxl, C.: From Many-Body Theory to Nonlinear Modeling and Classification. IOP-FHI Workshop, Frontiers of Electronic Structure Theory and Materials Genomics, Beijing, China (2023)

Draxl, C.: FAIRmat - Making Materials Data Findable and AI Ready. Webinar, University of Oslo, Online Event (2023)

Ambrosch-Draxl, C.: How Green Is Our Research? Conference, Science at Extreme Scales: Where Big Data Meets Large-Scale Computing, Lake Arrowhead, CA, USA (2022)

Draxl, C.: From Fundamental Physics Research to Novel Materials by Data-Centric Approaches. Autumn Meeting 2022, Brazilian Physical Society (EOSBF 22), Sao Paulo, Brazil (2022)

Draxl, C.: FAIRmat - Making Materials Research Data Findable and AI-Ready. 20th International Symposium on Nanotechnology (Japan Nano 2022), Online Event (2022)

Draxl, C.: Similarity of Materials and Data-Quality Assessment by Unsupervised Learning. HEIBRiDS Lecture Series, Online Event (2022)

Draxl, C.: Similarities and Pattern Identification in Materials-Sciene Data. Spanish network of AI, Online Event (2022)

Draxl, C.: Excitations and 2D Quantum Gases in Complex Oxides. Seminar, VirtMat, Karlsruhe Institute of Technology (KIT), Online Event (2022)

Draxl, C.: Excitations in (Not So) Complex Materials: The Dilemma of Choosing the Right Method. 12th Triennial Congress of the World Association of Theoretical and Computational Chemists (WATOC 2020), Vancouver, Canada (2022)

Draxl, C.: Similarities and Pattern Identification in Materials-Science Data. Seminars of Spanish Network of AI for Condensed Matter Physics and Materials Science, Online Event (2022)

Draxl, C.: From Research Islands and Data Silos to a Powerful Data Infrastructure. Talk, FAIRmat Tutorial on NOMAD Oasis and FAIR data collaboration and sharing, Online Event (2022)