Publikationen von Claudia Draxl

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.: 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.: Interweaving Synthesis, Theory, Experiment, Devices, Data Tools, and Machine Learning for Exploring Materials: Example of Halide Perovskites. 2023 MRS Spring Meeting & Exhibit, San Francisco, CA, USA (2023)

Draxl, C.: Combining Cluster Expansion and Machine Learning Towards Non-Linear Modeling and Classification. 2023 MRS Spring Meeting & Exhibit, San Francisco, CA, USA (2023)

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.: Level Alignment and Excitations at Heterointerfaces. 35th International Winterschool on Electronic Properties of Novel Materials (IWEPNM 2023), Kirchberg, Austria (2023)

Draxl, C.: Unsupervised Learning for Insight Into High-Throughput Calculations. Winter School in III-Sb Applications, Non-Volatile memories - A modelling perspective, Berlin, Germany (2023)

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

Draxl, C.: Theoretical Spectroscopy of Complex System: Fundamentals and Challenges. PERSEPHONe & SMART-X Winter School 2023, Bormio, Italy (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.: Unsupervised Learning for Insight Into High-Throughput Calculations. Conference, Science at Extreme Scales: Where Big Data Meets Large-Scale Computing, Lake Arrowhead, CA, USA (2022)

Draxl, C.: First-Principles Approaches for Exploring Interactions in (X-Ray) Spectroscopy. Workshop, Theory Meets XFELs, Hamburg, Germany (2022)

Draxl, C.: Fairmat - Making Materials Data Findable and AI Ready. Seminar, National Institute of Standards and Technology, Online Event (2022)

Draxl, C.: Opto-Electronic Excitations in TMDC-Based Systems Explored by Many-Body Theory. Hybrid Inorganic/Organic Systems for Opto-Electronics Symposium 2022, Berlin, Germany (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.: From Traditional Physics Research to Data-Centric Approaches: The Role of Fairness. Seminar, PUNChLunch, PUNCH4NFDI Consortium, Online Event (2022)

Draxl, C.: From Traditional Physics Research to Data-Centric Approaches: How to Tackle the “I” in Fair. Seminar, Automatic-FLOW for Materials Disvovery (AFLOW), Online Event (2022)

Draxl, C.: From Theoretical X-Ray Spectroscopy to Data-Quality Assessment. SUNCAT Session, Theoretical X-ray Spectroscopy and Activity & Stability of Bimetallic Catalysts, Online Event (2022)