Invited Talks 2022 of the
Emiritus Group Prof. Scheffler

2022 | 2021 | 2020 | 2019

Talk (28)

2022
Talk
Draxl, Claudia et al.: From Fundamental Physics Research to Novel Materials by Data-Centric Approaches. (Autumn Meeting 2022, Brazilian Physical Society (EOSBF 22), Sao Paulo, Brazil, Apr 2022).
Talk
Draxl, Claudia et al.: FAIRmat – Making Materials Research Data Findable and AI-Ready. (20th International Symposium on Nanotechnology (Japan Nano 2022), Online Event, Jan 2022).
Talk
Draxl, Claudia et al.: Similarity of Materials and Data-Quality Assessment by Unsupervised Learning. (HEIBRiDS Lecture Series, Online Event, Jan 2022).
Talk
Draxl, Claudia et al.: Similarities and Pattern Identification in Materials-Sciene Data. (Spanish network of AI, Online Event, Jan 2022).
Talk
Draxl, Claudia et al.: Excitations and 2D Quantum Gases in Complex Oxides. (Seminar, VirtMat, Karlsruhe Institute of Technology (KIT), Online Event, Feb 2022).
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Draxl, Claudia et al.: 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, Jul 2022).
Talk
Draxl, Claudia et al.: Similarities and Pattern Identification in Materials-Science Data. (Seminars of Spanish Network of AI for Condensed Matter Physics and Materials Science, Online Event, Jan 2022).
Talk
Draxl, Claudia et al.: 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, May 2022).
Talk
Draxl, Claudia et al.: From Traditional Physics Research to Data-Centric Approaches: The Role of Fairness. (Physikalisches Kolloquium, Fakultät für Physik und Astronomie, Julius-Maximilians-Universität Würzburg, Würzburg, Germany, May 2022).
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Draxl, Claudia et al.: A Theorist’s View on Complex Oxides. (Colloquium of the CRC 1242, Universität Duisburg-Essen, Duisburg, Germany, May 2022).
Talk
Draxl, Claudia et al.: From Theoretical X-Ray Spectroscopy to Data-Quality Assessment. (SUNCAT Session, Theoretical X-ray Spectroscopy and Activity & Stability of Bimetallic Catalysts, Online Event, Jun 2022).
Talk
Draxl, Claudia et al.: Green-X Library. (NOMAD-Industry Workshop 2022, Berlin, Germany, Jun 2022).
Talk
Draxl, Claudia et al.: From Traditional Physics Research to Data-Centric Approaches: The Role of Fairness. (Seminar, PUNChLunch, PUNCH4NFDI Consortium, Online Event, Jul 2022).
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Draxl, Claudia et al.: From Traditional Physics Research to Data-Centric Approaches: How to Tackle the “I” in Fair. (Seminar, Automatic-FLOW for Materials Disvovery (AFLOW), Online Event, Jul 2022).
Talk
Foppa, Lucas et al.: Materials Genes of Heterogeneous Catalysis From Clean Experiments and Artificial Intelligence. (8th UK Catalysis Conference (UKCC2022), Loughborough, UK, Jan 2022).
Talk
Foppa, Lucas et al.: Hierarchical Symbolic Regression for Identifying Key Physical Parameters Correlated With Materials Properties. (Seminar, Cardiff University, Online Event, Feb 2022).
Talk
Foppa, Lucas et al.: Clean Experimental Data for Artificial Intelligence – A Key to Decoding Materials Genes in Heterogeneous Catalysis. (The 27th North American Catalysis Society Meeting (NAM27), New York, NY, USA, May 2022).
Talk
Foppa, Lucas et al.: Materials Genes of Selective Oxidation From Clean Experiments and Artificial Intelligence. (Symposium, FUNCAT/Center2Center Meeting, Berlin, Germany, Apr 2022).
Talk
Scheffler, Matthias et al.: Making the Data Revolution Happen. (Lecture, National Academy of Sciences, Online Event, Jan 2022).
Talk
Scheffler, Matthias et al.: Making the Data Revolution Happen. (Joint FAIRmat and FHI-aims Tutorial and ICTP Workshop at East African Institute for Fundamental Research, Online Event, Feb 2022).
Talk
Scheffler, Matthias et al.: Electron-Vibrational Coupling in and Beyond the Phonon Picture. (APS March Meeting 2022, Online Event, Mar 2022).
Talk
Scheffler, Matthias et al.: 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, May 2022).
Talk
Scheffler, Matthias et al.: Software Solutions to the Challenges of Materials Modelling: The NOMAD Artificial Intelligence Toolkit. (Workshop of The Royal Society, Northampton, UK, Jun 2022).
Talk
Scheffler, Matthias et al.: The NOMAD Center of Excellence. (NOMAD-Industry Workshop 2022, Berlin, Germany, Jun 2022).
Talk
Scheffler, Matthias et al.: 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, May 2022).
Talk
Scheffler, Matthias et al.: Welcome Address and Concluding Remarks. (Conference on a Fair Data Infrastructure for Materials Genomics, Online Event, Jul 2022).
Talk
Scheffler, Matthias et al.: Welcome and Overview. (NOMAD-ECAM-IRIS-Pritzker Workshop and Hands-on Tutorial 2022, Berlin, Jul 2022).
Talk
Scheffler, Matthias et al.: 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, Jul 2022).
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