Publikationen von Annette Trunschke

Vortrag (83)

161.
Vortrag
Trunschke, A.: Influence of Host Structure and Synthesis Technique on the Formation of Active Fe, Co and NI Catalysts for Ammonia Decomposition Under Reaction Conditions. Renewable Energy Storage Conference, Zámek Liblice, Czech Republic (2022)
162.
Vortrag
Trunschke, A.: Digital Catalysis – Automated Collection of Data for Evaluation Using Artificial Intelligence. FHI-Workshop on Current Research at the Interface of Physics and Chemistry, Potsdam, Germany (2022)
163.
Vortrag
Trunschke, A.: The Importance of Standard Operation Procedures for Catalysis Research Accelerated by Artificial Intelligence. Workshop, Addressing Rigor and Reproducibility in Heterogeneous Catalysis, The Pennsylvania State University, Online Event (2022)
164.
Vortrag
Trunschke, A.: Infrared Spectroscopy. Lecture Series, Physical Methods in Homogeneous and Heterogeneous Catalysis, IMPRS RECHARGE, MPI CEC, Mülheim, Germany (2022)
165.
Vortrag
Trunschke, A.: Re-Thinking Experimental Approaches in Catalysis Research: Why Artificial Intelligence-Assisted Discovery of New Catalysts Will Benefit From Rigorous Experimental Protocols and Automation. Workshop with Max-Planck-Cardiff Centre on the Fundamentals of Heterogeneous Catalysis, Berlin, Germany (2022)
166.
Vortrag
Trunschke, A.: Concepts and Challenges With Regard to Digital Catalysis. Lecture, EC2/BIG-NSE Initial Phase WS 2021, Technische Universität Berlin, Online Event (2021)
167.
Vortrag
Trunschke, A.: Considerations for Local Research Data Infrastructure. FHI-Workshop on Current Research Topics at the FHI, Online Event (2021)
168.
Vortrag
Trunschke, A.: Describing the Dynamics of Catalysts by Raman Spectroscopy. Seminar, Leibniz-Institut für Analytische Wissenschaften, Online Event (2021)
169.
Vortrag
Trunschke, A.: Clean Data Concept. Workshop, Bringing together research data in SPP2080, Karlsruhe Institute of Technology (KIT), Online Event (2021)
170.
Vortrag
Trunschke, A.: Further Development of the Data Management System at the Department of Inorganic Chemistry – Can the Database Replace ELN or LIMS? Data Management Day, Fritz-Haber-Institut, MPI for Chemical Energy Conversion (CEC), Online Event (2020)
171.
Vortrag
Trunschke, A.: Clean Data for Artificial Intelligence – A Key to Discover Hidden Correlations in Oxidation Catalysis. Polish Conference on Catalysis, Kraków, Poland (2020)
172.
Vortrag
Trunschke, A.: Digital Catalysis – Examination of Standardization Procedures Data Management and Automation of Experiments – With Specific Reference to Area A. Workshop, FAIRmat Area A, Leibniz-Institut für Kristallzüchtung, Online Event (2020)
173.
Vortrag
Trunschke, A.: Concepts in Heterogeneous Catalysis. Lecture, EC2/BIG-NSE Initial Phase WS 2020, Technische Universität Berlin, Online Event (2020)
174.
Vortrag
Trunschke, A.: Operando Spectroscopy – A Tool to Discover Links Between Gas-Phase and Solid-State Chemistry in Thermal Catalysis. UnOCat Lecture Series on Thermal Catalysis, Collaborative Research Centre / Transregio 247, Online Event (2020)
175.
Vortrag
Trunschke, A.: Experimental Handbook for Clean Data in Catalysis. Conference on a FAIR Data Infrastructure for Materials Genomics, Online Event (2020)
176.
Vortrag
Trunschke, A.: Why Go Standardized in FAIR Catalyst Optimization and Discovery? FHI-Workshop on Current Research Topics at the FHI, Online Event (2020)
177.
Vortrag
Trunschke, A.: Standard Operation Procedures in Heterogeneous Catalysis Research. Materials Metrology, Joint HZB-PTB Satellite Workshop to the User Meeting 2019, Berlin, Germany (2019)
178.
Vortrag
Trunschke, A.: Data Science Project in Oxidation Catalysis. Department Seminar, Inorganic Chemistry, Fritz-Haber-Institut, Berlin, Germany (2019)
179.
Vortrag
Trunschke, A.: Probing the Active Surface of Metal Oxide Catalysts. Seminar, Department of Chemistry and Physics of Materials, Paris Lodron Universität Salzburg, Salzburg, Austria (2019)
180.
Vortrag
Trunschke, A.: Concepts in Heterogeneous Catalysis and Challenges of Digital Catalysis. Lecture, Berlin International Graduate School of Natural Sciences and Engineering (BIG-NSE), Technische Universität Berlin, Berlin, Germany (2019)
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