Thursday, July 18, 2024, 13:00 (BMS4001) Axel Groß, Ulm University, Electrochemical energy conversion and storage from an atomistic theoretical point of view. veröffentlicht am: 17. Juli 2024
Friday, July 12, 2024, 10:00 (BMS/4001) Fabiola Dominguez-Flores, Ulm University, Atomistic electrochemical modelling: Canonical DFT vs. GCDFT and continuum models. veröffentlicht am: 12. Juli 2024
Thursday, July 4, 2024, 13:00 (BMS/4001) Manuel Smeu, Binghamton University, Computational Modeling of Next-Generation Batteries. veröffentlicht am: 27. Juni 2024
Thursday, June 27, 2024, 13:00 (BMS/4001) Kanchan Sarkar, Ulm University, Optimization and Regression -- Realizing Potential for Materials Science Computing. veröffentlicht am: 27. Juni 2024
Thursday, May 2, 2024, 13:00 (BMS/4001) Uday Kumar Gejera, FAIRmat and Ulm University, The Versatility of Machine Learning Techniques in Materials Science: A Multiscale Study. veröffentlicht am: 02. Mai 2024
Thursday, February 8, 2024, 16:00 (BMS/4001) Harald Oberhofer, Universität Bayreuth, Simulating Charge Transport in Energy Materials from First Principles to Machine Learning. veröffentlicht am: 08. Februar 2024
Thursday, February 8, 2024, 14:30 (BMS/4001) Martin Uhrin, Université Grenoble Alpes, Machine learning Hubbard self-consistent parameters using equivariant neural networks. veröffentlicht am: 08. Februar 2024
Thursday, January 25, 2024, 14:15 (BMS/4001) Manuel Dillenz, Ulm University, Rehearsal talk. veröffentlicht am: 25. Januar 2024