Name: BiGmax Summer School 2021
Start: 2021-09-13T14:00:00+02:00
End: 2021-09-17T18:00:00+02:00
Location: Virtual event

BiGmax Summer School 2021

from Monday, 13 September 2021 (14:00) to Friday, 17 September 2021 (18:00)

Monday, 13 September 2021
14:00
14:00 - 19:00
Contributions

14:15 Lecture "Four Generations of Neural Network Potentials" - Jörg Behler (University of Göttingen)

15:15 Lecture "Science in the Age of Machine Learning" - Abbas Ourmazd (University of Wisconsin Milwaukee)

17:00 Tutorial "Active Learning with Bayesian Optimization" - Milica Todorović (Turku University)

18:00 Tutorial "Compressed sensing meets symbolic regression: learning interpretable models" - Luca M. Ghiringhelli (Fritz Haber Institute of the Max Planck Society)
Tuesday, 14 September 2021
14:00
14:00 - 19:00
Contributions

14:00 Tutorial "Neural Networks" - Ye Wei (Max-Planck-Institut für Eisenforschung GmbH)

15:00 Lecture "Machine-learning aided atom probe tomography: status and (possible) directions" - Baptiste Gault (Max-Planck-Institut für Eisenforschung GmbH)

16:45 Lecture "Machine Learning for Electron Microscopy: from Imaging to Atomic Fabrication" - Sergei Kalinin (Oak Ridge National Laboratory)
19:00 (meet us in gather.town)
(meet us in gather.town)
19:00 - 23:00
Contributions

19:00 Dynamic structure investigation of biomolecules with pattern recognition algorithms and X-ray experiments - Amir Kotobi (Deutsches Elektronen-Synchrotron DESY)

19:00 Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning - Andreas Leitherer (Fritz Haber Institute of the Max Planck Society)

19:00 Teaching solid mechanics to artificial intelligence - Jaber Mianroodi (Max-Planck-Institut für Eisenforschung GmbH)

19:00 Deep generative models for the design of Dual phase steel microstructures - Navyanth Kusampudi (Max-Planck-Institut für Eisenforschung GmbH)

19:00 Learning Dynamics of STEM by Enforcing Physical Consistency with Phase-Field Models - Lekshmi Sreekala (Max-Planck-Institut für Eisenforschung GmbH) Pawan Goyal (Max Planck Institute for Dynamics of Complex Technical Systems)

19:00 A materials informatics framework to discover patterns in atom probe tomography data. - Alaukik Saxena (Max-Planck-Institut für Eisenforschung GmbH ( Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE) ))

19:00 Multidimensional Photoemission Spectroscopy: proposal & demonstration of data (infra)structure - Tommaso Pincelli (Fritz Haber Institute of the Max Planck Society) Steinn Ymir Agustsson (JGU Mainz)
Wednesday, 15 September 2021
14:00
14:00 - 18:45
Contributions

14:00 Tutorial "Tips, tricks, and tools for reproducible materials science" - Niels Cautaerts (Max-Planck-Institut für Eisenforschung GmbH)

15:00 Lecture "Neural Networks with Euclidean Symmetry for Physical Sciences" - Tess Smidt (Berkeley Lab)

16:45 Tutorial "Neural Networks with Euclidean Symmetry for Physical Sciences" - Tess Smidt (Berkeley Lab)

17:45 Lecture "Artificial Intelligence and High-Performance Data Mining for Accelerating Scientific Discovery" - Ankit Agrawal (Northwestern University)
Thursday, 16 September 2021
14:00
14:00 - 17:45
Contributions

14:00 Lecture "Variational methods in material sciences" - Gabriele Steidl (TU Berlin)

15:00 Lecture "HyperSpy: theory and applications" - Francisco De La Peña (Université de Lille)

16:45 Tutorial "Introduction to EELS analysis with HyperSpy" - Francisco De La Peña (Université de Lille)
Friday, 17 September 2021
14:00
14:00 - 17:30
Contributions

14:00 Lecture "NFDI4Chem" - Nicole Jung (Karlsruhe Institute of Technology)

15:00 Lecture "Structuring, analyzing, and harvesting big data in materials science electron microscopy" - Christoph Koch (Humboldt-Universität zu Berlin)

16:30 Tutorial "Sharing, publishing, and managing computational materials science data with NOMAD" - Markus Scheidgen (Humboldt Universität zu Berlin / Fritz Haber Institut der Max Planck Gesellschaft)
17:30

17:30 - 17:45

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