Name: BiGmax Workshop 2022
Start: 2022-04-11T13:00:00+02:00
End: 2022-04-13T13:00:00+02:00
Location: University Conference Centre in Bochum

BiGmax Workshop 2022

from Monday 11 April 2022 (13:00) to Wednesday 13 April 2022 (13:00)

Monday 11 April 2022

14:00 Welcome
Welcome
14:00 - 14:15
14:15
14:15 - 16:15
Contributions

14:15 From BiGmax to FAIR Data Sciences - Peter Benner (MPI Magdeburg) Santiago Rigamonti (Humboldt-Universität zu Berlin)

15:15 Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning (canceled) - Andreas Leitherer (Fritz Haber Institute of the Max Planck Society)

15:45 Short Poster Introductions
16:15 Coffee Break
Coffee Break
16:15 - 17:00
17:00
17:00 - 18:30
Contributions

17:00 Machine learning and Inverse design of soft materials - Marjolein Dijkstra (Utrecht University)

18:00 Automatizing the analysis of 3d structures in biological sample - Luca Curcuraci (Max-Planck-Institut für Kolloid- und Grenzflächenforschung)
18:30 Break
Break
18:30 - 19:00
19:00
19:00 - 20:30
Contributions

19:00 Measuring complexity & synthetic Hamilton matrices - Adisorn Panasawatwong (Max Plank Institute for the Physics of Complex Systems)

19:00 AI with experimental and theoretical data: role of the support material for CO2 hydrogenation - Ray Miyazaki (Fritz Haber Institute of the Max Planck Society)

19:00 Machine learning to push the limits of time-of-flight secondary ion mass spectrometry. - Nico Fransaert (X-LAB, Hasselt University)

19:00 A machine-learning-based approach for the elastoplastic response of polycrystalline materials - Mohammad Sarkari Khorrami (Max-Planck Institut für Eisenforschung)

19:00 Hydrogen Adsorption on Pd Surfaces and Its Effect on CO2 Activation - Herzain Isaac Rivera Arrieta (Fritz Haber Institute of the Max Planck Society)
Tuesday 12 April 2022
10:00
10:00 - 12:00
Contributions

10:00 Programmatic and Deep Learning Analysis Pipelines for 4D-STEM Materials Science Experiments - Colin Ophus (Lawrence Berkeley National Laboratory)

11:30 Development of an open source tool for automated crystal orientation mapping in the STEM - Christian Liebscher (MPIE)
12:00 Group Picture / Lunch Break
Group Picture / Lunch Break
12:00 - 13:30
13:30
13:30 - 17:45
Contributions

13:30 Neural Methods for Reconstruction and Rendering of Real World Scenes - Christian Theobalt (MPI for Informatics)

14:30 Scientific Machine Learning for discovery of Phase Field models - Sandeep Reddy Bukka (MPI Magdeburg)

15:30 Poster Session continued

16:15 Data mining potential in atom probe tomography - Shyam Katnagallu (Max Planck Institut fur Eisenforschung)

16:45 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) ))

17:15 Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography - Yue Li (Max-Planck-Institut für Eisenforschung GmbH)
18:30 Conference Dinner
Conference Dinner
18:30 - 20:30

20:30

20:30 - 21:30
Wednesday 13 April 2022
09:30
09:30 - 12:30
Contributions

09:30 Atomic Cluster Expansion and application to modelling of materials - Ralf Drautz (Ruhr-Universität Bochum)

11:00 Inverse design of multicomponent crystalline materials - Hongbin Zhang (TU Darmstadt)

11:30 Partial order-disorder transitions in thermoelectric clathrates: toward non-linear modelling of materials properties - Santiago Rigamonti (Hubboldt-Universität zu Berlin)

12:00 Improving Normalizing Flows to Sample from Boltzmann Distributions - Vincent Stimper (Max Planck Institute for Intelligent Systems)
12:30 Lunch and Farewell
Lunch and Farewell
12:30 - 13:00