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, April 11, 2022 (1:00 PM) to Wednesday, April 13, 2022 (1:00 PM)

Monday, April 11, 2022

2:00 PM Welcome
Welcome
2:00 PM - 2:15 PM
2:15 PM Session I
2:15 PM - 4:15 PM
Contributions

2:15 PM From BiGmax to FAIR Data Sciences - Peter Benner (MPI Magdeburg) Santiago Rigamonti (Humboldt-Universität zu Berlin)

3:15 PM Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning (canceled) - Andreas Leitherer (Fritz Haber Institute of the Max Planck Society)

3:45 PM Short Poster Introductions
4:15 PM Coffee Break
Coffee Break
4:15 PM - 5:00 PM
5:00 PM Session II
5:00 PM - 6:30 PM
Contributions

5:00 PM Machine learning and Inverse design of soft materials - Marjolein Dijkstra (Utrecht University)

6:00 PM Automatizing the analysis of 3d structures in biological sample - Luca Curcuraci (Max-Planck-Institut für Kolloid- und Grenzflächenforschung)
6:30 PM Break
Break
6:30 PM - 7:00 PM
7:00 PM Poster Session / Steering Committee
7:00 PM - 8:30 PM
Contributions

7:00 PM Measuring complexity & synthetic Hamilton matrices - Adisorn Panasawatwong (Max Plank Institute for the Physics of Complex Systems)

7:00 PM AI with experimental and theoretical data: role of the support material for CO2 hydrogenation - Ray Miyazaki (Fritz Haber Institute of the Max Planck Society)

7:00 PM Machine learning to push the limits of time-of-flight secondary ion mass spectrometry. - Nico Fransaert (X-LAB, Hasselt University)

7:00 PM A machine-learning-based approach for the elastoplastic response of polycrystalline materials - Mohammad Sarkari Khorrami (Max-Planck Institut für Eisenforschung)

7:00 PM Hydrogen Adsorption on Pd Surfaces and Its Effect on CO2 Activation - Herzain Isaac Rivera Arrieta (Fritz Haber Institute of the Max Planck Society)
Tuesday, April 12, 2022
10:00 AM Session III
10:00 AM - 12:00 PM
Contributions

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

11:30 AM Development of an open source tool for automated crystal orientation mapping in the STEM - Christian Liebscher (MPIE)
12:00 PM Group Picture / Lunch Break
Group Picture / Lunch Break
12:00 PM - 1:30 PM
1:30 PM Session IV
1:30 PM - 5:45 PM
Contributions

1:30 PM Neural Methods for Reconstruction and Rendering of Real World Scenes - Christian Theobalt (MPI for Informatics)

2:30 PM Scientific Machine Learning for discovery of Phase Field models - Sandeep Reddy Bukka (MPI Magdeburg)

3:30 PM Poster Session continued

4:15 PM Data mining potential in atom probe tomography - Shyam Katnagallu (Max Planck Institut fur Eisenforschung)

4:45 PM 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) ))

5:15 PM Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography - Yue Li (Max-Planck-Institut für Eisenforschung GmbH)
6:30 PM Conference Dinner
Conference Dinner
6:30 PM - 8:30 PM

8:30 PM Panel Discussion

8:30 PM - 9:30 PM
Wednesday, April 13, 2022
9:30 AM Session V
9:30 AM - 12:30 PM
Contributions

9:30 AM Atomic Cluster Expansion and application to modelling of materials - Ralf Drautz (Ruhr-Universität Bochum)

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

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

12:00 PM Improving Normalizing Flows to Sample from Boltzmann Distributions - Vincent Stimper (Max Planck Institute for Intelligent Systems)
12:30 PM Lunch and Farewell
Lunch and Farewell
12:30 PM - 1:00 PM

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