Workshop Program

The scientific program will start Monday at 3 pm and will end Friday 11:30 am.

You can find a program draft, here: pdf

Invited speakers and talks (+slides):

• Stefan Bauer (Max Planck Institute for Intelligent Systems, Tübingen, Germany)

     Recent Advances in Unsupervised Representation Learning
     Hot Topic: Learning Disentangled Representations

• Hans-Joachim Bungartz (Technische Universität München, Germany)

     Research Data Infrastructures – How Generic, How Specific? Overview of the GeRDIProject

• Claudia Draxl (Humboldt-Universität zu Berlin, Germany)

     The NOMAD Encyclopedia – a Tool for Exploring Computed Data
     Hot Topic: Benchmark Calculations Towards Ultimate Precision in Density-Functional Theory

• Luca M. Ghiringhelli (Fritz-Haber-Institut, Berlin, Germany)

     Metadata towards FAIR data sharing for data-driven materials science: achievements and open challenges
     Hot Topic: Identifying interpretable descriptors for materials properties with subgroup discovery and information theory
     Learning Descriptors for Materials Properties with Symbolic Regression and Compressed Sensing

• Cecile Hébert (EPFL Lausanne, Switzerland)

     Big Data in analytical TEM
     Hot Topic: Machine learning tools in analytical TEM

• Karsten Jacobsen (Danish Technical University, Denmark)

     Machine learning and computational screening
     Hot Topic: High Entropy Alloys for Catalysis

• Chiho Kim (Georgia Tech, USA)

     Polymer Informatics: Past, Present, and Future

• Dierk Raabe (Max-Planck-Institut für Eisenforschung GmbH, Düsseldorf, Germany)

     Big Data-Related Challenges in Microstructure Research and Alloy Design
     Hot topic: Atomic-Scale Imaging of Chemistry at Lattice Defects

• Markus Rampp (Max Planck Computing and Data Facility, Garching, Germany) ''

     High-performance Data Analytics Basic concepts of distributed deep learning

• Joseph F. Rudzinski (Max Planck Institute for Polymer Research, Mainz, Germany)

     Data-driven methods for soft matter
     Hot Topic: Variational autoencoders for dimensionality reduction and clustering of molecular dynamics data

• Matthias Scheffler(Fritz-Haber-Institut, Berlin, Germany)

     BigMax

• Isao Tanaka (University Kyoto, Japan)

     Recommender System for Materials Discovery
     Hot topic: Data Driven Discovery of New Inorganic Crystalline Materials

• Annette Trunschke (Fritz-Haber-Institut, Berlin, Germany)

     Big-Data Driven Catalysis Research: Challenges and Chances
     Hot topic: Clean Data Acquisition in Oxidation Catalysis

• Jilles Vreeken (Helmholtz Center for Information Security, Germany)

     Material Subgroups
     Hot topic: Telling Causal from Confounded

• Siyuan Zhang (Max-Planck-Institut für Eisenforschung GmbH, Düsseldorf, Germany)

     Modern electron microscopy goes high dimensions: handling big data

There will be 60-minute pedagogical presentations and 20-minute “hot topic” talks on recent research.