BiGmax Workshop 2021
The BiGmax Workshop 2021 on Big-Data-Driven Materials Science will be held virtually from April 14 - 15, 2021.
The workshop is aimed at presenting results and new insights into data-driven materials science. Those can be based on approaches in statistical and machine learning, compressed sensing and other recent technologies from mathematics, computer science, statistics and information technology.
- Karsten Reuter (FHI) - Knowledge-Based Approaches in Catalysis and Energy Modelling
- Markus Buehler (MIT) - Computational material synthesis - Atomistic and molecular dynamics, and bio-inspired AI
- Dagmar Kainmueller (MDC Berlin) - 3D image analysis
- Michael Ortiz (Caltech & Bonn) - Model-Free Data-Driven Computing
We invite you to register and submit your abstract or poster title through our Indico webpage. The decision about acceptance will be communicated by the end of March 2021.
All participants will get access to the virtual presentations, poster sessions and discussions.
Registration is open until April 9, 2021.
If you have any questions, please send an e-mail to firstname.lastname@example.org.