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