Tackling scientific problems often requires computational models that bridge several spatial and temporal scales. A new simulation framework employing machine learning, which is scalable and can be used on standard laptops as well as supercomputers, promises exhaustive multiscale explorations.
- Harsh Bhatia
- Timothy S. Carpenter
- Peer-Timo Bremer
