Symbolic Learning for Material Discovery
- Daniel Cunnington
- Flaviu Cipcigan
- et al.
- 2023
- NeurIPS 2023
Rodrigo has a BSc in Physics (2008, Cum Laude) from the Federal University of Rio de Janeiro (UFRJ) and a PhD in Physics (2013) from UFRJ with a sandwich PhD fellowship from the International Centre for Theoretical Physics (Trieste, Italy). In his PhD thesis entitled "Multiscale magnetism: from first-principles to finite temperature", he studied magnetic nanostructures with a multiscale computational approach aiming at their technological applications.
Rodrigo's current research interests are in the field of carbon capture, storage and sequestration in porous media, considering both synthesised nanoporous materials as well as naturally-occurring porous rocks. He develops and extends computational screening methods to discover and optimise materials that can enhance the carbon removal potential of various industrial processes.