MDLab: AI frameworks for Carbon Capture and Battery Materials
- Bruce Elmegreen
- Hendrik Hamann
- et al.
- 2025
- Frontiers in Environmental Science
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 computational materials discovery, more specifically, for carbon capture materials. He develops and extends computational screening methods to discover and optimize materials that can enhance the carbon removal potential of various industrial processes. The methodologies used include classical simulations, quantum computing and foundation models.
Leveraging our expertise in materials science, AI, quantum and high performance computing, we're developing a more powerful, sustainable, and energy-efficient battery.