GIANMARCO TERRONES
CHEMICAL ENGINEERING
PI: Heather Kulik
PhD Candidate
Bachelor of Science in Chemical Engineering, California Institute of Technology, 2020
Gianmarco Terrones is a second-year Ph.D. candidate in Chemical Engineering at MIT, where he is a member of the Kulik group. His research focuses on chemical property prediction with machine learning and ab initio methods, with applications toward multi-objective earth abundant materials design. Gianmarco received his Bachelor of Science in Chemical Engineering from the California Institute of Technology, where he researched with the Lewis and Callies groups. He is an Alfred P. Sloan 2021 Scholar.
PUBLICATIONS:
- Low-cost machine learning prediction of excited state properties of iridium-centered phosphors (2023)
- A Database of Ultrastable MOFs Reassembled from Stable Fragments with Machine Learning Models (2023)
- Active Learning Exploration of Transition Metal Complexes to Discover Method-Insensitive and Synthetically Accessible Chromophores (2023)
- Effects of MOF Linker Rotation and Functionalization on Methane Uptake and Diffusion (2023)
- MOFSimplify: Machine Learning Models with Extracted Stability Data of Three Thousand Metal–Organic Frameworks