
Matthew Carbone
Email: mrc2215-at-columbia-dot-eduResearch Interests
- Microscopic theory of and methods development for quasi-particle (e.g. trions, polarons) systems.
- Machine learning for chem-informatics applications.
Education
- Ph.D. Candidate in Chemical Physics, Columbia University, anticipated 2021 (Advisor: David Reichman)
- M.A in Chemical Physics, Columbia University, 2017
- B.S. Magna Cum Laude in Chemistry with Highest Distinction, University of Rochester, 2016 (Advisors: Pengfei Huo and Lewis Rothberg)
- B.A. in Physics with Highest Distinction, University of Rochester, 2016
Honors
- Department of Energy Computational Science Graduate Fellowship, 2017
- Dr. E. W. and Maude V. Flagg Award, 2016
- Phi Beta Kappa, University of Rochester, 2016
- Junior Scholar Award, 2015
- Carl A. Whiteman Jr. Teaching Award, 2015
- Sigma Pi Sigma Physics Honor Society, University of Rochester, 2015
Publications
- Random Forest Machine Learning Models for Interpretable X-ray Absorption Near-Edge Structure Spectrum-Property Relationships. npj Comput. Mater. 6, 109 (2020). ,
- Microscopic Model of the Doping Dependence of Line Widths in Monolayer Transition Metal Dichalcogenides. J. Chem. Phys. 152, 194705 (2020). ,
- Effective Trap-like Activated Dynamics in a Continuous Landscape. Phys. Rev. E 101, 052304 (2020). ,
- Machine-Learning X-ray Absorption Spectra to Quantitative Accuracy. Phys. Rev. Lett. 124, 156401 (2020). ,
- Classification of Local Chemical Environments from X-ray Absorption Spectra using Supervised Machine Learning. Phys. Rev. Mater. 3, 033604 (2019). ,
- Crystal structures of (RS)-N-[(1R,2S)-2-benzyloxy-1-(2,6-dimethylphenyl)propyl]-2-methylpropane-2-sulfinamide and (RS)-N-[(1S,2R)-2-benzyloxy-1-(2,4,6-trimethylphenyl)propyl]-2-methylpropane-2-sulfinamide: two related protected 1,2-amino alcohols. Acta. Cryst. E70, 365-369 (2014). ,