Personal information

Verified email addresses

Verified email domains

United States

Activities

Employment (2)

Brookhaven National Laboratory: Upton, New York, US

2021-06-21 to present | Assistant Computational Scientist (Computing and Data Sciences Directorate)
Employment
Source: Self-asserted source
Matthew Carbone

Columbia University: New York, NY, US

2016-11-01 to 2021-06-20 | Graduate Student (Chemistry)
Employment
Source: Self-asserted source
Matthew Carbone

Education and qualifications (4)

Columbia University: New York, NY, US

2016-09-01 to 2021-06-30 | Ph.D. in Chemical Physics (Chemistry)
Education
Source: Self-asserted source
Matthew Carbone

Columbia University: New York, NY, US

2016-09-01 to 2017-05-20 | M.A. in Chemical Physics (Chemistry)
Education
Source: Self-asserted source
Matthew Carbone

University of Rochester: Rochester, NY, US

2012-09-01 to 2016-05-20 | B.S. in Chemistry with Highest Distinction (Chemistry)
Education
Source: Self-asserted source
Matthew Carbone

University of Rochester: Rochester, NY, US

2012-09-01 to 2016-05-20 | B.A. in Physics with Highest Distinction (Physics)
Education
Source: Self-asserted source
Matthew Carbone

Works (23)

Machine learning-guided discovery of polymer membranes for CO2 separation with genetic algorithm

Journal of Membrane Science
2024-12 | Journal article
Contributors: Yasemin Basdogan; Dylan R. Pollard; Tejus Shastry; Matthew R. Carbone; Sanat K. Kumar; Zhen-Gang Wang
Source: check_circle
Crossref

Machine learning-based discovery of molecular descriptors that control polymer gas permeation

Journal of Membrane Science
2024-03 | Journal article
Contributors: Tejus Shastry; Yasemin Basdogan; Zhen-Gang Wang; Sanat K. Kumar; Matthew R. Carbone
Source: check_circle
Crossref

Accurate, Uncertainty-Aware Classification of Molecular Chemical Motifs from Multimodal X-ray Absorption Spectroscopy

The Journal of Physical Chemistry A
2024-03-14 | Journal article
Contributors: Matthew R. Carbone; Phillip M. Maffettone; Xiaohui Qu; Shinjae Yoo; Deyu Lu
Source: check_circle
Crossref

Physically interpretable approximations of many-body spectral functions

Physical Review E
2024-01-11 | Journal article
Contributors: Shubhang Goswami; Kipton Barros; Matthew R. Carbone
Source: check_circle
Crossref

Self-driving Multimodal Studies at User Facilities

arXiv
2023 | Preprint
Contributors: Phillip M. Maffettone; Daniel B. Allan; Stuart I. Campbell; Matthew R. Carbone; Thomas A. Caswell; Brian L. DeCost; Dmitri Gavrilov; Marcus D. Hanwell; Howie Joress; Joshua Lynch et al.
Source: Self-asserted source
Matthew Carbone

Spectroscopy-Guided Discovery of Three-Dimensional Structures of Disordered Materials with Diffusion Models

2023-12-28 | Preprint
Contributors: Tuan Anh Pham; Hyuna Kwon; Tim Hsu; Wenyu Sun; Wonseok Jeong; Fikret Aydin; James Chapman; Xiao Chen; Matthew Carbone; Deyu Lu et al.
Source: check_circle
Crossref

The Generalized Green’s function Cluster Expansion: A Python package for simulating polarons

Journal of Open Source Software
2023-10-01 | Journal article
Contributors: Matthew R. Carbone; Stepan Fomichev; Andrew J. Millis; Mona Berciu; David R. Reichman; John Sous
Source: check_circle
Crossref

Lightshow: a Python package for generating computational x-ray absorption spectroscopy input files

Journal of Open Source Software
2023-07-29 | Journal article
Contributors: Matthew R. Carbone; Fanchen Meng; Christian Vorwerk; Benedikt Maurer; Fabian Peschel; Xiaohui Qu; Eli Stavitski; Claudia Draxl; John Vinson; Deyu Lu
Source: check_circle
Crossref

Simulated sulfur K-edge X-ray absorption spectroscopy database of lithium thiophosphate solid electrolytes

Scientific Data
2023-06-02 | Journal article
Contributors: Haoyue Guo; Matthew R. Carbone; Chuntian Cao; Jianzhou Qu; Yonghua Du; Seong-Min Bak; Conan Weiland; Feng Wang; Shinjae Yoo; Nongnuch Artrith et al.
Source: check_circle
Crossref

Decoding structure-spectrum relationships with physically organized latent spaces

Physical Review Materials
2023-05-16 | Journal article
Contributors: Zhu Liang; Matthew R. Carbone; Wei Chen; Fanchen Meng; Eli Stavitski; Deyu Lu; Mark S. Hybertsen; Xiaohui Qu
Source: check_circle
Crossref

Machine learning the spectral function of a hole in a quantum antiferromagnet

Physical Review B
2023-05-16 | Journal article
Contributors: Jackson Lee; Matthew R. Carbone; Weiguo Yin
Source: check_circle
Crossref

Uncertainty-aware predictions of molecular x-ray absorption spectra using neural network ensembles

Physical Review Research
2023-03-15 | Journal article
Contributors: Animesh Ghose; Mikhail Segal; Fanchen Meng; Zhu Liang; Mark S. Hybertsen; Xiaohui Qu; Eli Stavitski; Shinjae Yoo; Deyu Lu; Matthew R. Carbone
Source: check_circle
Crossref

When not to use machine learning: A perspective on potential and limitations

MRS Bulletin
2022-09 | Journal article
Contributors: Matthew R. Carbone
Source: check_circle
Crossref

Competition between energy- and entropy-driven activation in glasses

Physical Review E
2022-08-02 | Journal article
Contributors: Matthew R. Carbone; Marco Baity-Jesi
Source: check_circle
Crossref

Machine learning of Kondo physics using variational autoencoders and symbolic regression

Physical Review B
2021-12-06 | Journal article
Contributors: Cole Miles; Matthew R. Carbone; Erica J. Sturm; Deyu Lu; Andreas Weichselbaum; Kipton Barros; Robert M. Konik
Source: check_circle
Crossref

Bond-Peierls polaron: Moderate mass enhancement and current-carrying ground state

Physical Review B
2021-10-28 | Journal article
Contributors: Matthew R. Carbone; Andrew J. Millis; David R. Reichman; John Sous
Source: check_circle
Crossref

Numerically exact generalized Green's function cluster expansions for electron-phonon problems

Physical Review B
2021-07-06 | Journal article
Contributors: Matthew R. Carbone; David R. Reichman; John Sous
Source: check_circle
Crossref

Predicting impurity spectral functions using machine learning

Physical Review B
2021-06-14 | Journal article
Contributors: Erica J. Sturm; Matthew R. Carbone; Deyu Lu; Andreas Weichselbaum; Robert M. Konik
Source: check_circle
Crossref

Random forest machine learning models for interpretable X-ray absorption near-edge structure spectrum-property relationships

npj Computational Materials
2020-07-29 | Journal article
Contributors: Steven B. Torrisi; Matthew R. Carbone; Brian A. Rohr; Joseph H. Montoya; Yang Ha; Junko Yano; Santosh K. Suram; Linda Hung
Source: check_circle
Crossref

Microscopic model of the doping dependence of linewidths in monolayer transition metal dichalcogenides

The Journal of Chemical Physics
2020-05-21 | Journal article
Contributors: Matthew R. Carbone; Matthew Z. Mayers; David R. Reichman
Source: check_circle
Crossref

Effective traplike activated dynamics in a continuous landscape

Physical Review E
2020-05-07 | Journal article
Contributors: Matthew R. Carbone; Valerio Astuti; Marco Baity-Jesi
Source: check_circle
Crossref

Machine-Learning X-Ray Absorption Spectra to Quantitative Accuracy

Physical Review Letters
2020-04-16 | Journal article
Contributors: Matthew R. Carbone; Mehmet Topsakal; Deyu Lu; Shinjae Yoo
Source: check_circle
Crossref

Classification of local chemical environments from x-ray absorption spectra using supervised machine learning

Physical Review Materials
2019-03-13 | Journal article
Part of ISSN: 2475-9953
Contributors: Matthew R. Carbone; Shinjae Yoo; Mehmet Topsakal; Deyu Lu
Source: Self-asserted source
Matthew Carbone

Peer review (1 review for 1 publication/grant)

Review activity for Journal of chemical physics. (1)