Matthew R. Carbone

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 9

Top Topics

Piecewise Affine

Diffusion Model

Top Venues

J. Open Source Softw.

Publications

Hyuna Kwon, Tim Hsu, Wenyu Sun, Wonseok Jeong, Fikret Aydin, James Chapman, Xiao Chen, Matthew R. Carbone, Deyu Lu, Fei Zhou, Tuan Anh Pham
Spectroscopy-Guided Discovery of Three-Dimensional Structures of Disordered Materials with Diffusion Models. CoRR (2023)
Zhu Liang, Matthew R. Carbone, Wei Chen, Fanchen Meng, Eli Stavitski, Deyu Lu, Mark S. Hybertsen, Xiaohui Qu
Decoding Structure-Spectrum Relationships with Physically Organized Latent Spaces. CoRR (2023)
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 K. Lynch, Bruce Ravel, Stuart B. Wilkins, Jakub Wlodek, Daniel Olds
Self-driving Multimodal Studies at User Facilities. CoRR (2023)
Wei Chen, Yihui Ren, Ai Kagawa, Matthew R. Carbone, Samuel Yen-Chi Chen, Xiaohui Qu, Shinjae Yoo, Austin Clyde, Arvind Ramanathan, Rick L. Stevens, Hubertus Van Dam, Deyu Lu
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. ICMLA (2023)
Matthew R. Carbone, Stepan Fomichev, Andrew J. Millis, Mona Berciu, David R. Reichman, John Sous
The Generalized Green's function Cluster Expansion: A Python package for simulating polarons. J. Open Source Softw. 8 (90) (2023)
Matthew R. Carbone, Fanchen Meng, Christian Vorwerk, Benedikt Maurer, Fabian Peschel, Xiaohui Qu, Eli Stavitski, Claudia Draxl, John Vinson, Deyu Lu
Lightshow: a Python package for generating computational x-ray absorption spectroscopy input files. J. Open Source Softw. 8 (87) (2023)
Wei Chen, Yihui Ren, Ai Kagawa, Matthew R. Carbone, Samuel Yen-Chi Chen, Xiaohui Qu, Shinjae Yoo, Austin Clyde, Arvind Ramanathan, Rick L. Stevens, Hubertus Johannes Jacobus van Dam, Deyu Lu
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. CoRR (2023)
Matthew R. Carbone
When not to use machine learning: a perspective on potential and limitations. CoRR (2022)
Cole Miles, Matthew R. Carbone, Erica J. Sturm, Deyu Lu, Andreas Weichselbaum, Kipton Barros, Robert M. Konik
Machine-learning Kondo physics using variational autoencoders. CoRR (2021)