Fusing Raman Spectra with Fiber Metrics in Machine Learning Models That Predict the Physical–Mechanical Properties of Paper
- DOI
- 10.1021/acs.analchem.5c01768
- Published
- 2025-07-03
- Container
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.analchem.5c01768,
title = {Fusing Raman Spectra with Fiber Metrics in Machine Learning Models That Predict the Physical–Mechanical Properties of Paper},
author = {Zahra Poursorkh and Hooman Tavakolizadeh and Ashton Christy and Wendy Tsai and Paul Bicho and Edward Grant},
year = {2025},
journal = {Analytical Chemistry},
doi = {10.1021/acs.analchem.5c01768},
url = {https://doi.org/10.1021/acs.analchem.5c01768}
}RIS
TY - JOUR TI - Fusing Raman Spectra with Fiber Metrics in Machine Learning Models That Predict the Physical–Mechanical Properties of Paper AU - Zahra Poursorkh AU - Hooman Tavakolizadeh AU - Ashton Christy AU - Wendy Tsai AU - Paul Bicho AU - Edward Grant PY - 2025 JO - Analytical Chemistry DO - 10.1021/acs.analchem.5c01768 UR - https://doi.org/10.1021/acs.analchem.5c01768 ER -
APA
Poursorkh, Z., Tavakolizadeh, H., Christy, A., Tsai, W., Bicho, P., & Grant, E. (2025). Fusing Raman Spectra with Fiber Metrics in Machine Learning Models That Predict the Physical–Mechanical Properties of Paper. Analytical Chemistry. https://doi.org/10.1021/acs.analchem.5c01768
Source records
- crossref · retrieved 2026-09-26T04:24:31.051Z