Explainable Deep Learning and Targeted Spectral Augmentation for Mid-Infrared Classification of Additive-Containing Polymers
- DOI
- 10.1021/acs.jpcb.6c02143
- Published
- 2026-07-27
- Container
- The Journal of Physical Chemistry B
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jpcb.6c02143,
title = {Explainable Deep
Learning and Targeted Spectral Augmentation
for Mid-Infrared Classification of Additive-Containing Polymers},
author = {Nicholas Stavinski and Vaishali Maheshkar and Charutha Dassanayake and Fransuas P. González Ortiz and Gleniarys N. Rivera-Torres and Karthik Dantu and Luis Velarde},
year = {2026},
journal = {The Journal of Physical
Chemistry B},
doi = {10.1021/acs.jpcb.6c02143},
url = {https://doi.org/10.1021/acs.jpcb.6c02143}
}RIS
TY - JOUR TI - Explainable Deep Learning and Targeted Spectral Augmentation for Mid-Infrared Classification of Additive-Containing Polymers AU - Nicholas Stavinski AU - Vaishali Maheshkar AU - Charutha Dassanayake AU - Fransuas P. González Ortiz AU - Gleniarys N. Rivera-Torres AU - Karthik Dantu AU - Luis Velarde PY - 2026 JO - The Journal of Physical Chemistry B DO - 10.1021/acs.jpcb.6c02143 UR - https://doi.org/10.1021/acs.jpcb.6c02143 ER -
APA
Stavinski, N., Maheshkar, V., Dassanayake, C., Ortiz, F. P. G., Rivera-Torres, G. N., Dantu, K., & Velarde, L. (2026). Explainable Deep Learning and Targeted Spectral Augmentation for Mid-Infrared Classification of Additive-Containing Polymers. The Journal of Physical Chemistry B. https://doi.org/10.1021/acs.jpcb.6c02143
Source records
- crossref · retrieved 2026-09-25T19:07:27.265Z