Development of machine learning models for predicting properties of carbon materials and design of process conditions for production of materials with desired multiple properties.
- DOI
- 10.1007/s44211-026-00890-5
- Published
- 2026 Jul
- Container
- Analytical sciences : the international journal of the Japan Society for Analytical Chemistry
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/s44211-026-00890-5,
title = {Development of machine learning models for predicting properties of carbon materials and design of process conditions for production of materials with desired multiple properties.},
author = {Matsubara M and Sasaki R and Takahara JP and Moritake S and Harada Y and Kaneko H},
year = {2026},
journal = {Analytical sciences : the international journal of the Japan Society for Analytical Chemistry},
doi = {10.1007/s44211-026-00890-5},
url = {https://doi.org/10.1007/s44211-026-00890-5}
}RIS
TY - JOUR TI - Development of machine learning models for predicting properties of carbon materials and design of process conditions for production of materials with desired multiple properties. AU - Matsubara M AU - Sasaki R AU - Takahara JP AU - Moritake S AU - Harada Y AU - Kaneko H PY - 2026 JO - Analytical sciences : the international journal of the Japan Society for Analytical Chemistry DO - 10.1007/s44211-026-00890-5 UR - https://doi.org/10.1007/s44211-026-00890-5 ER -
APA
M, M., R, S., JP, T., S, M., Y, H., & H, K. (2026). Development of machine learning models for predicting properties of carbon materials and design of process conditions for production of materials with desired multiple properties.. Analytical sciences : the international journal of the Japan Society for Analytical Chemistry. https://doi.org/10.1007/s44211-026-00890-5
Source records
- pubmed · retrieved 2026-11-10T10:19:11.245Z