Construction of Machine Learning Models to Predict the Maximum Absorption Wavelength Considering the Solute and Solvent and Inverse Analysis of the Models

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Bibliographic Details
Main Authors: Haruki Ochiai, Hiromasa Kaneko
Format: Article
Language:English
Published: American Chemical Society 2025-01-01
Series:ACS Omega
Online Access:https://doi.org/10.1021/acsomega.4c07490
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author Haruki Ochiai
Hiromasa Kaneko
author_facet Haruki Ochiai
Hiromasa Kaneko
author_sort Haruki Ochiai
collection DOAJ
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institution Kabale University
issn 2470-1343
language English
publishDate 2025-01-01
publisher American Chemical Society
record_format Article
series ACS Omega
spelling doaj-art-7b2cfeed98bb470d83f33156dd5cecf72025-01-14T11:33:08ZengAmerican Chemical SocietyACS Omega2470-13432025-01-0110166567210.1021/acsomega.4c07490Construction of Machine Learning Models to Predict the Maximum Absorption Wavelength Considering the Solute and Solvent and Inverse Analysis of the ModelsHaruki OchiaiHiromasa Kanekohttps://doi.org/10.1021/acsomega.4c07490
spellingShingle Haruki Ochiai
Hiromasa Kaneko
Construction of Machine Learning Models to Predict the Maximum Absorption Wavelength Considering the Solute and Solvent and Inverse Analysis of the Models
ACS Omega
title Construction of Machine Learning Models to Predict the Maximum Absorption Wavelength Considering the Solute and Solvent and Inverse Analysis of the Models
title_full Construction of Machine Learning Models to Predict the Maximum Absorption Wavelength Considering the Solute and Solvent and Inverse Analysis of the Models
title_fullStr Construction of Machine Learning Models to Predict the Maximum Absorption Wavelength Considering the Solute and Solvent and Inverse Analysis of the Models
title_full_unstemmed Construction of Machine Learning Models to Predict the Maximum Absorption Wavelength Considering the Solute and Solvent and Inverse Analysis of the Models
title_short Construction of Machine Learning Models to Predict the Maximum Absorption Wavelength Considering the Solute and Solvent and Inverse Analysis of the Models
title_sort construction of machine learning models to predict the maximum absorption wavelength considering the solute and solvent and inverse analysis of the models
url https://doi.org/10.1021/acsomega.4c07490
work_keys_str_mv AT harukiochiai constructionofmachinelearningmodelstopredictthemaximumabsorptionwavelengthconsideringthesoluteandsolventandinverseanalysisofthemodels
AT hiromasakaneko constructionofmachinelearningmodelstopredictthemaximumabsorptionwavelengthconsideringthesoluteandsolventandinverseanalysisofthemodels