Machine Learning Model Insights into Base-Catalyzed Hydrothermal Lignin Depolymerization
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Chemical Society
2023-08-01
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| Series: | ACS Omega |
| Online Access: | https://doi.org/10.1021/acsomega.3c04168 |
| _version_ | 1797692628446216192 |
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| author | Abraham Castro Garcia Shuo Cheng Shawn E. McGlynn Jeffrey S. Cross |
| author_facet | Abraham Castro Garcia Shuo Cheng Shawn E. McGlynn Jeffrey S. Cross |
| author_sort | Abraham Castro Garcia |
| collection | DOAJ |
| first_indexed | 2024-03-12T02:31:20Z |
| format | Article |
| id | doaj.art-e2a65b0f9e3c463595867973b58c1005 |
| institution | Directory Open Access Journal |
| issn | 2470-1343 |
| language | English |
| last_indexed | 2024-03-12T02:31:20Z |
| publishDate | 2023-08-01 |
| publisher | American Chemical Society |
| record_format | Article |
| series | ACS Omega |
| spelling | doaj.art-e2a65b0f9e3c463595867973b58c10052023-09-05T08:05:18ZengAmerican Chemical SocietyACS Omega2470-13432023-08-01835320783208910.1021/acsomega.3c04168Machine Learning Model Insights into Base-Catalyzed Hydrothermal Lignin DepolymerizationAbraham Castro Garcia0Shuo Cheng1Shawn E. McGlynn2Jeffrey S. Cross3Department of Transdisciplinary Science and Engineering, School of Environment and Society, Tokyo Institute of Technology, Tokyo, JapanDepartment of Transdisciplinary Science and Engineering, School of Environment and Society, Tokyo Institute of Technology, Tokyo, JapanEarth-Life Science Institute, Tokyo Institute of Technology, Tokyo, JapanDepartment of Transdisciplinary Science and Engineering, School of Environment and Society, Tokyo Institute of Technology, Tokyo, Japanhttps://doi.org/10.1021/acsomega.3c04168 |
| spellingShingle | Abraham Castro Garcia Shuo Cheng Shawn E. McGlynn Jeffrey S. Cross Machine Learning Model Insights into Base-Catalyzed Hydrothermal Lignin Depolymerization ACS Omega |
| title | Machine Learning Model Insights into Base-Catalyzed Hydrothermal Lignin Depolymerization |
| title_full | Machine Learning Model Insights into Base-Catalyzed Hydrothermal Lignin Depolymerization |
| title_fullStr | Machine Learning Model Insights into Base-Catalyzed Hydrothermal Lignin Depolymerization |
| title_full_unstemmed | Machine Learning Model Insights into Base-Catalyzed Hydrothermal Lignin Depolymerization |
| title_short | Machine Learning Model Insights into Base-Catalyzed Hydrothermal Lignin Depolymerization |
| title_sort | machine learning model insights into base catalyzed hydrothermal lignin depolymerization |
| url | https://doi.org/10.1021/acsomega.3c04168 |
| work_keys_str_mv | AT abrahamcastrogarcia machinelearningmodelinsightsintobasecatalyzedhydrothermallignindepolymerization AT shuocheng machinelearningmodelinsightsintobasecatalyzedhydrothermallignindepolymerization AT shawnemcglynn machinelearningmodelinsightsintobasecatalyzedhydrothermallignindepolymerization AT jeffreyscross machinelearningmodelinsightsintobasecatalyzedhydrothermallignindepolymerization |