2026-10-14T19:18:32Z https://www.scidb.cn/oai

10.57760/sciencedb.j00124.00342 2025-12-19T19:40:53Z

2025-12-19 Machine learning-based prediction and optimization of the cellulose conversion process for levulinic acid production doi:10.57760/sciencedb.j00124.00342 en This dataset is the data for predicting and optimizing the process of cellulose conversion to produce acetic acid based on machine learning in the paper. It includes the original dataset and is drawn using Python 3.9.12 for the purpose of analyzing and presenting the results of the paper.  machine learning; cellulose conversion; levulinic acid; metal salt catalysts; gradient boosting regression zhao hui ting Jie Yujiao Xu Dongqian Dong Fangxu Cui Hongyou PUBLIC https://creativecommons.org/publicdomain/zero/1.0/ dataset Science Data Bank