Machine learning-driven preparation of high-performance bio-derived carbon catalyst for conversion of cellulose

点击翻译按钮获取中文摘要

The research is divided into two parts. One is building database and material informatics. In this part, we have sourced 112 raw materials including both plant-based and animal-based materials. The characterization has been done by FTIR (50 raw materials), XRD (50 raw materials), and SEM (20 raw materials). 20 raw materials were converted into carbon materials. The selection of descriptors and data pre-processing methods have been decided based the demonstration of building data and predictions of 138 commercial carbons (20k data). Part two is the synthesis of catalyst and evaluation for conversion of cellulose. In this part, the preparation for evaluation of products from conversion of cellulose by using the synthesized catalysts have been started, such as setting up the reactor and HPLC.