Работы, цитирующие эту работу

Работ: 2

Работа: Machine learning aided supercritical water gasification for H2-rich syngas production with process optimization and catalyst screening

1. Integrated machine learning and genetic algorithm framework for optimizing methylcyclohexane dehydrogenation in liquid organic hydrogen carrier systems

   Zihao Xie, Abdul Saboor, Francis Kwarteng +7

   СтатьяHybrid Renewable Energy SystemsInternational Journal of Hydrogen Energy2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000828

2. Feature Engineering Enhanced Machine Learning Prediction of Pore Properties in Lignin-Derived Nanoporous Carbon for High-Performance Supercapacitor Applications

   Zihao Xie, Samir I. Gadow, Kakhramon Fayzullaev +3

   СтатьяSupercapacitor Materials and FabricationACS Applied Nano Materials2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001672