Ушбу ишга иқтибос қилган ишлар

2 та иш

Иш: Machine Learning Prediction of the Yield and BET Area of Activated Carbon Quantitatively Relating to Biomass Compositions and Operating Conditions

STUDY OF AMINO-CONTAINING COMPOUNDS, ACID CORROSION INHIBITORS AND PRODUCTS OF THEIR DESTRUCTION DURING THE ABSORPTION PROCESS
Mukhtor Jamolovich Makhmudov, Sherdil A. Rizayev
МақолаMaterial Properties and ApplicationsAustrian Journal of Technical and Natural Sciences20240 иқтибос
ABI
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
МақолаSupercapacitor Materials and FabricationACS Applied Nano Materials20250 иқтибос
ABI

Ушбу ишга иқтибос қилган ишлар

STUDY OF AMINO-CONTAINING COMPOUNDS, ACID CORROSION INHIBITORS AND PRODUCTS OF THEIR DESTRUCTION DURING THE ABSORPTION PROCESS

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