Ushbu ishga iqtibos qilgan ishlar

2 ta ish

Ish: 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
MaqolaMaterial Properties and ApplicationsAustrian Journal of Technical and Natural Sciences20240 iqtibos
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
MaqolaSupercapacitor Materials and FabricationACS Applied Nano Materials20250 iqtibos
ABI

Ushbu ishga iqtibos qilgan ishlar

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