MXene as emerging material for photocatalytic degradation of environmental pollutants
In recent years, MXene has attracted significant interest in the photocatalysis because of its
novel physical and chemical characteristics, including uniform planer structure, strong …
novel physical and chemical characteristics, including uniform planer structure, strong …
MXene-based phase change materials for solar thermal energy storage
MXene is a new and excellent class of two-dimensional (2D) materials discovered in the last
decade. The community of MXenes has drawn significant research attention because of its …
decade. The community of MXenes has drawn significant research attention because of its …
Application of novel framework based on ensemble boosted regression trees and Gaussian process regression in modelling thermal performance of small-scale …
This work examined the thermal performance of a small-scale solar organic Rankine cycle
system, in which a flat plate solar collector was employed to supply heat to the organic …
system, in which a flat plate solar collector was employed to supply heat to the organic …
Recent trends in MXene-based material for biomedical applications
MXene is a magical class of 2D nanomaterials and emerging in many applications in
diverse fields. Due to the multiple advantageous characteristics of its fundamental …
diverse fields. Due to the multiple advantageous characteristics of its fundamental …
Rapid growth of MXene-based membranes for sustainable environmental pollution remediation
Water consumption has grown in recent years due to rising urbanization and industry. As a
result, global water stocks are steadily depleting. As a result, it is critical to seek strategies for …
result, global water stocks are steadily depleting. As a result, it is critical to seek strategies for …
Renewable energy approach towards powering the CI engine with ternary blends of algal biodiesel-diesel-diethyl ether: Bayesian optimized Gaussian process …
The present study investigates the performance and emissions of a small diesel engine
powered with ternary blends of algal biodiesel, diesel, and diethyl ether. The findings …
powered with ternary blends of algal biodiesel, diesel, and diethyl ether. The findings …
Exploring the specific heat capacity of water-based hybrid nanofluids for solar energy applications: A comparative evaluation of modern ensemble machine learning …
The current study aims to give insight into the usefulness of three underutilized yet
exceptionally efficient machine learning approaches in estimating the specific heat capacity …
exceptionally efficient machine learning approaches in estimating the specific heat capacity …
Advanced growth of 2D MXene for electrochemical sensors
Over the last few years, electroanalysis has made significant advancements, particularly in
develo** electrochemical sensors. Electrochemical sensors generally include emerging …
develo** electrochemical sensors. Electrochemical sensors generally include emerging …
New insights into MXene applications for sustainable environmental remediation
Multiple ecological contaminants in gaseous, liquid, and solid forms are vented into
ecosystems due to the huge growth of industrialization, which is today at the forefront of …
ecosystems due to the huge growth of industrialization, which is today at the forefront of …
Experimental analysis of novel ionic liquid-MXene hybrid nanofluid's energy storage properties: Model-prediction using modern ensemble machine learning methods
Abstracts The current work employs two modern ensemble machine learning algorithms,
Matern 5/2 Gaussian process regression (GPR) and quadratic support vector regression …
Matern 5/2 Gaussian process regression (GPR) and quadratic support vector regression …