Enhancing MXene-based supercapacitors: Role of synthesis and 3D architectures
MXene has been the limelight for studies on electrode active materials, aiming at developing
supercapacitors with boosted energy density to meet the emerging influx of wearable and …
supercapacitors with boosted energy density to meet the emerging influx of wearable and …
Double transition-metal MXenes: Classification, properties, machine learning, artificial intelligence, and energy storage applications
Continuous research efforts have yielded significant advancements in MXenes, particularly
with the discovery of ordered double transition metal (DTM) MXenes. These DTM MXenes …
with the discovery of ordered double transition metal (DTM) MXenes. These DTM MXenes …
Effect of Crystal Transformation on the Intrinsic Defects and the Microwave Absorption Performance of Mo2TiC2Tx/RGO Microspheres
The nitrides and carbides of transition metals are highly favored due to their excellent
physical and chemical properties, among which MXene is a hot research topic for …
physical and chemical properties, among which MXene is a hot research topic for …
Reticulation of 1D/2D Mo2TiC2 MXene for excellent supercapacitor performance
Heterostructures of MXene are promising for electrochemical energy storage devices
(EESDs) because of their synergistic effect and interfacial-driven properties. However, the …
(EESDs) because of their synergistic effect and interfacial-driven properties. However, the …
Improved electrocatalytic efficiency of nitrogen-doped Nb2CTx MXene in basic electrolyte for overall water splitting
Two-dimensional MXene is demonstrating promising efficiency for the generation of oxygen
(O 2) and hydrogen (H 2). For cost-effective water-splitting electrolysis that performs well in …
(O 2) and hydrogen (H 2). For cost-effective water-splitting electrolysis that performs well in …
Machine learning models for prediction of electrochemical properties in supercapacitor electrodes using MXene and graphene nanoplatelets
Herein, machine learning (ML) models using multiple linear regression (MLR), support
vector regression (SVR), random forest (RF) and artificial neural network (ANN) are …
vector regression (SVR), random forest (RF) and artificial neural network (ANN) are …
Enhanced magnetic susceptibility in Ti 3 C 2 T x MXene with Co and Ni incorporation
Magnetic nanomaterials are sought to provide new functionalities for applications ranging
from information processing and storage to energy generation and biomedical imaging …
from information processing and storage to energy generation and biomedical imaging …
First Observation of Induced Ferroelectric and Magnetoelectric Properties in Pristine and Ni‐Intercalated Mo2TiC2Tx Double Transition Metal MXene
In recent years, multiferroic (MF) materials have attained remarkable attention because of
their exceptional ability to demonstrate both ferroelectric (FE) and magnetic properties …
their exceptional ability to demonstrate both ferroelectric (FE) and magnetic properties …
Double transition metal MXenes for enhanced electrochemical applications: Challenges and opportunities
Double transition metal (DTM) MXenes are a recently discovered class of two‐dimensional
composite nanomaterials with excellent potential in energy storage applications. Since their …
composite nanomaterials with excellent potential in energy storage applications. Since their …
Recent Advances of Flexible MXene and its Composites for Supercapacitors
S Jiang, L Lu, Y Song - Chemistry–A European Journal, 2024 - Wiley Online Library
MXenes have unique properties such as high electrical conductivity, excellent mechanical
properties, rich surface chemistry, and convenient processability. These characteristics …
properties, rich surface chemistry, and convenient processability. These characteristics …