Recent advances in machine learning applications for MXene materials: Design, synthesis, characterization, and commercialization for energy and environmental applications

Recent advances in machine learning applications for MXene materials: Design, synthesis, characterization, and commercialization for energy and environmental applications

MXene-based materials are characterized by excellent superconductivity, superb ion-holding capacity, large surface area, and rapid electrochemical reactions, making them viable options for applications in high-capacity energy storage and conversion systems (ESCS) such as portable digital devices, el...

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Bibliographic Details
Main Authors: Sodiq Abiodun Kareem, Makinde Akindeji Ibrahim, Justus Uchenna Anaele, Olajesu Favor Olanrewaju, Emmanuel Omosegunfunmi Aikulola, Michael Oluwatosin Bodunrin
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Next Materials
Subjects:
MXene materials
Materials discovery
Machine Learning
Synthesis
Energy
Environment
Online Access:http://www.sciencedirect.com/science/article/pii/S294982282500382X
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