Machine learning models for prediction of electrochemical properties in supercapacitor electrodes using MXene and graphene nanoplatelets
-
Published:2024-03
Issue:
Volume:484
Page:149502
-
ISSN:1385-8947
-
Container-title:Chemical Engineering Journal
-
language:en
-
Short-container-title:Chemical Engineering Journal
Author:
Shariq Mohammed,
Marimuthu SathishORCID,
Dixit Amit Rai,
Chattopadhyaya Somnath,
Pandiaraj Saravanan,
Muthuramamoorthy MuthumareeswaranORCID,
Alodhyab Abdullah N.ORCID,
Khaja Nazeeruddin Mohammad,
Grace Andrews Nirmala
Reference65 articles.
1. Rational design of nanostructured electrode materials toward multifunctional supercapacitors;Yan;Adv. Funct. Mater.,2020
2. Emerging two-dimensional (2D) MXene-based nanostructured materials: synthesis strategies, properties, and applications as efficient pseudo-supercapacitors;Wang;Chem. Eng. J.,2023
3. Ti3C2Tx MXene based hybrid electrodes for wearable supercapacitors with varied deformation capabilities;Zhang;Chem. Eng. J.,2022
4. A.G. Olabi, Q. Abbas, A. Al Makky, M.A. Abdelkareem, Supercapacitors as next generation energy storage devices: Properties and applications, Energy 248 (2022) 123617. 10.1016/j.energy.2022.123617.
5. Ten years of progress in the synthesis and development of mxenes;Naguib;Adv. Mater.,2021
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献