Double transition-metal MXenes: Classification, properties, machine learning, artificial intelligence, and energy storage applications-Reference-Cited by-同舟云学术

Double transition-metal MXenes: Classification, properties, machine learning, artificial intelligence, and energy storage applications

Published:2024-03 Issue: Volume:42 Page:101382
ISSN:2542-5293
Container-title:Materials Today Physics
language:en
Short-container-title:Materials Today Physics

Author:

Hussain Iftikhar^ORCID,Sajjad Uzair,Kewate Onkar Jaywant,Amara Umay,Bibi Faiza,Hanan Abdul,Potphode Darshna,Ahmad Muhammad,Javed Muhammad Sufyan,Rosaiah P.,Hussain Sajjad,Khan Karim,Ajmal Zeeshan,Punniyakoti S.,Alarfaji Saleh S.,Kang Jee-Hyun,Al Zoubi Wail,Sahoo Sumanta,Zhang Kaili

Funder

Deanship of Scientific Research, King Khalid University

National Research Foundation of Korea

Research Grants Council, University Grants Committee

City University of Hong Kong

Publisher

Elsevier BV

Reference204 articles.

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3. Modified KBBF-like material for energy storage applications: ZnNiBO3 (OH) with enhanced cycle life;Hussain;ACS Appl. Mater. Interfaces,2022

4. Recent advances in oriented metal–organic frameworks for supercapacitive energy storage;Hussain;J. Mater. Chem. A,2022

5. Connecting the macroscopic and mesoscopic properties of sintered silver nanoparticles by crystal plasticity finite element method;Long;Eng. Fract. Mech.,2023

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