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

被引：48

作者：

Hussain, Iftikhar ^{[1
]}

Sajjad, Uzair ^{[2
]}

Kewate, Onkar Jaywant ^{[3
]}

Amara, Umay ^{[4
]}

Bibi, Faiza ^{[5
]}

Hanan, Abdul ^{[5
]}

Potphode, Darshna ^{[6
]}

Ahmad, Muhammad ^{[1
]}

Javed, Muhammad Sufyan ^{[7
]}

Rosaiah, P. ^{[8
]}

Hussain, Sajjad ^{[9
]}

Khanj, Karim ^{[10
]}

Ajmal, Zeeshan ^{[11
]}

Punniyakoti, S. ^{[12
]}

Alarfaji, Saleh S. ^{[13
]}

Kang, Jee-Hyun ^{[14
]}

Al Zoubi, Wail ^{[14
]}

Sahoo, Sumanta ^{[15
]}

Zhang, Kaili ^{[1
]}

机构：

[1] City Univ Hong Kong, Dept Mech Engn, 83 Tat Chee Ave, Hong Kong, Peoples R China

[2] Natl Taipei Univ Technol, Dept Energy & Refrigerating Air Conditioning Engn, Taipei 10608, Taiwan

[3] Vellore Inst Technol, Sch Adv Sci, Vellore 632014, India

[4] Anhui Univ, Sch Mat Sci & Engn, Key Lab Struct & Funct Regulat Hybrid Mat, Minist Educ, Hefei 230601, Peoples R China

[5] Sunway Univ, Sunway Ctr Electrochem Energy & Sustainable Techno, Sch Engn & Technol, Subang Jaya 47500, Selangor, Malaysia

[6] SVKMs Narsee Monjee Inst Management Studies NMIMS, Sunandan Divatia Sch Sci, Dept Chem, Mumbai 400056, Maharashtra, India

[7] Lanzhou Univ, Sch Phys Sci & Technol, Lanzhou 730000, Peoples R China

[8] Saveetha Inst Med & Tech Sci SIMATS, Saveetha Sch Engn, Dept Phys, Chennai 602105, India

[9] Sejong Univ, Dept Nanotechnol & Adv Mat Engn, Seoul 05006, South Korea

[10] Shenzhen Univ, Addit Mfg Inst, Shenzhen 518060, Peoples R China

[11] Zhejiang Normal Univ, Coll Chem & Life Sci, Jinhua 321004, Zhejiang, Peoples R China

[12] Vellore Inst Technol, Sch Elect Engn, Vellore 632014, India

[13] King Khalid Univ, Fac Sci, Dept Chem, POBB 9004, Abha 61413, Saudi Arabia

[14] Yeungnam Univ, Sch Mat Sci & Engn, Gyongsan 38541, South Korea

[15] Yeungnam Univ, Sch Chem Engn, Gyongsan 38541, Gyeongbuk, South Korea

来源：

MATERIALS TODAY PHYSICS | 2024年 / 42卷

基金：

新加坡国家研究基金会;

关键词：

MXenes; DTM MXenes; Properties; Energy storage; Artificial intelligence; Machine learning; PERFORMANCE ELECTRODE MATERIALS; NA-ION BATTERIES; ANODE MATERIALS; RECENT PROGRESS; 2-DIMENSIONAL MATERIALS; LI; CARBIDES; DESIGN; MO; 1ST-PRINCIPLES;

D O I：

10.1016/j.mtphys.2024.101382

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Continuous research efforts have yielded significant advancements in MXenes, particularly with the discovery of ordered double transition metal (DTM) MXenes. These DTM MXenes have expanded the MXene family by incorporating two different transition metals at the metal sites. In this review, the classification, properties, and energy storage applications of DTM MXenes have been thoroughly discussed. Additionally, the utilization of machine learning (ML) and artificial intelligence (AI) in theoretical modeling has also been studied to understand the development of DTM MXenes. Moreover, critical research directions have been outlined to pave the way for achieving high-performance DTM MXenes, not only for energy storage applications but also for broader and diverse applications in different fields.

引用

页数：21

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