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Sovizi S, Angizi S, Ahmad Alem SA, Goodarzi R, Taji Boyuk MRR, Ghanbari H, Szoszkiewicz R, Simchi A, Kruse P. Plasma Processing and Treatment of 2D Transition Metal Dichalcogenides: Tuning Properties and Defect Engineering. Chem Rev 2023; 123:13869-13951. [PMID: 38048483 PMCID: PMC10756211 DOI: 10.1021/acs.chemrev.3c00147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 08/31/2023] [Accepted: 11/09/2023] [Indexed: 12/06/2023]
Abstract
Two-dimensional transition metal dichalcogenides (TMDs) offer fascinating opportunities for fundamental nanoscale science and various technological applications. They are a promising platform for next generation optoelectronics and energy harvesting devices due to their exceptional characteristics at the nanoscale, such as tunable bandgap and strong light-matter interactions. The performance of TMD-based devices is mainly governed by the structure, composition, size, defects, and the state of their interfaces. Many properties of TMDs are influenced by the method of synthesis so numerous studies have focused on processing high-quality TMDs with controlled physicochemical properties. Plasma-based methods are cost-effective, well controllable, and scalable techniques that have recently attracted researchers' interest in the synthesis and modification of 2D TMDs. TMDs' reactivity toward plasma offers numerous opportunities to modify the surface of TMDs, including functionalization, defect engineering, doping, oxidation, phase engineering, etching, healing, morphological changes, and altering the surface energy. Here we comprehensively review all roles of plasma in the realm of TMDs. The fundamental science behind plasma processing and modification of TMDs and their applications in different fields are presented and discussed. Future perspectives and challenges are highlighted to demonstrate the prominence of TMDs and the importance of surface engineering in next-generation optoelectronic applications.
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Affiliation(s)
- Saeed Sovizi
- Faculty of
Chemistry, Biological and Chemical Research Centre, University of Warsaw, Żwirki i Wigury 101, 02-089, Warsaw, Poland
| | - Shayan Angizi
- Department
of Chemistry and Chemical Biology, McMaster
University, Hamilton, Ontario L8S 4M1, Canada
| | - Sayed Ali Ahmad Alem
- Chair in
Chemistry of Polymeric Materials, Montanuniversität
Leoben, Leoben 8700, Austria
| | - Reyhaneh Goodarzi
- School of
Metallurgy and Materials Engineering, Iran
University of Science and Technology (IUST), Narmak, 16846-13114, Tehran, Iran
| | | | - Hajar Ghanbari
- School of
Metallurgy and Materials Engineering, Iran
University of Science and Technology (IUST), Narmak, 16846-13114, Tehran, Iran
| | - Robert Szoszkiewicz
- Faculty of
Chemistry, Biological and Chemical Research Centre, University of Warsaw, Żwirki i Wigury 101, 02-089, Warsaw, Poland
| | - Abdolreza Simchi
- Department
of Materials Science and Engineering and Institute for Nanoscience
and Nanotechnology, Sharif University of
Technology, 14588-89694 Tehran, Iran
- Center for
Nanoscience and Nanotechnology, Institute for Convergence Science
& Technology, Sharif University of Technology, 14588-89694 Tehran, Iran
| | - Peter Kruse
- Department
of Chemistry and Chemical Biology, McMaster
University, Hamilton, Ontario L8S 4M1, Canada
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He Y, Chen X, Lei Y, Liu Y, Wang L. Revisited Catalytic Hydrogen Evolution Reaction Mechanism of MoS 2. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:2522. [PMID: 37764552 PMCID: PMC10537733 DOI: 10.3390/nano13182522] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 08/30/2023] [Accepted: 09/02/2023] [Indexed: 09/29/2023]
Abstract
MoS2 has long been considered a promising catalyst for hydrogen production. At present, there are many strategies to further improve its catalytic performance, such as edge engineering, defect engineering, phase engineering, and so on. However, at present, there is still a great deal of controversy about the mechanism of MoS2 catalytic hydrogen production. For example, it is generally believed that the base plane of MoS2 is inert; however, it has been reported that the inert base plane can undergo a transient phase transition in the catalytic process to play the catalytic role, which is contrary to the common understanding that the catalytic activity only occurs at the edge. Therefore, it is necessary to further understand the mechanism of MoS2 catalytic hydrogen production. In this article, we summarized the latest research progress on the catalytic hydrogen production of MoS2, which is of great significance for revisiting the mechanism of MoS2 catalytic hydrogen production.
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Affiliation(s)
| | | | | | | | - Longlu Wang
- College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing 210023, China; (Y.H.); (X.C.); (Y.L.); (Y.L.)
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Lee J, Shin S, Lee J, Han YK, Lee W, Son Y. Genetic descriptor search algorithm for predicting hydrogen adsorption free energy of 2D material. Sci Rep 2023; 13:12729. [PMID: 37543706 PMCID: PMC10404247 DOI: 10.1038/s41598-023-39696-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Accepted: 07/29/2023] [Indexed: 08/07/2023] Open
Abstract
Transition metal dichalcogenides (TMDs) have emerged as a promising alternative to noble metals in the field of electrocatalysts for the hydrogen evolution reaction. However, previous attempts using machine learning to predict TMD properties, such as catalytic activity, have been shown to have limitations in their dependence on large amounts of training data and massive computations. Herein, we propose a genetic descriptor search that efficiently identifies a set of descriptors through a genetic algorithm, without requiring intensive calculations. We conducted both quantitative and qualitative experiments on a total of 70 TMDs to predict hydrogen adsorption free energy ([Formula: see text]) with the generated descriptors. The results demonstrate that the proposed method significantly outperformed the feature extraction methods that are currently widely used in machine learning applications.
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Affiliation(s)
- Jaehwan Lee
- Department of Industrial and Systems Engineering, Dongguk University-Seoul, Seoul, 04620, South Korea
- Data Science Laboratory (DSLAB), Dongguk University-Seoul, Seoul, 04620, South Korea
| | - Seokwon Shin
- Department of Industrial and Systems Engineering, Dongguk University-Seoul, Seoul, 04620, South Korea
- Data Science Laboratory (DSLAB), Dongguk University-Seoul, Seoul, 04620, South Korea
| | - Jaeho Lee
- Department of Energy and Materials Engineering, Dongguk University-Seoul, Seoul, 04620, South Korea
| | - Young-Kyu Han
- Department of Energy and Materials Engineering, Dongguk University-Seoul, Seoul, 04620, South Korea.
| | - Woojin Lee
- School of AI Convergence, Dongguk University-Seoul, Seoul, 04620, South Korea.
| | - Youngdoo Son
- Department of Industrial and Systems Engineering, Dongguk University-Seoul, Seoul, 04620, South Korea.
- Data Science Laboratory (DSLAB), Dongguk University-Seoul, Seoul, 04620, South Korea.
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Ouyang B, Zhang Y, Wang X, Deng Y, Liu F, Fang Z, Rawat RS, Kan E. Facet Control of Nickel Nitride Nano-Framework for Efficient Hydrogen Evolution Electrocatalysis via Auxiliary Cooling Assisted Plasma Engineering. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 18:e2204634. [PMID: 36310123 DOI: 10.1002/smll.202204634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 09/30/2022] [Indexed: 06/16/2023]
Abstract
The precise facet modulation of transition metal nitrides (TMNs) has been regarded as an essential issue in boosting electrocatalytic H2 production. Compared to thermal nitridation, the plasma technique serves as a favorable alternative to directly achieve TMNs, but the apparent surface heating effect during plasma treatment inevitably causes the thermally stabilized nitride formation, resulting in the deterioration of the highly reactive facet. To optimize the hydrogen evolution reaction (HER) behavior, an auxiliary cooling assisted plasma system to selectively expose Ni3 N (2-10) with favorable activity by controlling surface heating during plasma nitridation is designed. The resultant nickel nitride (cp-Ni3 N) nano-framework delivers exceptional catalytic performance, evidenced by its low overpotential of 58 and 188 mV at the current density of 10 and 100 mA cm-2 for HER, in stark comparison with that of normal plasma and thermally fabricated Ni3 N. Operando plasma diagnostics along with numerical simulation further confirm the effect of surface heating on typical plasma parameters as well as the Ni3 N nanostructure, indicating the key factor responsible for the high-performance nitride electrocatalyst.
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Affiliation(s)
- Bo Ouyang
- MIIT Key Laboratory of Semiconductor Microstructure and Quantum Sensing, Nanjing University of Science and Technology, Nanjing, 210094, China
| | - Yongqi Zhang
- Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Xi Wang
- MIIT Key Laboratory of Semiconductor Microstructure and Quantum Sensing, Nanjing University of Science and Technology, Nanjing, 210094, China
| | - Yilin Deng
- Institute for Energy Research, Jiangsu University, Zhenjiang, 212013, China
| | - Feng Liu
- College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, 210009, China
| | - Zhi Fang
- College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, 210009, China
| | - Rajdeep Singh Rawat
- Natural Sciences and Science Education, National Institute of Education, Nanyang Technological University, Singapore, 637616, Singapore
| | - Erjun Kan
- MIIT Key Laboratory of Semiconductor Microstructure and Quantum Sensing, Nanjing University of Science and Technology, Nanjing, 210094, China
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