2024
DOI: 10.1063/5.0189271
|View full text |Cite
|
Sign up to set email alerts
|

Revealing the role of high-valence elementary substitution in the hydrogen-induced Mottronic transitions of vanadium dioxide

Xuanchi Zhou,
Yanlong Shang,
Zhijie Gu
et al.

Abstract: Electron-doping Mottronics within correlated vanadium dioxide (e.g., VO2) opens up a paradigm to abruptly regulate the Mottronic phase transitions via adjusting the d-orbital occupancy and configuration. Nevertheless, the potential impact of high-valence elementary substitution in the hydrogen-associated Mottronic transitions of VO2 is yet unclear. Herein, we demonstrate the role of high-valence elementary substitution (e.g., W6+) in regulating the hydrogen-triggered Mottronic transitions of VO2, assisted by q… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 32 publications
0
2
0
Order By: Relevance
“…As one of the most intensively studied strongly correlated oxides, VO 2 is featured by an abrupt metal–insulator transition (MIT) near room temperature (∼340 K), which is accompanied by a monoclinic-to-rutile structural change. , Such a MIT makes VO 2 very attractive for a vast variety of potential applications such as ultrafast switches, smart windows, infrared imaging, Mottronics, and memristors. In addition, notable is that the strong coupling among lattice, charge, spin, and orbital degrees of freedom provides additional knobs for manipulating its intrinsic properties and seeking new conceptual devices, through external stimuli including strain, electric and optical fields. For instance, both the electrically driven and photoinduced MITs in VO 2 have been demonstrated to be fascinating ways to achieve neuromorphic computing for overcoming the limitations of von Neumann architectures. , In addition, huge piezoresistive response which is an order of magnitude larger than that of silicon was observed in the VO 2 nanomembrane, opening the door to the ultrasensitive, low-power-dissipation tactile sensors …”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…As one of the most intensively studied strongly correlated oxides, VO 2 is featured by an abrupt metal–insulator transition (MIT) near room temperature (∼340 K), which is accompanied by a monoclinic-to-rutile structural change. , Such a MIT makes VO 2 very attractive for a vast variety of potential applications such as ultrafast switches, smart windows, infrared imaging, Mottronics, and memristors. In addition, notable is that the strong coupling among lattice, charge, spin, and orbital degrees of freedom provides additional knobs for manipulating its intrinsic properties and seeking new conceptual devices, through external stimuli including strain, electric and optical fields. For instance, both the electrically driven and photoinduced MITs in VO 2 have been demonstrated to be fascinating ways to achieve neuromorphic computing for overcoming the limitations of von Neumann architectures. , In addition, huge piezoresistive response which is an order of magnitude larger than that of silicon was observed in the VO 2 nanomembrane, opening the door to the ultrasensitive, low-power-dissipation tactile sensors …”
Section: Introductionmentioning
confidence: 99%
“… 1 , 2 Such a MIT makes VO 2 very attractive for a vast variety of potential applications such as ultrafast switches, smart windows, infrared imaging, Mottronics, and memristors. 3 6 In addition, notable is that the strong coupling among lattice, charge, spin, and orbital degrees of freedom provides additional knobs for manipulating its intrinsic properties and seeking new conceptual devices, through external stimuli including strain, electric and optical fields. 7 10 For instance, both the electrically driven and photoinduced MITs in VO 2 have been demonstrated to be fascinating ways to achieve neuromorphic computing for overcoming the limitations of von Neumann architectures.…”
Section: Introductionmentioning
confidence: 99%