Accurate structural descriptor enabled screening for nitrogen and oxygen vacancy codoped TiO2 with a large bandgap narrowing. (20th September 2022)
- Record Type:
- Journal Article
- Title:
- Accurate structural descriptor enabled screening for nitrogen and oxygen vacancy codoped TiO2 with a large bandgap narrowing. (20th September 2022)
- Main Title:
- Accurate structural descriptor enabled screening for nitrogen and oxygen vacancy codoped TiO2 with a large bandgap narrowing
- Authors:
- Zhang, Kangyu
Yin, Lichang
Liu, Gang
Cheng, Hui-Ming - Abstract:
- Highlights: An accurate structural descriptor to represent the doping configurations of N/VO -codoped anatase TiO2 is constructed. Machine learning assisted electronic properties screening for the optimal doping configurations is enabled by the structural descriptor. Two types of doping configurations featured by a linear and corner-sharing TiO5 N1 /TiO4 N2 octahedron chain with a large bandgap narrowing are identified. The spatial ordering of N-dopants has been uncovered as the intrinsic reason for a large bandgap narrowing in N/VO -codoped TiO2 . Abstract: Nitrogen (N) doping has been widely adopted to improve the light absorption of TiO2 . However, the newly introduced N-2 p states are largely localized thus barely overlap with O-2 p states in the valence band of TiO2, resulting in a shoulder-like absorption edge. To realize an apparent overlap between N-2 p and O-2 p states, charge compensation between N 3− and O 2− via electron transfer from oxygen vacancies (VO ) to N dopants is one possible strategy. To verify this, in numerous doping configurations of N/VO -codoped anatase TiO2, we identified two types of VO position independent N-dopant spatial orderings by efficient screening enabled with a newly designed structural descriptor. Compared with others, these two types of the N-dopant spatial orderings are highly beneficial for charge compensation to produce an apparent overlap between N-2 p and O-2 p states, therefore achieving a large bandgap narrowing. Furthermore,Highlights: An accurate structural descriptor to represent the doping configurations of N/VO -codoped anatase TiO2 is constructed. Machine learning assisted electronic properties screening for the optimal doping configurations is enabled by the structural descriptor. Two types of doping configurations featured by a linear and corner-sharing TiO5 N1 /TiO4 N2 octahedron chain with a large bandgap narrowing are identified. The spatial ordering of N-dopants has been uncovered as the intrinsic reason for a large bandgap narrowing in N/VO -codoped TiO2 . Abstract: Nitrogen (N) doping has been widely adopted to improve the light absorption of TiO2 . However, the newly introduced N-2 p states are largely localized thus barely overlap with O-2 p states in the valence band of TiO2, resulting in a shoulder-like absorption edge. To realize an apparent overlap between N-2 p and O-2 p states, charge compensation between N 3− and O 2− via electron transfer from oxygen vacancies (VO ) to N dopants is one possible strategy. To verify this, in numerous doping configurations of N/VO -codoped anatase TiO2, we identified two types of VO position independent N-dopant spatial orderings by efficient screening enabled with a newly designed structural descriptor. Compared with others, these two types of the N-dopant spatial orderings are highly beneficial for charge compensation to produce an apparent overlap between N-2 p and O-2 p states, therefore achieving a large bandgap narrowing. Furthermore, the two types of the N-dopant spatial orderings can also be generalized to N/VO -codoped rutile TiO2 for bandgap narrowing. … (more)
- Is Part Of:
- Journal of materials science & technology. Volume 122(2022)
- Journal:
- Journal of materials science & technology
- Issue:
- Volume 122(2022)
- Issue Display:
- Volume 122, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 122
- Issue:
- 2022
- Issue Sort Value:
- 2022-0122-2022-0000
- Page Start:
- 84
- Page End:
- 90
- Publication Date:
- 2022-09-20
- Subjects:
- Structural descriptor -- TiO2 -- Bandgap narrowing -- Doping -- Machine learning -- Density functional theory
Metals -- Periodicals
Materials science -- Periodicals
Materials science
Metals
Periodicals
620.1105 - Journal URLs:
- http://www.jmst.org/EN/volumn/home.shtml ↗
http://www.sciencedirect.com/science/journal/10050302 ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.jmst.2021.12.062 ↗
- Languages:
- English
- ISSNs:
- 1005-0302
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21579.xml