A universal descriptor based on pz-orbitals for the catalytic activity of multi-doped carbon bifunctional catalysts for oxygen reduction and evolution. Issue 37 (18th September 2020)
- Record Type:
- Journal Article
- Title:
- A universal descriptor based on pz-orbitals for the catalytic activity of multi-doped carbon bifunctional catalysts for oxygen reduction and evolution. Issue 37 (18th September 2020)
- Main Title:
- A universal descriptor based on pz-orbitals for the catalytic activity of multi-doped carbon bifunctional catalysts for oxygen reduction and evolution
- Authors:
- Ma, Jiameng
Zhi, Qiuming
Gong, Lele
Shen, Yang
Sun, Defeng
Guo, Yongjian
Zhang, Lipeng
Xia, Zhenhai - Abstract:
- Abstract : An established descriptor Φ can be used to screen and predict highly efficient catalysts based on tuned graphene for the ORR/OER. Abstract : Dual-/multi-heteroatom-doped carbon nanomaterials have been demonstrated to be effective bi-/multi-functional catalysts for the oxygen reduction reaction (ORR) and the oxygen evolution reaction (OER), the critical reactions in fuel cells and metal–air batteries, respectively. However, trial-and-error routes are usually used to search for better catalysts from multi-doped complex material systems, and establishing design principles or intrinsic descriptors would accelerate the discovery of new efficient catalysts. Here, a descriptor based on p z -orbitals of active sites is proposed to describe the catalytic performance of dual-/tri-element-doped graphene catalysts for the ORR and the OER. In addition to multiple doping, the established descriptor is universal in nature and can also predict the contributions of defects and edges or their combinations. The prediction capacity of the descriptor is further enhanced by introducing a correction factor based on crystal orbital Hamilton population (COHP) analysis, which reveals the differences between the adsorption mechanism of edged C and graphitic C on graphene. The predictions are consistent with DFT calculations and experimental results. This work provides a powerful tool for rapidly screening multi-doped complex material systems for the desired ORR and OER bifunctionalAbstract : An established descriptor Φ can be used to screen and predict highly efficient catalysts based on tuned graphene for the ORR/OER. Abstract : Dual-/multi-heteroatom-doped carbon nanomaterials have been demonstrated to be effective bi-/multi-functional catalysts for the oxygen reduction reaction (ORR) and the oxygen evolution reaction (OER), the critical reactions in fuel cells and metal–air batteries, respectively. However, trial-and-error routes are usually used to search for better catalysts from multi-doped complex material systems, and establishing design principles or intrinsic descriptors would accelerate the discovery of new efficient catalysts. Here, a descriptor based on p z -orbitals of active sites is proposed to describe the catalytic performance of dual-/tri-element-doped graphene catalysts for the ORR and the OER. In addition to multiple doping, the established descriptor is universal in nature and can also predict the contributions of defects and edges or their combinations. The prediction capacity of the descriptor is further enhanced by introducing a correction factor based on crystal orbital Hamilton population (COHP) analysis, which reveals the differences between the adsorption mechanism of edged C and graphitic C on graphene. The predictions are consistent with DFT calculations and experimental results. This work provides a powerful tool for rapidly screening multi-doped complex material systems for the desired ORR and OER bifunctional catalysts. … (more)
- Is Part Of:
- Nanoscale. Volume 12:Issue 37(2020)
- Journal:
- Nanoscale
- Issue:
- Volume 12:Issue 37(2020)
- Issue Display:
- Volume 12, Issue 37 (2020)
- Year:
- 2020
- Volume:
- 12
- Issue:
- 37
- Issue Sort Value:
- 2020-0012-0037-0000
- Page Start:
- 19375
- Page End:
- 19382
- Publication Date:
- 2020-09-18
- Subjects:
- Nanoscience -- Periodicals
Nanotechnology -- Periodicals
620.505 - Journal URLs:
- http://www.rsc.org/Publishing/Journals/NR/Index.asp ↗
http://www.rsc.org/ ↗ - DOI:
- 10.1039/d0nr03521a ↗
- Languages:
- English
- ISSNs:
- 2040-3364
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9830.266000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 14389.xml