Machine learning assisted high-throughput screening of transition metal single atom based superb hydrogen evolution electrocatalysts. Issue 12 (22nd February 2022)
- Record Type:
- Journal Article
- Title:
- Machine learning assisted high-throughput screening of transition metal single atom based superb hydrogen evolution electrocatalysts. Issue 12 (22nd February 2022)
- Main Title:
- Machine learning assisted high-throughput screening of transition metal single atom based superb hydrogen evolution electrocatalysts
- Authors:
- Umer, Muhammad
Umer, Sohaib
Zafari, Mohammad
Ha, Miran
Anand, Rohit
Hajibabaei, Amir
Abbas, Ather
Lee, Geunsik
Kim, Kwang S. - Abstract:
- Abstract : Carbon-based transition metal (TM) single-atom catalysts (SACs) have shown great potential toward electrochemical water splitting and H2 production. Abstract : Carbon-based transition metal (TM) single-atom catalysts (SACs) have shown great potential toward electrochemical water splitting and H2 production. Given that two-dimensional (2D) materials are widely exploited for sustainable energy conversion and storage applications, the optimization of SACs with respect to diverse 2D materials is of importance. Herein, using density functional theory (DFT) and machine learning (ML) approaches, we highlight a new perspective for the rational design of TM-SACs. We have tuned the electronic properties of ∼364 rationally designed catalysts by embedding 3d/4d/5d TM single atoms in diverse substrates including g-C3 N4, π-conjugated polymer, pyridinic graphene, and hexagonal boron nitride with single and double vacancy defects each with a mono- or dual-type non-metal (B, N, and P) doped configuration. In ML analysis, we use various types of electronic, geometric and thermodynamic descriptors and demonstrate that our model identifies stable and high-performance HER electrocatalysts. From the DFT results, we found 20 highly promising candidates which exhibit excellent HER activities (|Δ G H* | ≤ 0.1 eV). Remarkably, Pd@B4, Ru@N2 C2, Pt@B2 N2, Fe@N3, Fe@P3, Mn@P4 and Fe@P4 show practically near thermo-neutral binding energies (|Δ G H* | = 0.01–0.02 eV). This work provides aAbstract : Carbon-based transition metal (TM) single-atom catalysts (SACs) have shown great potential toward electrochemical water splitting and H2 production. Abstract : Carbon-based transition metal (TM) single-atom catalysts (SACs) have shown great potential toward electrochemical water splitting and H2 production. Given that two-dimensional (2D) materials are widely exploited for sustainable energy conversion and storage applications, the optimization of SACs with respect to diverse 2D materials is of importance. Herein, using density functional theory (DFT) and machine learning (ML) approaches, we highlight a new perspective for the rational design of TM-SACs. We have tuned the electronic properties of ∼364 rationally designed catalysts by embedding 3d/4d/5d TM single atoms in diverse substrates including g-C3 N4, π-conjugated polymer, pyridinic graphene, and hexagonal boron nitride with single and double vacancy defects each with a mono- or dual-type non-metal (B, N, and P) doped configuration. In ML analysis, we use various types of electronic, geometric and thermodynamic descriptors and demonstrate that our model identifies stable and high-performance HER electrocatalysts. From the DFT results, we found 20 highly promising candidates which exhibit excellent HER activities (|Δ G H* | ≤ 0.1 eV). Remarkably, Pd@B4, Ru@N2 C2, Pt@B2 N2, Fe@N3, Fe@P3, Mn@P4 and Fe@P4 show practically near thermo-neutral binding energies (|Δ G H* | = 0.01–0.02 eV). This work provides a fundamental understanding of the rational design of efficient TM-SACs for H2 production through water-splitting. … (more)
- Is Part Of:
- Journal of materials chemistry. Volume 10:Issue 12(2022)
- Journal:
- Journal of materials chemistry
- Issue:
- Volume 10:Issue 12(2022)
- Issue Display:
- Volume 10, Issue 12 (2022)
- Year:
- 2022
- Volume:
- 10
- Issue:
- 12
- Issue Sort Value:
- 2022-0010-0012-0000
- Page Start:
- 6679
- Page End:
- 6689
- Publication Date:
- 2022-02-22
- Subjects:
- Materials -- Research -- Periodicals
Chemistry, Analytic -- Periodicals
Environmental sciences -- Research -- Periodicals
543.0284 - Journal URLs:
- http://pubs.rsc.org/en/journals/journalissues/ta ↗
http://www.rsc.org/ ↗ - DOI:
- 10.1039/d1ta09878k ↗
- Languages:
- English
- ISSNs:
- 2050-7488
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5012.205100
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 21446.xml