Electronic, Optical, Mechanical and Li-Ion Storage Properties of Novel Benzotrithiophene-Based Graphdiyne Monolayers Explored by First Principles and Machine Learning
Recently, benzotrithiophene graphdiyne (BTT-GDY), a novel two-dimensional (2D) carbon-based material, was grown via a bottom-up synthesis strategy. Using the BTT-GDY lattice and by replacing the S atoms with N, NH and O, we designed three novel GDY lattices, which we named BTHP-, BTP- and BTF-GDY, r...
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MDPI AG
2022-10-01
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| author | Bohayra Mortazavi Fazel Shojaei Masoud Shahrokhi Timon Rabczuk Alexander V. Shapeev Xiaoying Zhuang |
| author_facet | Bohayra Mortazavi Fazel Shojaei Masoud Shahrokhi Timon Rabczuk Alexander V. Shapeev Xiaoying Zhuang |
| author_sort | Bohayra Mortazavi |
| collection | DOAJ |
| description | Recently, benzotrithiophene graphdiyne (BTT-GDY), a novel two-dimensional (2D) carbon-based material, was grown via a bottom-up synthesis strategy. Using the BTT-GDY lattice and by replacing the S atoms with N, NH and O, we designed three novel GDY lattices, which we named BTHP-, BTP- and BTF-GDY, respectively. Next, we explored structural, electronic, mechanical, optical, photocatalytic and Li-ion storage properties, as well as carrier mobilities, of novel GDY monolayers. Phonon dispersion relations, mechanical and failure behavior were explored using the machine learning interatomic potentials (MLIPs). The obtained HSE06 results reveal that BTX-GDYs (X = P, F, T) are direct gap semiconductors with band gaps in the range of 2.49–2.65 eV, whereas the BTHP-GDY shows a narrow indirect band gap of 0.06 eV. With appropriate band offsets, good carrier mobilities and a strong capability for the absorption of visible and ultraviolet range of light, BTF- and BTT-GDYs were predicted to be promising candidates for overall photocatalytic water splitting. The BTHP-GDY nanosheet, noticeably, was found to yield an ultrahigh Li-ion storage capacity of over 2400 mAh/g. The obtained findings provide a comprehensive vision of the critical physical properties of the novel BTT-based GDY nanosheets and highlight their potential for applications in nanoelectronics and energy storage and conversion systems. |
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| issn | 2313-0105 |
| language | English |
| last_indexed | 2024-03-09T20:41:38Z |
| publishDate | 2022-10-01 |
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| spelling | doaj.art-2ddcb87939ac42789666cd58c29dbac92023-11-23T22:55:39ZengMDPI AGBatteries2313-01052022-10-0181019410.3390/batteries8100194Electronic, Optical, Mechanical and Li-Ion Storage Properties of Novel Benzotrithiophene-Based Graphdiyne Monolayers Explored by First Principles and Machine LearningBohayra Mortazavi0Fazel Shojaei1Masoud Shahrokhi2Timon Rabczuk3Alexander V. Shapeev4Xiaoying Zhuang5Department of Mathematics and Physics, Leibniz Universität Hannover, Appelstraße 11, 30167 Hannover, GermanyDepartment of Chemistry, Faculty of Nano and Bioscience and Technology, Persian Gulf University, Bushehr 75169, IranIndependent Researcher, 69007 Lyon, FranceDepartment of Geotechnical Engineering, College of Civil Engineering, Tongji University, 1239 Siping Road, Shanghai 200070, ChinaSkolkovo Institute of Science and Technology, Skolkovo Innovation Center, Bolshoy Bulvar, 30, Moscow 143026, RussiaDepartment of Mathematics and Physics, Leibniz Universität Hannover, Appelstraße 11, 30167 Hannover, GermanyRecently, benzotrithiophene graphdiyne (BTT-GDY), a novel two-dimensional (2D) carbon-based material, was grown via a bottom-up synthesis strategy. Using the BTT-GDY lattice and by replacing the S atoms with N, NH and O, we designed three novel GDY lattices, which we named BTHP-, BTP- and BTF-GDY, respectively. Next, we explored structural, electronic, mechanical, optical, photocatalytic and Li-ion storage properties, as well as carrier mobilities, of novel GDY monolayers. Phonon dispersion relations, mechanical and failure behavior were explored using the machine learning interatomic potentials (MLIPs). The obtained HSE06 results reveal that BTX-GDYs (X = P, F, T) are direct gap semiconductors with band gaps in the range of 2.49–2.65 eV, whereas the BTHP-GDY shows a narrow indirect band gap of 0.06 eV. With appropriate band offsets, good carrier mobilities and a strong capability for the absorption of visible and ultraviolet range of light, BTF- and BTT-GDYs were predicted to be promising candidates for overall photocatalytic water splitting. The BTHP-GDY nanosheet, noticeably, was found to yield an ultrahigh Li-ion storage capacity of over 2400 mAh/g. The obtained findings provide a comprehensive vision of the critical physical properties of the novel BTT-based GDY nanosheets and highlight their potential for applications in nanoelectronics and energy storage and conversion systems.https://www.mdpi.com/2313-0105/8/10/194graphdiynesemiconductorsmechanicalopticalmachine learning |
| spellingShingle | Bohayra Mortazavi Fazel Shojaei Masoud Shahrokhi Timon Rabczuk Alexander V. Shapeev Xiaoying Zhuang Electronic, Optical, Mechanical and Li-Ion Storage Properties of Novel Benzotrithiophene-Based Graphdiyne Monolayers Explored by First Principles and Machine Learning Batteries graphdiyne semiconductors mechanical optical machine learning |
| title | Electronic, Optical, Mechanical and Li-Ion Storage Properties of Novel Benzotrithiophene-Based Graphdiyne Monolayers Explored by First Principles and Machine Learning |
| title_full | Electronic, Optical, Mechanical and Li-Ion Storage Properties of Novel Benzotrithiophene-Based Graphdiyne Monolayers Explored by First Principles and Machine Learning |
| title_fullStr | Electronic, Optical, Mechanical and Li-Ion Storage Properties of Novel Benzotrithiophene-Based Graphdiyne Monolayers Explored by First Principles and Machine Learning |
| title_full_unstemmed | Electronic, Optical, Mechanical and Li-Ion Storage Properties of Novel Benzotrithiophene-Based Graphdiyne Monolayers Explored by First Principles and Machine Learning |
| title_short | Electronic, Optical, Mechanical and Li-Ion Storage Properties of Novel Benzotrithiophene-Based Graphdiyne Monolayers Explored by First Principles and Machine Learning |
| title_sort | electronic optical mechanical and li ion storage properties of novel benzotrithiophene based graphdiyne monolayers explored by first principles and machine learning |
| topic | graphdiyne semiconductors mechanical optical machine learning |
| url | https://www.mdpi.com/2313-0105/8/10/194 |
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