Towards sensitive identification of fluorinated graphdiyne configurations by computational X-ray spectroscopy

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL
Hai-Bo Li, Xiu-Neng Song, Chuankui Wang, Weijie Hua, Yong Ma
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引用次数: 0

Abstract

Fluorinated graphdiyne (F-GDY) materials exhibit exceptional performance in various applications, such as luminescent devices, electron transport, and energy conversion. Although F-GDY has been successfully synthesized, there is a lack of comprehensive identification of fluorinated configurations, either by theory or experiment. In this work, we investigated seven representative F-GDY configurations with low dopant concentrations and simulated their carbon and fluorine 1s X-ray photoelectron spectroscopy (XPS) and carbon 1s near-edge X-ray absorption fine-structure (NEXAFS) spectra. The goal was to establish the structure-spectroscopy relation for these materials. The simulated XPS spectra closely match the experimental data, providing sensitive identifications of certain fluorinated structures, although challenges still persist in distinguishing a few similar configurations. In contrast, the NEXAFS spectra, generated by three non-equivalent carbon atoms at the K-edges, offer more detailed information and are more sensitive for identifying all different F-GDY structures. Our theoretical study provides valuable insights for future experimental identification of F-GDY structures. These findings underscore the utility of computational X-ray spectroscopy in advancing the understanding and development of novel carbon-based materials.
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来源期刊
Physical Chemistry Chemical Physics
Physical Chemistry Chemical Physics 化学-物理:原子、分子和化学物理
CiteScore
5.50
自引率
9.10%
发文量
2675
审稿时长
2.0 months
期刊介绍: Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.
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