Segmentation Driven Peeling for Visual Analysis of Electronic Transitions
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2021
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| _version_ | 1866913377127759872 |
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| author | Sharma, Mohit Masood, Talha Bin Thygesen, Signe S. Linares, Mathieu Hotz, Ingrid Natarajan, Vijay |
| author_facet | Sharma, Mohit Masood, Talha Bin Thygesen, Signe S. Linares, Mathieu Hotz, Ingrid Natarajan, Vijay |
| contents | Electronic transitions in molecules due to absorption or emission of light is a complex quantum mechanical process. Their study plays an important role in the design of novel materials. A common yet challenging task in the study is to determine the nature of those electronic transitions, i.e. which subgroups of the molecule are involved in the transition by donating or accepting electrons, followed by an investigation of the variation in the donor-acceptor behavior for different transitions or conformations of the molecules. In this paper, we present a novel approach towards the study of electronic transitions based on the visual analysis of a bivariate field, namely the electron density in the hole and particle Natural Transition Orbital (NTO). The visual analysis focuses on the continuous scatter plots (CSPs) of the bivariate field linked to their spatial domain. The method supports selections in the CSP visualized as fiber surfaces in the spatial domain, the grouping of atoms, and segmentation of the density fields to peel the CSP. This peeling operator is central to the visual analysis process and helps identify donors and acceptors. We study different molecular systems, identifying local excitation and charge transfer excitations to demonstrate the utility of the method. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2109_08987 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | Segmentation Driven Peeling for Visual Analysis of Electronic Transitions Sharma, Mohit Masood, Talha Bin Thygesen, Signe S. Linares, Mathieu Hotz, Ingrid Natarajan, Vijay Chemical Physics Human-Computer Interaction Electronic transitions in molecules due to absorption or emission of light is a complex quantum mechanical process. Their study plays an important role in the design of novel materials. A common yet challenging task in the study is to determine the nature of those electronic transitions, i.e. which subgroups of the molecule are involved in the transition by donating or accepting electrons, followed by an investigation of the variation in the donor-acceptor behavior for different transitions or conformations of the molecules. In this paper, we present a novel approach towards the study of electronic transitions based on the visual analysis of a bivariate field, namely the electron density in the hole and particle Natural Transition Orbital (NTO). The visual analysis focuses on the continuous scatter plots (CSPs) of the bivariate field linked to their spatial domain. The method supports selections in the CSP visualized as fiber surfaces in the spatial domain, the grouping of atoms, and segmentation of the density fields to peel the CSP. This peeling operator is central to the visual analysis process and helps identify donors and acceptors. We study different molecular systems, identifying local excitation and charge transfer excitations to demonstrate the utility of the method. |
| title | Segmentation Driven Peeling for Visual Analysis of Electronic Transitions |
| topic | Chemical Physics Human-Computer Interaction |
| url | https://arxiv.org/abs/2109.08987 |