3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Molecular doped, color-tunable, high-mobility, emissive, organic semiconductors for light-emitting transistors

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Developing high-mobility emissive organic semiconductors with tunable colors is crucial for organic light-emitting transistors (OLETs), a pivotal component of integrated optoelectronic devices, but remains a great challenge. Here, we demonstrate a series of color-tunable, high-mobility, emissive, organic semiconductors via molecular doping with a high-mobility organic semiconductor, 2,6-diphenylanthracene, as the host. The well-matched molecular structures and sizes with efficient energy transfer between the host and guest enable the intrinsically high charge transport with tunable colors. High mobility with the highest value >2 cm 2 V −1 s −1 and strong emission with photoluminescence quantum yield >15.8% are obtained for these molecular-doped organic semiconductors. Last, a large color gamut for constructed OLETs is up to 59% National Television System Committee standard, meanwhile with an extremely high current density approaching 326.4 kA cm −2, showing great potential for full-color smart display, organic electrically pumped lasers and other related logic circuitries.

          Abstract

          Abstract

          Color-tunable, high-mobility, emissive, organic single crystals and their light-emitting transistors are demonstrated.

          Related collections

          Most cited references60

          • Record: found
          • Abstract: found
          • Article: not found

          Multiwfn: a multifunctional wavefunction analyzer.

          Multiwfn is a multifunctional program for wavefunction analysis. Its main functions are: (1) Calculating and visualizing real space function, such as electrostatic potential and electron localization function at point, in a line, in a plane or in a spatial scope. (2) Population analysis. (3) Bond order analysis. (4) Orbital composition analysis. (5) Plot density-of-states and spectrum. (6) Topology analysis for electron density. Some other useful utilities involved in quantum chemistry studies are also provided. The built-in graph module enables the results of wavefunction analysis to be plotted directly or exported to high-quality graphic file. The program interface is very user-friendly and suitable for both research and teaching purpose. The code of Multiwfn is substantially optimized and parallelized. Its efficiency is demonstrated to be significantly higher than related programs with the same functions. Five practical examples involving a wide variety of systems and analysis methods are given to illustrate the usefulness of Multiwfn. The program is free of charge and open-source. Its precompiled file and source codes are available from http://multiwfn.codeplex.com. Copyright © 2011 Wiley Periodicals, Inc.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Properties and potential optoelectronic applications of lead halide perovskite nanocrystals

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Quantitative analysis of molecular surface based on improved Marching Tetrahedra algorithm.

              Quantitative analysis of molecular surface is a valuable technique for analyzing non-covalent interaction, studying molecular recognition mode, predicting reactive site and reactivity. An efficient way to realize the analysis was first proposed by Bulat et al. (J. Mol. Model., 16, 1679), in which Marching Tetrahedra (MT) approach commonly used in computer graphics is employed to generate vertices on molecular surface. However, it has been found that the computations of the electrostatic potential in the MT vertices are very expensive and some artificial surface extremes will be presented due to the uneven distribution of MT vertices. In this article, we propose a simple and reliable method to eliminate these unreasonably distributed surface vertices generated in the original MT. This treatment can save more than 60% of total analysis time of electrostatic potential, yet the loss in accuracy is almost negligible. The artificial surface extremes are also largely avoided as a byproduct of this algorithm. In addition, the bisection iteration procedure has been exploited to improve accuracy of linear interpolation in MT. The most appropriate grid spacing for surface analysis has also been investigated. 0.25 and 0.20 bohr are recommended to be used for surface analysis of electrostatic potential and average local ionization energy, respectively.
                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: VisualizationRole: Writing - review & editing
                Role: SoftwareRole: Visualization
                Role: Visualization
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Methodology
                Journal
                Sci Adv
                Sci Adv
                sciadv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                July 2022
                08 July 2022
                : 8
                : 27
                : eabp8775
                Affiliations
                [1 ]Beijing National Laboratory for Molecular Sciences, Key Laboratory of Organic Solids, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.
                [2 ]School of Chemical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
                [3 ]Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Science, Tianjin University, Tianjin 300072, China.
                [4 ]Haihe Laboratory of Sustainable Chemical Transformations, Tianjin 300192, China.
                Author notes
                [* ]Corresponding author. Email: dhl522@ 123456iccas.ac.cn
                Author information
                https://orcid.org/0000-0002-4135-0539
                https://orcid.org/0000-0002-2274-0398
                https://orcid.org/0000-0002-5698-5369
                https://orcid.org/0000-0001-5686-2740
                Article
                abp8775
                10.1126/sciadv.abp8775
                9269892
                35857474
                51bd7c4c-14b8-411b-ad6b-8a292d5c1d8c
                Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

                History
                : 03 March 2022
                : 25 May 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 51725304
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 61890943
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 22021002
                Funded by: FundRef http://dx.doi.org/10.13039/501100008804, Ministry of Science and Technology, Government of the People’s Republic of Bangladesh;
                Award ID: 2017YFA0204503
                Funded by: FundRef http://dx.doi.org/10.13039/501100008804, Ministry of Science and Technology, Government of the People’s Republic of Bangladesh;
                Award ID: 2018YFA0703200
                Funded by: Key Research Program of the Chinese Academy of Sciences;
                Award ID: XDPB13
                Funded by: Youth Innovation Promotion Association of the Chinese Academy of Sciences, the National Program for Support of Top-notch Young Professionals, Beijing National Laboratory for Molecular Sciences;
                Award ID: BNLMS-CXXM-202012
                Categories
                Research Article
                Physical and Materials Sciences
                SciAdv r-articles
                Chemical Physics
                Chemistry
                Chemical Physics
                Custom metadata
                Vivian Hernandez

                Comments

                Comment on this article