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High-throughput Quantum Chemistry and Virtual Screening for OLED Material Components

机译:OLED材料组分的高通量量子化学和虚拟筛选

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Computational structure enumeration, analysis using an automated simulation workflow and filtering of large chemical structure libraries to identify lead systems, has become a central paradigm in drug discovery research. Transferring this paradigm to challenges in materials science is now possible due to advances in the speed of computational resources and the efficiency and stability of chemical simulation packages. State-of-the-art software tools that have been developed for drug discovery can be applied to efficiently explore the chemical design space to identify solutions for problems such as organic light-emitting diode material components. In this work, virtual screening for OLED materials based on intrinsic quantum mechanical properties is illustrated. Also, a new approach to more reliably identify candidate systems is introduced that is based on the chemical reaction energetics of defect pathways for OLED materials.
机译:计算结构枚举,使用自动模拟工作流程和大型化学结构库的滤波来识别铅系统,已成为药物发现研究中的核心范式。由于计算资源速度和化学模拟包装的效率和稳定性,现在可以将此范例转移到材料科学的挑战。可以应用已经开发用于药物发现的最先进的软件工具,以便有效地探索化学设计空间以确定有机发光二极管材料部件等问题的解决方案。在这项工作中,示出了基于固有量子力学性能的OLED材料的虚拟筛选。此外,引入了一种更可靠地识别候选系统的新方法,其基于OLED材料的缺陷途径的化学反应能量。

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