C-Photo: Computational photochemistry and in silico design of MOST systems

C-Photo：计算光化学和 MOST 系统的计算机设计

• 批准号: 517844450
• 负责人: Professor Dr. Andreas Dreuw
• 金额: --
• 依托单位: Chair of Theoretical and Computational Chemistry
• 依托单位国家: 德国
• 项目类别: Research Units
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/517844450?language=en
• 关键词: Photo; Computational; photochemistry; silico; design

The utilization of solar energy is the most promising pathway to cover the energy demands of our modern society. A largely unexplored concept is in this context the molecular solar thermal (MOST) energy conversion process, which releases heat through photochemically triggered chemical transformations on demand. In the proposed research unit FOR MOST, this concept is to be explored from a fundamental research point of view in concert of synthesis, spectroscopy, theory and application. This proposal covers the theoretical part with emphasis on the photochemical and spectroscopical aspects. In detail, genetic algorithms and machine learning approaches will be used to explore the vast chemical space of different MOST systems by pre-screening for the most promising MOST molecules, so-called mostophores. Further detailed quantum chemical investigations using our self-developed excited-state methods but also all other available theoretical tools complement the efforts. The “best” candidates will then be synthesized and spectroscopically investigated with focus on optimal MOST properties, for example, a high energy-to-mass ratio, favorable overlap with the solar spectrum and appropriate storage times together with the other FOR MOST partners. Within this project, we will investigate in detail the photochemical switching mechanisms into the storage state of coupled azobenzenes, azaborines and norbornadiene as well as of hybrid systems. We will thereby help to design novel mostophores by a priori in silico design, by straightforward derivatization as well as by exploitation of molecular interactions for the stabilization of the storage state. A further important contribution of this project is the simulation of optical spectra of the mostophores in their molecular environments to guide the interpretation of static and time-resolved experimental spectra using our self-developed quantum chemical methodology and environment models. Along the same lines, we will investigate the possibility of oxidative and/or reductive switching of the mostophores, i.e. by electron detachment and attachment. The switching mechanisms will be computed and electronic spectra of the intermediates will be simulated to guide experimental investigations. The theoretical efforts undertaken in this project are thus well embedded into the FOR MOST research unit and will contribute substantially the collaborative projects.

利用太阳能是满足现代社会能源需求最有希望的途径。在此背景下，一个很大程度上尚未开发的概念是分子太阳能热（MOST）能量转换过程，该过程通过光化学触发的化学转化释放热量。在提议的研究单位FOR MOST中，这一概念将从合成，光谱学，理论和应用的基础研究角度进行探索。这一建议涵盖了理论部分，重点是光化学和光谱方面。具体来说，遗传算法和机器学习方法将被用于探索不同MOST系统的巨大化学空间，通过预先筛选最有希望的MOST分子，即所谓的MOST分子。进一步详细的量子化学研究使用我们自己开发的激发态方法，以及所有其他可用的理论工具补充的努力。然后将对“最佳”候选材料进行合成和光谱研究，重点关注最佳的MOST特性，例如高能量质量比，与太阳光谱有利的重叠以及与其他for MOST伙伴一起适当的存储时间。在本项目中，我们将详细研究偶氮苯、氮杂氮和降冰片二烯偶氮化合物以及杂化体系的光化学转换机制。因此，我们将通过先验的硅设计，直接衍生化以及利用分子相互作用来稳定存储状态来帮助设计新的大多数载体。本项目的另一个重要贡献是在其分子环境中模拟最孢子的光谱，以指导使用我们自行开发的量子化学方法和环境模型解释静态和时间分辨实验光谱。沿着同样的思路，我们将研究氧化和/或还原性开关的可能性，即通过电子分离和附着。将计算开关机制，并模拟中间体的电子谱以指导实验研究。因此，在这个项目中进行的理论工作很好地融入了FOR MOST研究单元，并将对合作项目做出重大贡献。