第二代分子纳米马达波长相关异构化量子产率的第一性原理预测

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL
Jesús Lucia-Tamudo, Michelle Menkel-Lantz, Enrico Tapavicza
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引用次数: 0

摘要

第二代分子纳米马达在生物医学领域越来越受欢迎,人们正在加紧研究以提高其光诱导超快光异构化的效率。设计高效分子纳米马达的一个关键要求是保证异构化和热螺旋反转过程中的单向旋转。本文采用基于TDDFT的非绝热轨迹表面跳跃分子动力学方法,研究了第二代feringa型分子纳米马达稳定M-和亚稳p -构象的激发态动力学。从轨迹上,我们计算了顺时针和逆时针光异构化的量子产额。结果表明,初始结构的螺旋度决定了结构的强度
本文章由计算机程序翻译,如有差异,请以英文原文为准。
First principles prediction of wavelength-dependent isomerization quantum yields of a second-generation molecular nanomotor
Second-generation molecular nanomotors are gaining popularity within the biomedical field and intense research is being conducted to increase their efficiency for light-induced ultrafast photoisomerization. A key requirement for designing efficient molecular nanomotors is ensuring unidirectional rotation during isomerization and thermal helix inversion. Here, we used non-adiabatic trajectory surface hopping molecular dynamics based on TDDFT to study the excited state dynamics of the stable M- and metastable P-conformers of a second-generation Feringa-type molecular nanomotor. From the trajectories, we computed quantum yields for clockwise and anti-clockwise photoisomerization. Results show that the helicity of the initial structure dictates the
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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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