Collective structural properties of embedded molecular motors in functionalized metal–organic frameworks

Literature Information

Publication Date 2021-01-26
DOI 10.1039/D0CP06263D
Impact Factor 3.676
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Abstract

Photo-responsive molecular motors incorporated in soft porous materials enable the amplification of the motion of individual motor units by employing their collective and cooperative behavior. Metal–organic frameworks (MOFs) provide in this regard, due to their structural diversity and modular assembly, a unique matrix to construct well-defined and systematically tunable molecular environments for the embedding of molecular motors. However, despite advances in the development of such photo-responsive functional materials, a thorough understanding of the governing interactions at the atomic scale has been missing so far, limiting the possibility of predicting and fully exploring the potential of these assembled machineries. Here, we present a conformational study to unravel the collective structural behavior and elucidate the impact of motor–motor interactions on the local and global properties of the scaffold. In particular, our work highlights the impact of full conversion of the embedded molecular motors on the overall network topology of the MotorMOF and thus acts as a benchmark for future studies to further explore the correlation of responsive building units with the resulting functionality of these hierarchical systems.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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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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