Hyperfast Rotors, Light-Driven Motors and Fast Scintillators in Metal–organic Frameworks

A. Comotti,S. Bracco,J. Perego,C. X. Bezuidenhout, S. Piva,A. Daolio,P. Sozzani

Acta Crystallographica Section A Foundations and Advances（2023）

Cited 0|Views3

Abstract

Rotors, motors and switches in the solid state find a favorable playground in porous materials, especially in porous frameworks, thanks to their large free volume, which allows for fast dynamics.We have realized a fast molecular rotor in a Zn-MOF whose rotation speed approaches that of unhindered rotations in organic moieties even at 2 K.[1,2] The three-fold bipyramidal symmetry of the rotator conflicting with the four-fold symmetry of the strut frustrates the formation of stable conformations and allows for the hyperfast rotation of the rotator persistent for several continuous turns, with an energy barrier of 6.2 calmol -1 and a high frequency of 10 10 Hz at 2K (Fig. 1A).Geared molecular rotors with negligible energy-requirements in MOFs enabled fast yet controllable and correlated rotary motion.[3]The rotors inserted in a MOF exhibited fast motion (10 7 Hz), even at extremely cold temperatures and explored multiple configurations of conrotary/disrotary relationships, switched on and off by thermal energy.Chemical stimuli such as CO2 diffused through the open pores changed dramatically the rotation mechanism and rotor speed.

Translated text

求助PDF

上传PDF

Bibtex

AI Read Science

AI Summary

AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.

Example

Background

Key content

Introduction

Methods

Results

Related work

Fund

Key content

Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

Upload PDF to Generate Summary

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper

Data Disclaimer

The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn

Chat Paper

【要点】：本文报道了在金属-有机框架（MOFs）中实现的高速分子转子、光驱动电机以及快速闪烁体，重点介绍了一种在低温下仍能实现超快旋转的Zn-MOF分子转子。

【方法】：作者利用MOFs的大自由体积特性，实现了一种具有三重双锥对称性的分子转子，该转子的旋转速度接近有机分子中无阻碍旋转的速度。

【实验】：在2K的温度下，实验在Zn-MOF中实现了一个能量障碍为6.2 cal/mol，频率高达10^10 Hz的超快分子转子。同时，实验还展示了通过MOFs中的转子进行可控且相关的旋转运动，并研究了化学刺激（如CO2）对旋转机制和速度的影响。文中未提及具体的数据集名称。