AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (12.1 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Torque-controlled stochastic switching in single-molecule devices

Xinyue Chang1,§Xiao Wei1,§Cong Zhao1Yingbo Tang1Jie Guo1 ( )Ping Duan2 ( )Jinying Wang1 ( )Chuancheng Jia1 ( )Xuefeng Guo1,3
Center of Single-Molecule Sciences, Institute of Modern Optics, Frontiers Science Center for New Organic Matter, Tianjin Key Laboratory of Micro-Scale Optical Information Science and Technology, College of Electronic Information and Optical Engineering, Nankai University, 38 Tongyan Road, Jinnan District, Tianjin 300350, China
College of Chemistry and Chemical Engineering, Key Laboratory for Preparation and Application of Ordered Structural Materials of Guangdong Province, Shantou University, 243 Daxue Road, Shantou 515063, China
Beijing National Laboratory for Molecular Sciences, National Biomedical Imaging Center, College of Chemistry and Molecular Engineering, Peking University, 292 Chengfu Road, Haidian District, Beijing 100871, China

§ Xinyue Chang and Xiao Wei contributed equally to this work.

Show Author Information

Abstract

Probabilistic switching devices, as an emerging class of electronic components enabling stochastic transitions between binary states, offer unique prospects for stochastic computing tasks including true random number generation, Monte Carlo simulation, and Bayesian inference. In this study, leveraging the inherent Boltzmann-distributed output of molecular devices at thermal equilibrium and their high sensitivity to external fields, a torque-controlled single-molecule stochastic switch is demonstrated at room temperature. This device comprises an aminoalkyl-functionalized zinc complex with an orthogonal dipole moment, which is covalently bridged between graphene electrodes. Through synergistic coupling of molecular dipole with an external electric field, an asymmetric torque is induced, driving controlled conformational changes under steric confinement and enabling programmable stochastic switching between high- and low-conductance states. The output probability is precisely tunable via bias voltage modulation, exhibiting the characteristic sigmoidal response of probabilistic devices. Furthermore, temperature-dependent experiments map the free-energy landscape of the molecular probabilistic switch. This insight facilitates the rational design of stable and controllable probabilistic devices working under ambient conditions.

Graphical Abstract

This work reports a torque-controlled single-molecule stochastic switch, realized by covalently anchoring an aminoalkyl-functionalized zinc pyridine complex within a graphene nanogap to form a stable single-molecule junction device. By coupling an external electric field with the dipole moments of the two steady states of the molecular junction, a directional asymmetric torque is generated, enabling precise regulation of the stochastic two-state conductance signals by bias voltage and temperature at the molecular scale.

Electronic Supplementary Material

Download File(s)
8768_ESM.pdf (8.1 MB)

References

【1】
【1】
 
 
Nano Research
Article number: 94908768

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Chang X, Wei X, Zhao C, et al. Torque-controlled stochastic switching in single-molecule devices. Nano Research, 2026, 19(6): 94908768. https://doi.org/10.26599/NR.2026.94908768
Topics:

981

Views

147

Downloads

0

Crossref

0

Web of Science

0

Scopus

0

CSCD

Received: 03 March 2026
Revised: 16 April 2026
Accepted: 24 April 2026
Published: 06 May 2026
© The Author(s) 2026. Published by Tsinghua University Press.

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).