Accurate recognition of low-contrast targets in complex visual environments is essential for advanced intelligent machine vision systems.Conventional photodetectors often suffer from a weak photoresponse and a linear ...Accurate recognition of low-contrast targets in complex visual environments is essential for advanced intelligent machine vision systems.Conventional photodetectors often suffer from a weak photoresponse and a linear dependence of photocurrent on light intensity,which restricts their ability to capture low-contrast features and makes them susceptible to noise.Inspired by the adaptive mechanisms of the human visual system,we present a molybdenum disulfide(MoS_(2))phototransistor with tunable sensitivity,in which the gate stack incorporates a heterostructure diode—composed of O-plasma-treated MoS_(2) and pristine MoS_(2)—that serves as the photosensitive layer.This configuration enables light-intensity-dependent modulation of the diode’s conductance,which dynamically in turn alters the voltage distribution across the gate dielectric and transistor channel,leading to a significant photoresponse.By modulating the gate voltage,the light response range can be finely tuned,maintaining high sensitivity to low-contrast targets while suppressing noise interference.Compared to conventional photodetectors,the proposed device achieves a 1000-fold improvement in sensitivity for low-contrast signal detection and exhibits significantly enhanced noise immunity.The intelligent machine vision system built on this device demonstrates exceptional performance in detecting low-contrast targets,underscoring its promise for next-generation machine vision applications.展开更多
The controlled migration of ions in biological systems has inspired the development of ion-based electronics.Ionic diodes,leveraging ions as charge carriers,offer selective control over ion flux,mimicking ion-selectiv...The controlled migration of ions in biological systems has inspired the development of ion-based electronics.Ionic diodes,leveraging ions as charge carriers,offer selective control over ion flux,mimicking ion-selective behavior observed in biological systems.Conventional ionic diodes containing fluids encounter challenges in adapting to biological systems due to their limited stretchability and stability.Recent advancements in solid-state ionic diodes based on stretchable gels enable tissue-like stretchability while maintaining diode-like performance.However,their relatively low rectification ratio hinders their electrical performance,necessitating effective strategies to enhance the rectification effect of stretchable ionic diodes.Here,we propose a method to enhance the rectification effect of hydrogel-based stretchable ionic diodes by incorporating high-valence cations into the P-type hydrogel layer.Through neutralization reactions,cations with valences of 1,2,and 3 were introduced to replace original hydrogen ions in the hydrogel,resulting in a substantial increase in the rectification ratio from 3 to over 70,with an elevated rectification ratio(140)under 100%strain.The enhanced rectification effect enables applications in iontronics,such as ionic rectifiers and bipolar junction transistors(BJTs).This study,for the first time,highlights the potential of improving electrical performances of iontronics through the manipulation of different ion properties.展开更多
Ultrafast temperature field detection and identification is crucial for applications ranging from environmental sensing and biomedical monitoring to thermal management in advanced energy systems.Conventional temperatu...Ultrafast temperature field detection and identification is crucial for applications ranging from environmental sensing and biomedical monitoring to thermal management in advanced energy systems.Conventional temperature sensors—comprising discrete sensing arrays,data storage units,and external processors—suffer from high latency due to slow sensor response,repeated analog-to-digital conversions,and extensive data transmission inherent to von Neumann architectures.Here,we report a diamond array-based quantum sensor that integrates temperature sensing and real-time processing within a unified in-sensor computing(ISC)architecture.Exploiting the strong linear correlation between temperature and the zero-field splitting of nitrogen-vacancy(NV)color center centers in diamond,we realize a fixed-frequency temperature sensor with ultrafast response and tunable responsivity,enabled by multi-parameter microwave modulate.Matrix-vector multiplication of temperature intensity and responsivity,combined with Kirchhoff’s current summation,enables direct execution of neural-network-style computations on sensed data.The proposed system achieves a single-shot detection and identification latency of just 196.8μs,as experimentally validated.This work demonstrates a scalable ISC-enabled quantum sensing paradigm,offering a promising route toward high-speed,low-power intelligent temperature field detection.展开更多
基金supported by the National Key Research and Development Program of China(2021YFA1200801)the National Natural Science Foundation of China(No.62304226,52188101,62450124,62125406)+9 种基金the China Postdoctoral Science Foundation(2024T170946,2023M733574)the Excellent Youth Fund Project of Liaoning Province(2023JH3/10200003)the Outstanding Youth Fund Project of Liaoning Province(2025JH6/101100015)the Special Projects of the Central Government in Guidance of Local Science and Technology Development(2024010859-JH6/1006)the Special Research Assistantship Project of the Chinese Academy of Sciences(E455L502)the China Postdoctoral Science Foundation under Grant Number GZB20230776the Liaoning Provincial Key Laboratory of Public Opinion and Network Security Information System(d252453002)the Artificial Intelligence Technology Innovation Project of Liaoning Province(Grant No.2023JH26/10300019)the Young Top-notch Talents of the National High-level Talent Special Support Program,the basic scientific research project of universities funded by the Liaoning Provincial Department of Education(LJ212510140016)the Liaoning Province High-quality Industry-University Cooperation and Collaborative Education Project(241201160090747)。
文摘Accurate recognition of low-contrast targets in complex visual environments is essential for advanced intelligent machine vision systems.Conventional photodetectors often suffer from a weak photoresponse and a linear dependence of photocurrent on light intensity,which restricts their ability to capture low-contrast features and makes them susceptible to noise.Inspired by the adaptive mechanisms of the human visual system,we present a molybdenum disulfide(MoS_(2))phototransistor with tunable sensitivity,in which the gate stack incorporates a heterostructure diode—composed of O-plasma-treated MoS_(2) and pristine MoS_(2)—that serves as the photosensitive layer.This configuration enables light-intensity-dependent modulation of the diode’s conductance,which dynamically in turn alters the voltage distribution across the gate dielectric and transistor channel,leading to a significant photoresponse.By modulating the gate voltage,the light response range can be finely tuned,maintaining high sensitivity to low-contrast targets while suppressing noise interference.Compared to conventional photodetectors,the proposed device achieves a 1000-fold improvement in sensitivity for low-contrast signal detection and exhibits significantly enhanced noise immunity.The intelligent machine vision system built on this device demonstrates exceptional performance in detecting low-contrast targets,underscoring its promise for next-generation machine vision applications.
基金support provided by the Natural Sciences and Engineering Research Council of Canada(grant number:RGPIN-2022-05039)Canada Foundation for Innovation(grant number:JELF-38428).
文摘The controlled migration of ions in biological systems has inspired the development of ion-based electronics.Ionic diodes,leveraging ions as charge carriers,offer selective control over ion flux,mimicking ion-selective behavior observed in biological systems.Conventional ionic diodes containing fluids encounter challenges in adapting to biological systems due to their limited stretchability and stability.Recent advancements in solid-state ionic diodes based on stretchable gels enable tissue-like stretchability while maintaining diode-like performance.However,their relatively low rectification ratio hinders their electrical performance,necessitating effective strategies to enhance the rectification effect of stretchable ionic diodes.Here,we propose a method to enhance the rectification effect of hydrogel-based stretchable ionic diodes by incorporating high-valence cations into the P-type hydrogel layer.Through neutralization reactions,cations with valences of 1,2,and 3 were introduced to replace original hydrogen ions in the hydrogel,resulting in a substantial increase in the rectification ratio from 3 to over 70,with an elevated rectification ratio(140)under 100%strain.The enhanced rectification effect enables applications in iontronics,such as ionic rectifiers and bipolar junction transistors(BJTs).This study,for the first time,highlights the potential of improving electrical performances of iontronics through the manipulation of different ion properties.
基金supported in part by the National Natural Science Foundation of China under Grants 62175219,52275576,and U21A20141the Fundamental Research Program of Shanxi Province(202403021223007)the Sanjin Talent Program of Shanxi Province.
文摘Ultrafast temperature field detection and identification is crucial for applications ranging from environmental sensing and biomedical monitoring to thermal management in advanced energy systems.Conventional temperature sensors—comprising discrete sensing arrays,data storage units,and external processors—suffer from high latency due to slow sensor response,repeated analog-to-digital conversions,and extensive data transmission inherent to von Neumann architectures.Here,we report a diamond array-based quantum sensor that integrates temperature sensing and real-time processing within a unified in-sensor computing(ISC)architecture.Exploiting the strong linear correlation between temperature and the zero-field splitting of nitrogen-vacancy(NV)color center centers in diamond,we realize a fixed-frequency temperature sensor with ultrafast response and tunable responsivity,enabled by multi-parameter microwave modulate.Matrix-vector multiplication of temperature intensity and responsivity,combined with Kirchhoff’s current summation,enables direct execution of neural-network-style computations on sensed data.The proposed system achieves a single-shot detection and identification latency of just 196.8μs,as experimentally validated.This work demonstrates a scalable ISC-enabled quantum sensing paradigm,offering a promising route toward high-speed,low-power intelligent temperature field detection.
