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Neuromorphic multimodal perception of sensory systems can integrate the stimulation from different senses, thus enhancing the perception accuracy of organisms to understand the external environment. An optoelectronic memristor with the capability to combine multidimensional sensing and processing functions is highly desirable for developing efficient neuromorphic multimodal sensory systems (MSSs). In this work, a tellurene (Te) nanoflake-based optoelectronic memristor relying on solution plasma process (SPP) treatment is demonstrated for the first time, which is capable of combining infrared (IR) optical and electrical stimuli in a single synaptic device for a multisensory integration function. The multimode switching mechanisms can be attributed to the migration of SPP-induced defects under an electric field and the charge trapping/detrapping in those defects under light illumination. Furthermore, a multimode reservoir computing (MRC) system is realized to perform pattern recognition tasks using the IR optical (1022 nm) and electrical stimulations, including the fusion of visual and haptic multimode sensory and physiological recognition tasks. The accuracy of pattern recognition using MRC is obviously enhanced compared to that of individual sensory. This work provides a new approach to developing multimodal 2D Te-based MRC for the construction of highly efficient neuromorphic MSSs.
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http://dx.doi.org/10.1002/advs.202513647 | DOI Listing |
Light Sci Appl
September 2025
State Key Laboratory of Flexible Electronics, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications (NUPT), Nanjing, 210023, China.
As the demand for edge platforms in artificial intelligence increases, including mobile devices and security applications, the surge in data influx into edge devices often triggers interference and suboptimal decision-making. There is a pressing need for solutions emphasizing low power consumption and cost-effectiveness. In-sensor computing systems employing memristors face challenges in optimizing energy efficiency and streamlining manufacturing due to the necessity for multiple physical processing components.
View Article and Find Full Text PDFAdv Sci (Weinh)
September 2025
State Key Laboratory of Integrated Optoelectronics, Key Laboratory of UV Light-Emitting Materials and Technology of Ministry of Education, Northeast Normal University, Changchun, Jilin, 130024, China.
Neuromorphic multimodal perception of sensory systems can integrate the stimulation from different senses, thus enhancing the perception accuracy of organisms to understand the external environment. An optoelectronic memristor with the capability to combine multidimensional sensing and processing functions is highly desirable for developing efficient neuromorphic multimodal sensory systems (MSSs). In this work, a tellurene (Te) nanoflake-based optoelectronic memristor relying on solution plasma process (SPP) treatment is demonstrated for the first time, which is capable of combining infrared (IR) optical and electrical stimuli in a single synaptic device for a multisensory integration function.
View Article and Find Full Text PDFNano Lett
September 2025
Institute of Marine Science and Technology, Shandong University, Qingdao, Shandong 266237, China.
Multimodal recognition techniques are pivotal for advancing contemporary artificial intelligence, particularly in enhancing visual perception. However, research on electronic devices capable of robust multimodal recognition remains limited. In this study, we employ an InSe/AlO/ Pb(Zr·Ti·)O (PZT) heterostructure as a dynamic memristor.
View Article and Find Full Text PDFSmall
September 2025
Hybrid Materials Center (HMC), Sejong University, Seoul, 05006, Republic of Korea.
2D chalcogenide-based memristors have the potential to be used in artificial biological visual systems since their synaptic behavior can be optically and electrically modulated. Furthermore, 2D van der Waals materials such as SnS can be used to integrate multifunctional optoelectronic devices by employing a rational design. Here, the simulation of a human biological visual system is reported by using multifunctional optoelectronic synaptic devices.
View Article and Find Full Text PDFMaterials (Basel)
August 2025
Institute of Physics of the Polish Academy of Sciences, Al. Lotnikow 32/46, 02-668 Warsaw, Poland.
Understanding the resistive switching (RS) mechanisms in memristive devices is crucial for developing non-volatile memory technologies. Here, we investigate the memristor effect in hydrothermally grown Au-nanoseeded CuO films. Based on I-V measurements, conductive-AFM, S/TEM, and EDS analyses, we examine the changes within the switching layer associated with RS.
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