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Recently, the optoelectronic memory is capturing growing attention due to its integrated function of sense and memory as well as multilevel storage ability. Although tens of states have been reported in literature, there are still three obvious deficiencies in most of the optoelectronic memories: large programming voltage (>20 V), high optical power density (>1 mW cm), and poor compatibility originating from the over-reliance on channel materials. Here, we firstly propose an optoelectronic memory based on a new photosensitive dielectric (PSD) architecture. Data writing and erasing are realized by using an optical pulse to switch on the PSD. The unique design enables the memory to work with a programming voltage and optical power density as low as 4 V and 160 µW cm, respectively. Meanwhile, this device may be extended to different kinds of transistors for specific applications. Our discovery offers a brand-new direction for non-volatile optoelectronic memories with low energy consumption.
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http://dx.doi.org/10.1038/s41467-023-40938-y | DOI Listing |
J Phys Chem Lett
September 2025
Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China.
Two-dimensional ferroelectric tunnel junctions (2D FTJs) have attracted extensive attention in recent years, which mainly change the height of the tunnel barrier via manipulation of the ferroelectric polarization. However, it is very challenging to realize the high tunneling electroresistance (TER) of FTJs based on the barrier height. Here, we report the 2D FTJs using a unique structure with semiconducting MoS/α-InSe/monolayer graphene, where ferroelectric polarization of α-InSe shifts the barrier height by 1.
View Article and Find Full Text PDFNano Lett
September 2025
Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37673, Republic of Korea.
Active manipulation of terahertz (THz) waves is important for future optoelectronic applications, but most approaches rely on volatile or slow actuation, limiting efficiency and stability. Here, we report a nonvolatile, low-voltage tunable THz transmission device based on electrochemical modulation of a conductive polymer thin film integrated with metallic nanoresonators. A thin film of PEDOT:PSS, deposited via a single-step spin-coating process onto the nanoresonator array, enables efficient modulation of resonance-enhanced THz transmission with a gate voltage of less than 1 V.
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 PDFACS Nano
September 2025
Institute of Inorganic Chemistry, Department of Chemistry and Applied Biosciences, ETH Zürich, 8093 Zürich, Switzerland.
Nanocrystals (NCs) of various compositions have made important contributions to science and technology, with their impact recognized by the 2023 Nobel Prize in Chemistry for the discovery and synthesis of semiconductor quantum dots (QDs). Over four decades of research into NCs has led to numerous advancements in diverse fields, such as optoelectronics, catalysis, energy, medicine, and recently, quantum information and computing. The last 10 years since the predecessor perspective "Prospect of Nanoscience with Nanocrystals" was published in ACS Nano have seen NC research continuously evolve, yielding critical advances in fundamental understanding and practical applications.
View Article and Find Full Text PDFAdv Mater
September 2025
School of Electrical Engineering, Korea University, Seoul, 02841, Republic of Korea.
Neuromorphic computing addresses the von Neumann bottleneck by integrating memory and processing to emulate synaptic behavior. Artificial synapses enable this functionality through analog conductance modulation, low-power operation, and nanoscale integration. Halide perovskites with high ionic mobilities and solution processabilities have emerged as promising materials for such devices; however, inherent stochastic ion migration and thermal instability lead to asymmetric and nonlinear characteristics, ultimately impairing their learning and inference capabilities.
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