Publications by authors named "Tupei Chen"

Article Synopsis
  • Pregnancy monitoring is crucial for the health of mothers and fetuses, with WHO reporting 287,000 maternal deaths in 2020, sparking a need for more accessible options than traditional hospital visits.
  • Advances in wearable sensors and AI are making home-based, non-invasive health monitoring for pregnant women more feasible and convenient.
  • The review highlights the role of wearable sensors in tracking physiological signals and how AI can enhance early detection and diagnosis, while also addressing ongoing challenges like accuracy and data privacy.
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Cellular automata (CA) are computational systems that exhibit complex global behavior arising from simple local rules, making them a fascinating candidate for various research areas. However, challenges such as limited flexibility and efficiency on conventional hardware platforms still exist. In this study, we propose a memristor-based circuit for implementing elementary cellular automata (ECA) by extending the stateful three-memristor logic operations derived from material implication (IMP) logic gates.

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Working memory refers to the brain's ability to store and manipulate information for a short period. It is disputably considered to rely on two mechanisms: sustained neuronal firing, and "activity-silent" working memory. To develop a highly biologically plausible neuromorphic computing system, it is anticipated to physically realize working memory that corresponds to both of these mechanisms.

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Article Synopsis
  • The paper discusses a new architecture for accelerating artificial neural networks using Processing-in-Memory (PIM) technology based on Resistive Random Access Memory (RRAM), which simplifies hardware by eliminating the need for ADCs and DACs.
  • It introduces partial quantization to maintain accuracy while reducing power consumption and improving computation speed during convolution tasks, allowing for more efficient data processing.
  • Results show that this architecture enables a Convolutional Neural Network (CNN) to process images at 284 frames per second at 50 MHz while keeping accuracy levels nearly identical to traditional methods without quantization.
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A transparent thin film transistor (TFT) based on the combination of an InGaZnO channel and a high-κ (the dielectric constant is about 42.6) TaO gate dielectric layer is fabricated. The TFT shows robust anticlockwise hysteresis under DC voltage sweep and synaptic behaviors (, excitatory postsynaptic current, short-term memory plasticity, short-term memory to long-term memory transition, and potentiation and depression) under voltage pulse stimulus.

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Transparent resistive switching random access memory (ReRAM) is of interest for the future integrated invisible circuitry. However, poor understanding of its working mechanism in transparent ReRAMs with the indium tin oxide (ITO) electrode is still a critical problem and will hinder its widespread applications. To reveal the actual working mechanism in transparent ReRAMs with the ITO electrode, we investigate the transparent ITO/SiO/ITO memory devices (∼82% transmittance in the visible region) and compare it with ITO/SiO/Au memory devices, which both can exhibit reproducible bipolar switching.

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Article Synopsis
  • A reconfigurable spiking neural network processor was developed with 192 neurons and 6144 synapses, optimized for scalability.
  • A deep compression technique allowed the physical synapses to be reduced to 1/16 of the original while maintaining accuracy, decreasing the required SRAMs and power consumption.
  • The processor achieved a throughput of 1.1 GSOP/(unit area) at 1.2 V and successfully performed handwritten digit recognition on the MNIST dataset with 91.2% accuracy.
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Huge challenges remain regarding the facile fabrication of neat metallic nanowires mesh for high-quality transparent conductors (TCs). Here, a scalable metallic nanowires bundle micromesh is achieved readily by a spray-assisted self-assembly process, resulting in a conducting mesh with controllable ring size (4-45 µm) that can be easily realized on optional polymer substrates, rendering it transferable to various deformable and transparent substrates. The resultant conductors with the embedded nanowires bundle micromesh deliver superior and customizable optoelectronic performances, and can sustain various mechanical deformations, environmental exposure, and severe washing, exhibiting feasibility for large-scale manufacturing.

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Article Synopsis
  • Optically transparent thin-film transistors (TFTs), combining p-channel carbon nanotube and n-channel indium-tin-oxide technologies, are being developed for advanced transparent electronics, enabling new analog and digital circuits.
  • The fabrication method used is cost-effective and shows impressive optical transparency, with devices allowing about 90% light transmittance and functioning as common logic gates like inverters, NAND, and NOR.
  • The study also highlights the ability of these hybrid devices to perform not only traditional electric logic operations but also innovative optical-reconfigurable operations, enhancing their functionality beyond conventional designs.
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The ability to selectively scatter green light is essential for an RGB transparent projection display, and this can be achieved by a silver-core, titania-shell nanostructure (Ag@TiO), based on the metallic nanoparticle's localized surface plasmon resonance. The ability to selectively scatter green light is shown in a theoretical design, in which structural optimization is included, and is then experimentally verified by characterization of a transparent film produced by dispersing such nanoparticles in a polymer matrix. A visual assessesment indicates that a high-quality green image can be clearly displayed on the transparent film.

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Electronics with multifunctionalities such as transparency, portability, and flexibility are anticipated for future circuitry development. Flexible memory is one of the indispensable elements in a hybrid electronic integrated circuit as the information storage device. Herein, we demonstrate a transparent, flexible, and transferable hexagonal boron nitride (hBN)-based resistive switching memory with indium tin oxide (ITO) and graphene electrodes on soft polydimethylsiloxane (PDMS) substrate.

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The alloying-dealloying reactions of SnS proceeds with the initial conversion reaction of SnS with lithium that produces LiS. Unfortunately, due to the electrochemical inactivity of LiS, the conversion reaction of SnS is irreversible, which significantly limit its potential applications in lithium-ion batteries. Herein, a systematic understanding of transition metal molybdenum (Mo) as a catalyst in SnS anode is presented.

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Transparent nonvolatile memory has great potential in integrated transparent electronics. Here, we present highly transparent resistive switching memory using stoichiometric WO film produced by cathodic electrodeposition with indium tin oxide electrodes. The memory device demonstrates good optical transmittance, excellent operative uniformity, low operating voltages (+0.

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In recent years, two-dimensional (2D) layered transitional metal chalcogenides (TMCs) have received much attention as promising electrode materials in energy storage. Although recent reports on 2D TMC nanostructures have demonstrated promising electrochemical performances, the major scientific challenge is to develop a viable synthesis process to produce layered structures of chalcogenides (Co, Ni or Fe based TMCs) as anode materials. In this work, we propose the synthesis of layered Co0.

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In order to achieve optimal desalination during capacitive deionization (CDI), CDI electrodes should possess high electrical conductivity, large surface area, good wettability to water, narrow pore size distribution and efficient pathways for ion and electron transportation. In this work, we fabricated a novel CDI electrode based on a three-dimensional graphene (3DG) architecture by constructing interconnected graphene sheets with in-plane nanopores (NP-3DG). As compared to 3DG, NP-3DG features a larger specific surface area of 445 m(2) g(-1) and therefore the higher specific capacitance.

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Visible electroluminescence (EL) with tunable wavelength has been observed at room temperature from randomly assembled n-CdS(x)Se(1-x) nanowires grown on a p(+)-SiC substrate by the vapor transport technique. The dominant emission peaks can be tuned from ∼720 to ∼520 nm by varying the composition of the alloy nanowires.

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