Publications by authors named "Xuemeng Hu"

The emerging demand of data storage in wearable devices, flexible circuits based on organic semiconductor materials are encouraged, while organic field effect transistors face the challenges of low operating voltage and high on/off ratio. In this work, a high-performance flexible organic field effect transistor (OFET) is built with a threshold voltage range of -0.45 to -0.

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Developing optoelectronic synaptic devices with low power consumption, broadband response, and biological compatibility is crucial to simulate the functions of optic nerve. Here, an organic synapse transistor based on C8-BTBT/PMMA/PbS quantum dots (PbS QDs) is fabricated, which has good stability, low power consumption (as low as 0.49 fJ per event under 800 nm near-infrared optical pulse), and broadband response from ultraviolet to near-infrared wavelengths.

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Article Synopsis
  • The demand for high-performance flexible ferroelectric memories is growing due to advancements in wearable devices, but achieving both flexibility and performance has been difficult.
  • A new flexible field-effect transistor (FeFET) device was developed using Zr-doped HfO and ultra-thin indium tin oxide, with impressive specifications like a memory window of 2.78V and a high current on/off ratio.
  • This FeFET also demonstrates exceptional reliability under bending conditions and has potential applications in edge intelligence due to its efficient integration with hafnium-based materials.
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We present a 4×4 real-valued channel equalizer with embedded phase estimator, designed for carrier phase and frequency offset estimation and compensation in coherent optical communications with in-phase/quadrature (IQ) impairments. These impairments include IQ timing skew, gain imbalance, and quadrature phase errors at the transmitter side. To achieve adaptive control of the equalizer's filter coefficients, we employ the decision-directed least mean square (DD-LMS) algorithm.

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Recent proliferation and integration of tissue-clearing methods and light-sheet fluorescence microscopy has created new opportunities to achieve mesoscale three-dimensional whole-brain connectivity mapping with exceptionally high throughput. With the rapid generation of large, high-quality imaging datasets, downstream analysis is becoming the major technical bottleneck for mesoscale connectomics. Current computational solutions are labor intensive with limited applications because of the exhaustive manual annotation and heavily customized training.

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Background: Exosomes play important roles in intercellular communication by delivering microRNAs (miRNAs) that mediate tumor initiation and development, including those in diffuse large B cell lymphoma (DLBCL). To date, however, limited studies on the inhibitory effect of exosomes derived from human bone marrow mesenchymal stem cells (hBMSCs) on DLBCL progression have been reported. Therefore, this study aimed to investigate the role of hBMSC exosomes carrying microRNA-124-3p in the development of DLBCL.

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Article Synopsis
  • Researchers have introduced a new type of wearable organic ferroelectric artificial synapse aimed at mimicking brain-like information processing, which operates with significantly lower energy consumption than traditional devices.
  • This synapse features both optical and electrical modulation, allowing for rapid operation speeds of 30 nanoseconds and consuming only 0.0675 attojoules per event.
  • The innovation supports associative learning through combined modulation and shows strong performance under bending strains, paving the way for ultralow power artificial intelligence and future wearable tech advancements.
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