Xiaotian Zhu

Reconfigurable Optical Dilated Convolution Accelerator for Multi‐Scale Feature Extraction

Yixuan Zheng, Yunping Bai, Ruilin Liao, Xiyao Jia et autres

ABSTRACT Dilated convolution is pivotal for dense prediction tasks such as semantic segmentation, as it expands the receptive field to capture multi‐scale contextual information without increasing parameter complexity. However, its electronic implementation often faces bottlenecks due to non‐contiguous memory access and high …

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Precise control of the release behavior of multiphase delivery systems and their innovative applications in biomedicine

Nianjie Feng, Xin Liu, Xiaotian Zhu, Wei Li et autres

Multiphase delivery systems, with two or more distinct components, show high drug loading and release regulation abilities, drawing much biomedicine research attention. They can precisely control drug release by modulating structural and interfacial features. However, challenges like poor stability, inaccurate release prediction, …

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Alternating Current Electroluminescent Sensor for Visual Detection of Trace Water in Oil

Yuyang Li, Zhewei Wang, Shuangyang Kuang, Keyuan Ding et autres

The trace water content in industrial oil critically affects the operational stability and service life of industrial equipment and serves as a key indicator for evaluating oil quality. Therefore, the rapid, sensitive, and visual detection of trace water in oil is of …

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Dense wavelength division multiplexing based on soliton crystal microcomb interweaving

Zhihui Liu, Shifan Chen, Yuhang Song, Caitlin E. Murray et autres

Photonic signal processing technology based on on-chip Kerr microcombs enables various signal processing functions such as programmable filters, channelization, convolutional intelligent acceleration, integration/differentiation calculations, and wide-instantaneous-bandwidth beamforming. The core principle involves the temporal-wavelength interweaving effect of equidistant microcomb wavelength channels after transmission …

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Microcomb-enabled parallel self- calibration optical convolution streaming processor

Yi-Xiang Wang, Xingyuan Xu, Xiaotian Zhu, Yifu Xu et autres

The exponential growth of cloud computing and artificial intelligence (AI) applications has driven an urgent need for high-bandwidth, energy-efficient hardware architectures in data centers. With Moore's Law nearing its limits, optical neuromorphic computing hardware offers a promising alternative, providing ultra-high speeds and …

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Changes from lignin to lignin derivatives during prehydrolysis of lignocellulose

Xin Wang, Xiaotian Zhu, Xu Yang, Qian Wu

Abstract Lignin derivatives produced in prehydrolysis have hindered the conversion and utilization of carbohydrates. Using Masson pine, poplar, and wheat straw as raw materials, the changes from lignin to lignin derivatives during prehydrolysis were systematically studied under the conditions of hydrolysis temperature …

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Lignin particles morphology: A neglected factor in cellulase hydrolysis

Nianjie Feng, Xiaotian Zhu, Xin Wang, Qian Wu et autres

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Lanthanide-Doped Cs2ZrCl6 Perovskite Nanocrystals for Multimode Anti-Counterfeiting Application

Longbin You, Qixin Wang, Yuting Liao, Xiaotian Zhu et autres

The escalating prevalence of counterfeiting and forgery has imposed unprecedented demands on advanced anti-counterfeiting technologies. Traditional luminescent materials, relying on single-mode or static emission, are inherently vulnerable to replication using commercially available phosphors or simple spectral blending. Multimode luminescent materials exhibiting excitation …

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Dual effects of lignin derivatives produced by hydrothermal pretreatment on cellulase hydrolysis

Nianjie Feng, Xin Liu, Qiao Cheng, Xu Yang et autres

The pseudo-lignin (PL) from hydrothermal pretreatment enhances cellulase activity and improves the hydrolysis efficiency via hydrophilic interaction, whereas the lignin-like substances (LL) inhibit enzyme activity through hydrophobic interaction.

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Reconfigurable optical dilated convolution accelerator for semantic segmentation

Yixuan Zheng, Ruilin Liao, Xiyao Jia, Yunping Bai et autres

We first experimentally demonstrated a Reconfigurable Optical Dilated Convolution Accelerator (RODCA) based on a wavelength–dispersion co-tuning mechanism, accelerating multi-scale feature extraction for semantic-segmentation applications, achieving an equivalent computing speed up to 13.858 TOPS.

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Surface Halide Inversion Mitigates Voltage Losses in Wide‐Bandgap Perovskite for Efficient Tandem

Yunfei Li, Nannan Sun, Xingxing Jiang, Hao Chen et autres

Abstract Substantial energy loss at the wide‐bandgap (WBG) perovskite/fullerene interface poses a fundamental bottleneck for efficient all‐perovskite tandem solar cells (APTSCs). Surface defects of WBG perovskite are a known source of non‐radiative recombination and have been well‐passivated, but this interface still remains …

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Surface Halide Inversion Mitigates Voltage Losses in Wide‐Bandgap Perovskite for Efficient Tandem

Yunfei Li, Nannan Sun, Xingxing Jiang, Hao Chen et autres

Abstract Substantial energy loss at the wide‐bandgap (WBG) perovskite/fullerene interface poses a fundamental bottleneck for efficient all‐perovskite tandem solar cells (APTSCs). Surface defects of WBG perovskite are a known source of non‐radiative recombination and have been well‐passivated, but this interface still remains …

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