Wen Zhou

ORCID: 0000-0002-8851-3067
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About
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Research Areas
  • Photonic and Optical Devices
  • Photonic Crystals and Applications
  • Optical Network Technologies
  • Advanced Fiber Laser Technologies
  • Neural Networks and Reservoir Computing
  • biodegradable polymer synthesis and properties
  • Bone Tissue Engineering Materials
  • Advanced Fiber Optic Sensors
  • Plasmonic and Surface Plasmon Research
  • Polymer crystallization and properties
  • Advanced Photonic Communication Systems
  • Polymer Nanocomposites and Properties
  • Optical Coatings and Gratings
  • Mechanical and Optical Resonators
  • Terahertz technology and applications
  • Photonic Crystal and Fiber Optics
  • Advanced Memory and Neural Computing
  • Additive Manufacturing and 3D Printing Technologies
  • Semiconductor Lasers and Optical Devices
  • Phase-change materials and chalcogenides
  • Metamaterials and Metasurfaces Applications
  • Chalcogenide Semiconductor Thin Films
  • Calcium Carbonate Crystallization and Inhibition
  • GaN-based semiconductor devices and materials
  • Dental materials and restorations

University of Oxford
2020-2024

Xi'an Jiaotong University
2023-2024

Xinxiang Medical University
2024

Union Hospital
2020-2022

Huazhong University of Science and Technology
2007-2022

Tongji Hospital
2013-2022

Yangtze University
2022

Chinese University of Hong Kong
2008-2021

Shenzhen University
2015-2020

South China Normal University
2013-2019

Abstract Electronically reprogrammable photonic circuits based on phase-change chalcogenides present an avenue to resolve the von-Neumann bottleneck; however, implementation of such hybrid photonic–electronic processing has not achieved computational success. Here, we achieve this milestone by demonstrating in-memory dot-product engine, one that decouples electronic programming materials (PCMs) and computation. Specifically, develop non-volatile electronically PCM memory cells with a...

10.1038/s41467-023-38473-x article EN cc-by Nature Communications 2023-05-20

Abstract New developments in hardware-based ‘accelerators’ range from electronic tensor cores and memristor-based arrays to photonic implementations. The goal of these approaches is handle the exponentially growing computational load machine learning, which currently requires doubling hardware capability approximately every 3.5 months. One solution increasing data dimensionality that processable by such hardware. Although two-dimensional processing multiplexing space wavelength has been...

10.1038/s41566-023-01313-x article EN cc-by Nature Photonics 2023-10-19

10.1007/s10856-007-3156-9 article EN Journal of Materials Science Materials in Medicine 2007-06-18

Abstract In this study, transparent poly(vinyl alcohol) (PVA) and PVA/halloysite nanotubes (HNTs) bionanocomposite films were prepared by solution casting glutaraldehyde (GA) crosslinking. The surface topography chemistry of the characterized atomic force microscopy (AFM) attenuated total reflection Fourier transform infrared (ATR‐FTIR) spectroscopy, respectively. Blending with HNTs induced changes in nanotopography PVA films. mechanical properties enhanced incorporated HNTs. stain‐induced...

10.1002/jbm.a.32656 article EN Journal of Biomedical Materials Research Part A 2009-12-14

Abstract The integration of artificial intelligence (AI) systems in the daily life greatly increases amount data generated and processed. In addition to large computational power required, hardware needs be compact energy efficient. One promising approach fulfill those requirements is phase-change material based photonic neuromorphic computing that enables in-memory computation a high degree parallelization. following, we present an optimized layout tensor core (PTC) which designed perform...

10.1515/nanoph-2021-0752 article EN cc-by Nanophotonics 2022-02-11

The ever-increasing demands for data processing and storage will require seamless monolithic co-integration of electronics photonics. Phase-change materials are uniquely suited to fulfill this function due their dual electro-optical sensitivity, nonvolatile retention properties, fast switching dynamics. extreme size disparity however between CMOS dielectric photonics inhibits the realization efficient compact electrically driven photonic switches, logic routing elements. Here, authors...

10.1002/advs.202200383 article EN cc-by Advanced Science 2022-04-17

We present a focusing subwavelength grating (SWG) for efficient coupling of mid-infrared (mid-IR) light into suspended membrane Ge photonic integrated circuits (PICs) that enable mid-IR applications in the entire fingerprint region. By virtue their wide spectral transparency window and air-cladding device configuration, PICs are expected to be effective over region covering from 2 15 μm. Specifically, we demonstrate maximum efficiency -11 dB with 1-dB bandwidth ∼58 nm at SWG's center...

10.1364/ol.42.002094 article EN Optics Letters 2017-05-19

We propose a novel high-efficiency, low-reflection, and fabrication-tolerant perfectly vertical grating coupler (PVGC) with minimum feature size >200 nm to allow for fabrication using 193 deep-ultraviolet lithography. The structural parameters of PVGC were optimized by genetic optimization algorithm. Simulations predicted the coupling efficiency be −2.0 dB (63.0%) back reflections less than −20 in wavelength range 1532–1576 nm. design was fabricated multi-project wafer run silicon photonics,...

10.1364/ol.43.005709 article EN Optics Letters 2018-11-15

We propose a novel and highly efficient multimode waveguide grating coupler which can simultaneously launch four channels including two polarizations of the linear polarized (LP) modes, LP <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">01</sub> xmlns:xlink="http://www.w3.org/1999/xlink">11</sub> step-index few-mode fiber (FMF). The on silicon-on-insulator (SOI) platform is based subwavelength structure was optimized using genetic optimization...

10.1109/jqe.2019.2950126 article EN IEEE Journal of Quantum Electronics 2019-10-29

Cavity-enhanced thermo-optic bistability is studied in a graphene-on-Si3N4 ring resonator. By engineering the coverage of monolayer graphene on top Si3N4 resonator, we observed two-fold enhancement thermo-optically induced resonance shift rate and an 18-fold increase effective thermal nonlinear refractive index compared with devices without graphene. The hysteresis loop was also characterized this hybrid structure, where experimental results agree well theoretical calculations. This Letter...

10.1364/ol.42.001950 article EN Optics Letters 2017-05-05

A one-dimensional micro-bending vector sensor based on two-mode interference has been introduced. This device was fabricated by lateral offset splicing a piece of six-air-hole grapefruit microstructure fiber (GMF) with single mode (SMF). Variation effective index occurred investigated in simulation and experiment. exhibits sensitivities 0.441 nm/m(-1) -0.754 at 0° 180° bending orientations, respectively. Moreover, this is immune to surrounding refractive (SRI) presents low crosstalk temperature.

10.1364/oe.23.003010 article EN cc-by Optics Express 2015-02-02

Germanium is a promising material for mid-infrared (MIR) integrated photonics due to its CMOS compatibility and wide transparency window covering the fingerprint spectral region (2–15 μm). However, limited quality structural configurations of conventional germanium-based integration platforms, realization high-Q on-chip germanium resonators in MIR range remains challenging date. Here we experimentally demonstrate an air-cladding microring resonator with, best our knowledge, highest loaded...

10.1364/ol.43.002885 article EN Optics Letters 2018-06-11

Abstract This paper presents a 2300 nm wavelength photodetector which comprises spin‐deposited colloidal HgTe quantum dot (QD) film on metal‐insulator‐metal (MIM) plasmonic waveguide. is an integrated device based the complementary metal‐oxide‐semiconductor compatible silicon‐on‐insulator platform. The employs input and output silicon waveguide grating couplers, QDs are used as infrared photosensing material. Infrared light coupled to strongly confined MIM mode, shrinks footprint improves...

10.1002/admt.201900354 article EN Advanced Materials Technologies 2019-08-23

Abstract Neuromorphic algorithms achieve remarkable performance milestones in tasks where humans have traditionally excelled. The breadth of data generated by these paradigms is, however, unsustainable conventional computing chips. In-memory hardware aims to mimic biological neural networks and has emerged as a viable path overcoming fundamental limitations the von Neumann architecture. By eliminating latency energy losses associated with transferring between memory central processing unit...

10.1557/s43577-022-00358-7 article EN cc-by MRS Bulletin 2022-05-01

Abstract In the past decade, there has been tremendous progress in integrating chalcogenide phase-change materials (PCMs) on silicon photonic platform for non-volatile memory to neuromorphic in-memory computing applications. particular, these non von Neumann computational elements and systems benefit from mass manufacturing of integrated circuits (PICs) 8-inch wafers using a 130 nm complementary metal-oxide semiconductor line. Chip based deep-ultraviolet lithography electron-beam enables...

10.1088/2631-7990/ad1575 article EN cc-by International Journal of Extreme Manufacturing 2023-12-13

This study aims to explore the mechanism by which selenium nanoparticles (SeNPs) inhibit retinal neovascularization (RNV) and identify a more effective treatment for pathological RNV. The characterization identification of synthesized were conducted investigate their effects on function human umbilical vein endothelial cells (HUVECs), blood vessel development in mice, impact oxygen-induced retinopathy. Tritium-labeled thymine was utilized label newly DNA both vivo vitro, allowing observation...

10.1080/17435889.2025.2480046 article EN Nanomedicine 2025-03-21

Abstract Microspheres consisting of carbonated hydroxyapatite (CHAp) nanoparticles and poly( L ‐lactide) (PLLA) have been fabricated for use in the construction osetoconductive bone tissue engineering scaffolds by selective laser sintering (SLS). In SLS, PLLA polymer melts crystallizes. It is therefore necessary to study crystallization kinetics PLLA/CHAp nanocomposites. The effects 10 wt% CHAp on isothermal nonisothermal behavior matrix were studied, using neat comparisons. Avrami equation...

10.1002/app.30527 article EN Journal of Applied Polymer Science 2009-05-27

A fully suspended mid-infrared (FSMIR) slot waveguide is proposed and experimentally demonstrated on a silicon-on-insulator (SOI) platform for the first time. The slotted core mechanically supported by lateral subwavelength grating claddings. fabricated waveguides possess low propagation loss, which measured to be 7.9 dB/cm at wavelength of 2.25 μm. With underlying buried oxide (BOX) removed, FSMIR has broad spectral range transparency that limited only absorption silicon. Numerical...

10.1364/ol.42.001245 article EN Optics Letters 2017-03-20

A fully suspended slot waveguide (FSSWG) platform, including straight waveguides, 90° bends, high-Q racetrack resonators, and strip-to-slot mode converters, is demonstrated for broadband low-loss operation in the mid-infrared spectral region. The proposed FSSWG platform has inherent merits of a broad range transparency which limited only by absorption silicon, strong light–analyte interaction, good mechanical stability, single lithography step fabrication process. By using asymmetric FSSWGs,...

10.1063/1.5017780 article EN Journal of Applied Physics 2018-02-14

Abstract Chalcogenide phase-change materials (PCMs) are widely applied in electronic and photonic applications, such as non-volatile memory neuro-inspired computing. Doped Sb 2 Te alloys now gaining increasing attention for on-chip due to their growth-driven crystallization features. However, it remains unknown whether also forms a metastable crystalline phase upon nanoseconds devices, similar the case of nucleation-driven Ge-Sb-Te alloys. Here, we carry out ab initio simulations understand...

10.1038/s41524-023-01098-1 article EN cc-by npj Computational Materials 2023-08-07
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