ACS Photonics最新文献_第7页

Single-Base Resolution Photonic-Integrated Chips via Hybrid Dielectric–Metal Nanocavities for Ultrasensitive Multichannel Biosensing 通过介电-金属混合纳米腔体实现超灵敏多通道生物传感的单基点分辨率光子集成芯片

IF 6.5 1区物理与天体物理

ACS Photonics Pub Date : 2024-11-06 DOI: 10.1021/acsphotonics.4c0143710.1021/acsphotonics.4c01437

Bowen Du, Yule Zhang, Fuquan Xie, Zhi Chen, Songrui Wei, Yanqi Ge, Xilin Tian, Qiao Jiang, Qiuliang Wang, Xueji Zhang, Defa Li, Zhongjian Xie* and Han Zhang*,

{"title":"Single-Base Resolution Photonic-Integrated Chips via Hybrid Dielectric–Metal Nanocavities for Ultrasensitive Multichannel Biosensing","authors":"Bowen Du, Yule Zhang, Fuquan Xie, Zhi Chen, Songrui Wei, Yanqi Ge, Xilin Tian, Qiao Jiang, Qiuliang Wang, Xueji Zhang, Defa Li, Zhongjian Xie* and Han Zhang*, ","doi":"10.1021/acsphotonics.4c0143710.1021/acsphotonics.4c01437","DOIUrl":"https://doi.org/10.1021/acsphotonics.4c01437https://doi.org/10.1021/acsphotonics.4c01437","url":null,"abstract":"The development of highly precise and rapid biological photonic-integrated chips with single-base resolution for target gene detection holds immense potential to revolutionize genetic diagnostics and nonlinear optical devices. Our recent study presents the design of a single-base resolution photonic-integrated chip (SRPIC) with multichannel biosensing capabilities, enabling discrimination between gene segment sequences differing by a single nucleotide at sample concentrations below 1 fM. Through the utilization of hybrid dielectric–metal nanocavity arrays, the SRPIC established an efficient biosensing platform by motivating light-biological matter coupling behavior. This accomplishment represents an extraordinary 104-fold increase in the limit of detection (LOD) compared with the CRISPR-HOLMES technique, exhibiting nearly impeccable precision during clinical testing. Our research highlights the potential of SRPIC as a powerful tool for the development of high-performance photonic-integrated chips capable of achieving multichannel single-base resolution biosensing, with each channel representing the detection of a single virus.","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":"11 11","pages":"4948–4957 4948–4957"},"PeriodicalIF":6.5,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142673996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rapid On-Demand Design of Inverted All-Dielectric Metagratings for Trace Terahertz Molecular Fingerprint Sensing by Deep Learning 通过深度学习快速按需设计用于痕量太赫兹分子指纹传感的反向全介质元矩阵

IF 6.5 1区物理与天体物理

ACS Photonics Pub Date : 2024-11-05 DOI: 10.1021/acsphotonics.4c0135810.1021/acsphotonics.4c01358

Xueying Liu, Yinong Xie, Yiming Yan, Qiang Niu, Li-Guo Zhu, Zhaogang Dong, Qing Huo Liu and Jinfeng Zhu*,

{"title":"Rapid On-Demand Design of Inverted All-Dielectric Metagratings for Trace Terahertz Molecular Fingerprint Sensing by Deep Learning","authors":"Xueying Liu, Yinong Xie, Yiming Yan, Qiang Niu, Li-Guo Zhu, Zhaogang Dong, Qing Huo Liu and Jinfeng Zhu*, ","doi":"10.1021/acsphotonics.4c0135810.1021/acsphotonics.4c01358","DOIUrl":"https://doi.org/10.1021/acsphotonics.4c01358https://doi.org/10.1021/acsphotonics.4c01358","url":null,"abstract":"Metasurface design with a multiplexing scheme holds promise for enhancing trace detection of terahertz (THz) molecular fingerprints. Conventional designs rely on matching spectral resonance positions with fingerprints of trace analytes, which require laborious metastructure optimizations by performing massive optical simulations. Recently, deep learning (DL) has indicated great potential for designing metasurfaces. However, its design application for THz fingerprint metasurface sensors has barely been reported so far. Here, we present a DL architecture of a bidirectional neural network to design an inverted all-dielectric metagrating (IAM) for trace THz fingerprint sensing. Based on a given THz fingerprint spectrum, our DL design tool can flexibly customize the critical sensing structure of the metagrating with the corresponding resonance frequency. Combining the designed IAM with angle multiplexing, one can excite a sequence of guided-mode resonances in a wide THz band, which supports elevating the THz fingerprint detection performance on a flat sensing surface. The DL design is used to guide the fabrication and measurement of IAM for trace α-lactose sensing, where the experimental results demonstrate metasensing enhancement by 9.3 times and imply the fast and powerful capability of our design method. Our research will inspire more DL applications on quick on-demand designs for many other THz metadevices and metasystems.","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":"11 11","pages":"4838–4845 4838–4845"},"PeriodicalIF":6.5,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142671200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rapid On-Demand Design of Inverted All-Dielectric Metagratings for Trace Terahertz Molecular Fingerprint Sensing by Deep Learning 通过深度学习快速按需设计用于痕量太赫兹分子指纹传感的反向全介质元矩阵

IF 7 1区物理与天体物理

ACS Photonics Pub Date : 2024-11-05 DOI: 10.1021/acsphotonics.4c01358

Xueying Liu, Yinong Xie, Yiming Yan, Qiang Niu, Li-Guo Zhu, Zhaogang Dong, Qing Huo Liu, Jinfeng Zhu

{"title":"Rapid On-Demand Design of Inverted All-Dielectric Metagratings for Trace Terahertz Molecular Fingerprint Sensing by Deep Learning","authors":"Xueying Liu, Yinong Xie, Yiming Yan, Qiang Niu, Li-Guo Zhu, Zhaogang Dong, Qing Huo Liu, Jinfeng Zhu","doi":"10.1021/acsphotonics.4c01358","DOIUrl":"https://doi.org/10.1021/acsphotonics.4c01358","url":null,"abstract":"Metasurface design with a multiplexing scheme holds promise for enhancing trace detection of terahertz (THz) molecular fingerprints. Conventional designs rely on matching spectral resonance positions with fingerprints of trace analytes, which require laborious metastructure optimizations by performing massive optical simulations. Recently, deep learning (DL) has indicated great potential for designing metasurfaces. However, its design application for THz fingerprint metasurface sensors has barely been reported so far. Here, we present a DL architecture of a bidirectional neural network to design an inverted all-dielectric metagrating (IAM) for trace THz fingerprint sensing. Based on a given THz fingerprint spectrum, our DL design tool can flexibly customize the critical sensing structure of the metagrating with the corresponding resonance frequency. Combining the designed IAM with angle multiplexing, one can excite a sequence of guided-mode resonances in a wide THz band, which supports elevating the THz fingerprint detection performance on a flat sensing surface. The DL design is used to guide the fabrication and measurement of IAM for trace α-lactose sensing, where the experimental results demonstrate metasensing enhancement by 9.3 times and imply the fast and powerful capability of our design method. Our research will inspire more DL applications on quick on-demand designs for many other THz metadevices and metasystems.","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":"8 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Solvent-Engineered Strategy Synthesis of Multicolor Fluorescent Carbon Dots for Advanced Solid-State Lighting Applications 溶剂工程策略合成用于先进固态照明应用的多色荧光碳点

IF 7 1区物理与天体物理

ACS Photonics Pub Date : 2024-11-05 DOI: 10.1021/acsphotonics.4c01188

Qingxin Zeng, Haiyan Qi, Tao Jing, Jun Li, Siqi Shen, Hongxu Zhao, Yang Gao

{"title":"Solvent-Engineered Strategy Synthesis of Multicolor Fluorescent Carbon Dots for Advanced Solid-State Lighting Applications","authors":"Qingxin Zeng, Haiyan Qi, Tao Jing, Jun Li, Siqi Shen, Hongxu Zhao, Yang Gao","doi":"10.1021/acsphotonics.4c01188","DOIUrl":"https://doi.org/10.1021/acsphotonics.4c01188","url":null,"abstract":"At present, achieving tunable fluorescent carbon dots (CDs) with narrow full width at half-maximum (FWHM) and high fluorescence quantum yields (QYs) remains a significant challenge. In our study, l-tryptophan and o-phenylenediamine were utilized as precursors, systematically controlling their band gaps and surface states by varying the solvent type. The blue (B-CDs), yellow-green (YG-CDs), and red (R-CDs) fluorescent CDs were successfully prepared, with optimal excitation wavelengths (λex) of 444, 537, and 597 nm, respectively. Especially, these multicolor CDs (M-CDs) exhibited impressive QYs of 53.69, 54.88, and 58.79%, and narrow FWHM of 71, 64, and 34 nm, respectively. Their distinct optical properties were achieved by manipulating the carbonization and dehydration processes through a solvent selection. The variations in optical properties were primarily attributed to increased amino nitrogen content, quantum size, and coordinated effects of surface oxidation states. Furthermore, M-CDs were successfully incorporated into polyvinyl alcohol (PVA) to produce transparent and flexible fluorescent films, demonstrating their excellent and stable optical quality. Finally, the potential of M-CDs in optoelectronic applications was showcased by fabricating bright light-emitting diodes (LEDs).","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":"1 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reconfigurable Electro-Optic FET Based on Ferroelectric Electrostatic Doping toward Optical Field Programmable Gate Arrays 基于铁电静电掺杂的可重构光电场效应晶体管，面向光场可编程门阵列

IF 7 1区物理与天体物理

ACS Photonics Pub Date : 2024-11-05 DOI: 10.1021/acsphotonics.4c01260

Yong Zhang, Feng Guo, Zheng-Dong Luo, Ruijuan Tian, Danyang Yao, Xiaoqing Chen, Cizhe Fang, Xuetao Gan, Yan Liu, Yue Hao, Genquan Han

{"title":"Reconfigurable Electro-Optic FET Based on Ferroelectric Electrostatic Doping toward Optical Field Programmable Gate Arrays","authors":"Yong Zhang, Feng Guo, Zheng-Dong Luo, Ruijuan Tian, Danyang Yao, Xiaoqing Chen, Cizhe Fang, Xuetao Gan, Yan Liu, Yue Hao, Genquan Han","doi":"10.1021/acsphotonics.4c01260","DOIUrl":"https://doi.org/10.1021/acsphotonics.4c01260","url":null,"abstract":"Silicon photonic integrated circuits have been extremely well developed and have gradually moved toward large-scale production. However, the limitations of current scaling have forced researchers to explore new avenues to achieve more compact integration and to develop more cost-effective silicon photonics components. Silicon photonic FPGAs are more area-efficient and flexible compared to traditional on-chip optical circuits due to their reconfigurable nature, which allows for the optimization of silicon photonic devices after fabrication. This feature enables a wide range of applications and performance requirements to be met with a single chip design, thereby reducing costs and enabling the rapid prototyping of new photonic circuits. Here, leveraging ferroelectric-doped graphene into a silicon field programmable gate array, we propose a compact reconfigurable electro-optical device with superior nonvolatility and reconfigurability, broadening the range of applications for programmable silicon photonics. Nonvolatile multilevel memory with electrical write and optical readout is implemented. This innovative memory system supports 10 distinct levels of electro-optical storage, providing enhanced capacity and flexibility. Carrier-enhanced and -depleted modes can be reconfigured by electrical programming on the same optical logic gate. Reconfigurable logic computing in the electronic and optical domain that takes advantage of this feature is demonstrated. Our work provides a compact new approach for programmable electro-optic field programmable gate arrays with low power consumption.","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":"36 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High-Quality Atom-Manipulation by Pancharatnam–Berry Metasurface for High-Sensitivity Miniaturized Optically Pumped Magnetometers 利用潘查拉特南-浆果金属表面的高质量原子操纵技术实现高灵敏度微型光泵浦磁力计

IF 7 1区物理与天体物理

ACS Photonics Pub Date : 2024-11-05 DOI: 10.1021/acsphotonics.4c01694

Jin Li, Shuo Sun, Xiaoxun Li, Yaoyao Feng, Yi Zhang, Xiangyu Huang, Pengcheng Du, Jiahao Zhang, Liang Chen, Ángel S. Sanz, Luis L. Sánchez-Soto

{"title":"High-Quality Atom-Manipulation by Pancharatnam–Berry Metasurface for High-Sensitivity Miniaturized Optically Pumped Magnetometers","authors":"Jin Li, Shuo Sun, Xiaoxun Li, Yaoyao Feng, Yi Zhang, Xiangyu Huang, Pengcheng Du, Jiahao Zhang, Liang Chen, Ángel S. Sanz, Luis L. Sánchez-Soto","doi":"10.1021/acsphotonics.4c01694","DOIUrl":"https://doi.org/10.1021/acsphotonics.4c01694","url":null,"abstract":"Precise atom-manipulation by light plays a pivotal role in optically pumped magnetometers (OPMs), involving the fundamental interaction between light and atoms, as it significantly enhances the sensitivity and stability of magnetic field measurements. However, the available laser beams matched with a vapor of alkali metal atoms (such as rubidium or cesium) cannot simultaneously provide a perfect circularly polarized state and the desired profile (Gaussian beam), which are essential conditions for polarizing alkali metal atoms used in OPMs. Currently, the conventional approaches adopt a complex optical system involving beam shapers (i.e., spatial light modulators), waveplates, and additional functional lenses, which bring limitations of bulkiness, complex adjustments, and high cost in OPMs. Here, we report a new high-quality atom-manipulation approach using an angular-tilted Pancharatnam–Berry (PB) metasurface for high-sensitivity miniaturized OPMs. By precisely engineering the nanostructures of each amorphous silicon meta-atom, the metasurface is capable of efficiently converting incident light at a specific wavelength (770 nm) into a desired circularly polarized state with a predetermined deflection angle. Simultaneously, it has the ability to shape the wavefront to generate an ideal Gaussian profile, accurately achieving atom spin polarization for high-sensitivity miniaturized X-ray-guided OPMs. The deflection angle can efficiently eliminate zero-level noise and achieve full conversion. We experimentally found that the angular-tilted PB metasurface-based OPM with a potassium small vapor cell can implement a sensitivity lower than 400 fT/Hz1/2, which is higher performance than conventional optical methods. This approach provides a new perspective for miniaturized OPMs to precisely measure the magnetic field in various applications.","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":"221 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reconfigurable Electro-Optic FET Based on Ferroelectric Electrostatic Doping toward Optical Field Programmable Gate Arrays 基于铁电静电掺杂的可重构光电场效应晶体管，面向光场可编程门阵列

IF 6.5 1区物理与天体物理

ACS Photonics Pub Date : 2024-11-05 DOI: 10.1021/acsphotonics.4c0126010.1021/acsphotonics.4c01260

Yong Zhang, Feng Guo, Zheng-Dong Luo, Ruijuan Tian, Danyang Yao, Xiaoqing Chen, Cizhe Fang, Xuetao Gan*, Yan Liu*, Yue Hao and Genquan Han,

{"title":"Reconfigurable Electro-Optic FET Based on Ferroelectric Electrostatic Doping toward Optical Field Programmable Gate Arrays","authors":"Yong Zhang, Feng Guo, Zheng-Dong Luo, Ruijuan Tian, Danyang Yao, Xiaoqing Chen, Cizhe Fang, Xuetao Gan*, Yan Liu*, Yue Hao and Genquan Han, ","doi":"10.1021/acsphotonics.4c0126010.1021/acsphotonics.4c01260","DOIUrl":"https://doi.org/10.1021/acsphotonics.4c01260https://doi.org/10.1021/acsphotonics.4c01260","url":null,"abstract":"Silicon photonic integrated circuits have been extremely well developed and have gradually moved toward large-scale production. However, the limitations of current scaling have forced researchers to explore new avenues to achieve more compact integration and to develop more cost-effective silicon photonics components. Silicon photonic FPGAs are more area-efficient and flexible compared to traditional on-chip optical circuits due to their reconfigurable nature, which allows for the optimization of silicon photonic devices after fabrication. This feature enables a wide range of applications and performance requirements to be met with a single chip design, thereby reducing costs and enabling the rapid prototyping of new photonic circuits. Here, leveraging ferroelectric-doped graphene into a silicon field programmable gate array, we propose a compact reconfigurable electro-optical device with superior nonvolatility and reconfigurability, broadening the range of applications for programmable silicon photonics. Nonvolatile multilevel memory with electrical write and optical readout is implemented. This innovative memory system supports 10 distinct levels of electro-optical storage, providing enhanced capacity and flexibility. Carrier-enhanced and -depleted modes can be reconfigured by electrical programming on the same optical logic gate. Reconfigurable logic computing in the electronic and optical domain that takes advantage of this feature is demonstrated. Our work provides a compact new approach for programmable electro-optic field programmable gate arrays with low power consumption.","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":"11 11","pages":"4761–4768 4761–4768"},"PeriodicalIF":6.5,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142671619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Tunable Photoinduced Liquid Crystal Retarders for All-Optical Diffractive Deep Neural Networks 用于全光学衍射深度神经网络的可调光诱导液晶缓速器

IF 7 1区物理与天体物理

ACS Photonics Pub Date : 2024-11-05 DOI: 10.1021/acsphotonics.4c01284

Quanzhou Long, Lisheng Yao, Junjie Shao, Fion Sze Yan Yeung, Lingxiao Zhou, Wanlong Zhang, Xiaocong Yuan

{"title":"Tunable Photoinduced Liquid Crystal Retarders for All-Optical Diffractive Deep Neural Networks","authors":"Quanzhou Long, Lisheng Yao, Junjie Shao, Fion Sze Yan Yeung, Lingxiao Zhou, Wanlong Zhang, Xiaocong Yuan","doi":"10.1021/acsphotonics.4c01284","DOIUrl":"https://doi.org/10.1021/acsphotonics.4c01284","url":null,"abstract":"An all-optical diffractive deep neural network (D2NN) consists of deep-learning-based design of passive diffractive layers and uses light to perform massive computations at the speed of light with zero extra power consumption, exhibiting advantages of large bandwidth, high interconnection, and parallel processing capability. In this paper, we introduce a novel approach utilizing a 5-layer all-optical D2NN constructed with photoinduced liquid crystal (LC) alignment technology to create LC-based tunable phase retarders as artificial neural layers. The D2NN architecture leverages microscale multidomain LC retarders as optical neurons to manipulate the geometric phase of incident light. We systematically simulate pixel-level displacements to enhance alignment tolerance during experiments, achieving robust resilience against misalignment interference with a 2-pixel tolerance in the x and y directions. By actively tuning the LC retarders with external voltage, we optimize the alignment strategy for all network layers, incorporating specially designed concave or convex lenses at each LC retarder for precise alignment in the x, y, and z directions. Through training with a handwritten dataset from MNIST, the D2NN demonstrates a simulated accuracy of 94.17% with a 2 pixel misalignment tolerance. Experimental validation achieves a classification accuracy of 89% with 500 random digits from the test dataset. This research showcases the potential for network miniaturization, integration, and compatibility with visible light, underscoring the practical applicability of an all-optical D2NN for diverse real-world applications.","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":"55 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Tunable Photoinduced Liquid Crystal Retarders for All-Optical Diffractive Deep Neural Networks 用于全光学衍射深度神经网络的可调光诱导液晶缓速器

IF 6.5 1区物理与天体物理

ACS Photonics Pub Date : 2024-11-05 DOI: 10.1021/acsphotonics.4c0128410.1021/acsphotonics.4c01284

Quanzhou Long, Lisheng Yao, Junjie Shao, Fion Sze Yan Yeung, Lingxiao Zhou, Wanlong Zhang* and Xiaocong Yuan*,

{"title":"Tunable Photoinduced Liquid Crystal Retarders for All-Optical Diffractive Deep Neural Networks","authors":"Quanzhou Long, Lisheng Yao, Junjie Shao, Fion Sze Yan Yeung, Lingxiao Zhou, Wanlong Zhang* and Xiaocong Yuan*, ","doi":"10.1021/acsphotonics.4c0128410.1021/acsphotonics.4c01284","DOIUrl":"https://doi.org/10.1021/acsphotonics.4c01284https://doi.org/10.1021/acsphotonics.4c01284","url":null,"abstract":"An all-optical diffractive deep neural network (D2NN) consists of deep-learning-based design of passive diffractive layers and uses light to perform massive computations at the speed of light with zero extra power consumption, exhibiting advantages of large bandwidth, high interconnection, and parallel processing capability. In this paper, we introduce a novel approach utilizing a 5-layer all-optical D2NN constructed with photoinduced liquid crystal (LC) alignment technology to create LC-based tunable phase retarders as artificial neural layers. The D2NN architecture leverages microscale multidomain LC retarders as optical neurons to manipulate the geometric phase of incident light. We systematically simulate pixel-level displacements to enhance alignment tolerance during experiments, achieving robust resilience against misalignment interference with a 2-pixel tolerance in the x and y directions. By actively tuning the LC retarders with external voltage, we optimize the alignment strategy for all network layers, incorporating specially designed concave or convex lenses at each LC retarder for precise alignment in the x, y, and z directions. Through training with a handwritten dataset from MNIST, the D2NN demonstrates a simulated accuracy of 94.17% with a 2 pixel misalignment tolerance. Experimental validation achieves a classification accuracy of 89% with 500 random digits from the test dataset. This research showcases the potential for network miniaturization, integration, and compatibility with visible light, underscoring the practical applicability of an all-optical D2NN for diverse real-world applications.","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":"11 11","pages":"4778–4785 4778–4785"},"PeriodicalIF":6.5,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142671656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dual-Wavelength Exciton-Polariton Condensation via Relaxation of Multiple Vibrational Quanta in Organic Microcavities 通过有机微腔中多个振动量子的弛豫实现双波长激子-极化子凝聚

IF 7 1区物理与天体物理

ACS Photonics Pub Date : 2024-11-04 DOI: 10.1021/acsphotonics.4c01195

Liuqing Yang, Xuekai Ma, Teng Long, Han Huang, Jiahuan Ren, Chunling Gu, Cunbin An, Bo Liao, Hongbing Fu, Qing Liao

{"title":"Dual-Wavelength Exciton-Polariton Condensation via Relaxation of Multiple Vibrational Quanta in Organic Microcavities","authors":"Liuqing Yang, Xuekai Ma, Teng Long, Han Huang, Jiahuan Ren, Chunling Gu, Cunbin An, Bo Liao, Hongbing Fu, Qing Liao","doi":"10.1021/acsphotonics.4c01195","DOIUrl":"https://doi.org/10.1021/acsphotonics.4c01195","url":null,"abstract":"The relaxation of organic polaritons is a key aspect for understanding nonequilibrium bosonic condensation in organic microcavities. In this work, dual-branch vibrational quanta-assisted polariton condensation is experimentally observed in organic single-crystal-filled microcavities. By precisely modulating the thickness of the planar optical resonator, we can tune the ground states of two lower polariton branches to perfectly match the energies of two vibrational modes and consequently trigger polariton condensation in both branches. These condensates have nearly identical thresholds. Dynamical analysis indicates that efficient energy relaxation of the photogenerated excitons to the two vibrational modes through the nonradiation of two separately vibrational quanta enables polaritons to populate the ground states of these two lower polariton branches. Our work is evidence of the importance of the vibrational quanta relaxation mechanism for polariton condensation and provides a pathway for multicolor polariton condensation and future laser displays.","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":"196 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0