Pub Date : 2024-11-11DOI: 10.1021/acsphotonics.4c0127810.1021/acsphotonics.4c01278
Wenjie He, Kang Zhang, Xi Zheng, Minghua Li, Zhijie Ke, Yijun Lu, Zhong Chen and Weijie Guo*,
AlGaInP-based red micro-light-emitting diodes (micro-LEDs) act as promising candidates for red emitters of ultra-high-resolution displays. However, as the size of micro-LEDs decreases, the impact of sidewall defects on the efficiency degradation becomes more pronounced. The reduction in the number of quantum wells (QWs) can alleviate the sidewall effect and increase the external quantum efficiency (EQE) of AlGaInP-based flip-chip red micro-LEDs at a low current density. At 300 K, the maximum EQE of micro-LEDs with 3 pairs of QWs is 1.45 times those with 5 pairs, and a considerable enhancement in sidewall emission has been witnessed according to hyperspectral microscopic imaging. These improvements originate from reduced carrier loss in the sidewall region and enhanced radiative recombination in micro-LEDs with 3 pairs of QWs.
基于 AlGaInP 的红色微型发光二极管(micro-LED)是超高分辨率显示器红色发射器的理想候选器件。然而,随着微型发光二极管尺寸的减小,侧壁缺陷对效率下降的影响变得更加明显。减少量子阱(QW)的数量可以缓解侧壁效应,并在低电流密度下提高基于 AlGaInP 的倒装芯片红色微型 LED 的外部量子效率(EQE)。在 300 K 时,具有 3 对 QW 的微型 LED 的最大 EQE 是具有 5 对 QW 的微型 LED 的 1.45 倍,而且根据高光谱显微成像,侧壁发射也有显著增强。这些改进源于采用 3 对 QW 的微型 LED 侧壁区域载流子损耗的减少和辐射重组的增强。
{"title":"Reduction in the Number of Quantum Wells Alleviates the Sidewall Effect in AlGaInP-Based Red Micro-LEDs","authors":"Wenjie He, Kang Zhang, Xi Zheng, Minghua Li, Zhijie Ke, Yijun Lu, Zhong Chen and Weijie Guo*, ","doi":"10.1021/acsphotonics.4c0127810.1021/acsphotonics.4c01278","DOIUrl":"https://doi.org/10.1021/acsphotonics.4c01278https://doi.org/10.1021/acsphotonics.4c01278","url":null,"abstract":"<p >AlGaInP-based red micro-light-emitting diodes (micro-LEDs) act as promising candidates for red emitters of ultra-high-resolution displays. However, as the size of micro-LEDs decreases, the impact of sidewall defects on the efficiency degradation becomes more pronounced. The reduction in the number of quantum wells (QWs) can alleviate the sidewall effect and increase the external quantum efficiency (EQE) of AlGaInP-based flip-chip red micro-LEDs at a low current density. At 300 K, the maximum EQE of micro-LEDs with 3 pairs of QWs is 1.45 times those with 5 pairs, and a considerable enhancement in sidewall emission has been witnessed according to hyperspectral microscopic imaging. These improvements originate from reduced carrier loss in the sidewall region and enhanced radiative recombination in micro-LEDs with 3 pairs of QWs.</p>","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":"11 11","pages":"4769–4777 4769–4777"},"PeriodicalIF":6.5,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142671223","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}
The advent of immune checkpoint blockade revolutionizes the landscape of cancer treatment. However, there are currently no biomarkers that can accurately predict the response of immunotherapy. In this work, we demonstrate label-free prediction of immunotherapy response in lung cancer using artificial intelligence-equipped multidimensional optical time-stretch imaging flow cytometry. First, the hypothesis of identifying immune activation of leukocytes via label-free images is confirmed using the in vitro coculture model. Then, with the support of the deep information mining capabilities of convolutional neural networks, we achieve prediction accuracies of 87 and 80% in lung cancer patients for the response and nonresponse to immunotherapy, respectively, significantly outperforming prediction using peripheral blood biomarkers. Furthermore, the experimental results on lung adenocarcinoma and lung squamous cell carcinoma patients show that our method is capable of predicting immunotherapy response with high accuracy across various types of lung cancer. We believe that our method can be applied to other types of cancer and will effectively enhance the specificity and efficacy of immunotherapy, thereby benefiting a large number of patients.
{"title":"Label-Free Prediction of Immunotherapy Response in Lung Cancer","authors":"Shubin Wei, Congkuan Song, Zhaoyi Ye, Yueyun Weng*, Liye Mei, Rubing Li, Ruopeng Yan, Yu Deng, Xiaohong Liu, Ximing Xu, Wei Wang, Du Wang, Sheng Liu, Qing Geng* and Cheng Lei*, ","doi":"10.1021/acsphotonics.4c0160810.1021/acsphotonics.4c01608","DOIUrl":"https://doi.org/10.1021/acsphotonics.4c01608https://doi.org/10.1021/acsphotonics.4c01608","url":null,"abstract":"<p >The advent of immune checkpoint blockade revolutionizes the landscape of cancer treatment. However, there are currently no biomarkers that can accurately predict the response of immunotherapy. In this work, we demonstrate label-free prediction of immunotherapy response in lung cancer using artificial intelligence-equipped multidimensional optical time-stretch imaging flow cytometry. First, the hypothesis of identifying immune activation of leukocytes via label-free images is confirmed using the <i>in vitro</i> coculture model. Then, with the support of the deep information mining capabilities of convolutional neural networks, we achieve prediction accuracies of 87 and 80% in lung cancer patients for the response and nonresponse to immunotherapy, respectively, significantly outperforming prediction using peripheral blood biomarkers. Furthermore, the experimental results on lung adenocarcinoma and lung squamous cell carcinoma patients show that our method is capable of predicting immunotherapy response with high accuracy across various types of lung cancer. We believe that our method can be applied to other types of cancer and will effectively enhance the specificity and efficacy of immunotherapy, thereby benefiting a large number of patients.</p>","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":"11 11","pages":"5000–5011 5000–5011"},"PeriodicalIF":6.5,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142671563","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}
Pub Date : 2024-11-10DOI: 10.1021/acsphotonics.4c01608
Shubin Wei, Congkuan Song, Zhaoyi Ye, Yueyun Weng, Liye Mei, Rubing Li, Ruopeng Yan, Yu Deng, Xiaohong Liu, Ximing Xu, Wei Wang, Du Wang, Sheng Liu, Qing Geng, Cheng Lei
The advent of immune checkpoint blockade revolutionizes the landscape of cancer treatment. However, there are currently no biomarkers that can accurately predict the response of immunotherapy. In this work, we demonstrate label-free prediction of immunotherapy response in lung cancer using artificial intelligence-equipped multidimensional optical time-stretch imaging flow cytometry. First, the hypothesis of identifying immune activation of leukocytes via label-free images is confirmed using the in vitro coculture model. Then, with the support of the deep information mining capabilities of convolutional neural networks, we achieve prediction accuracies of 87 and 80% in lung cancer patients for the response and nonresponse to immunotherapy, respectively, significantly outperforming prediction using peripheral blood biomarkers. Furthermore, the experimental results on lung adenocarcinoma and lung squamous cell carcinoma patients show that our method is capable of predicting immunotherapy response with high accuracy across various types of lung cancer. We believe that our method can be applied to other types of cancer and will effectively enhance the specificity and efficacy of immunotherapy, thereby benefiting a large number of patients.
{"title":"Label-Free Prediction of Immunotherapy Response in Lung Cancer","authors":"Shubin Wei, Congkuan Song, Zhaoyi Ye, Yueyun Weng, Liye Mei, Rubing Li, Ruopeng Yan, Yu Deng, Xiaohong Liu, Ximing Xu, Wei Wang, Du Wang, Sheng Liu, Qing Geng, Cheng Lei","doi":"10.1021/acsphotonics.4c01608","DOIUrl":"https://doi.org/10.1021/acsphotonics.4c01608","url":null,"abstract":"The advent of immune checkpoint blockade revolutionizes the landscape of cancer treatment. However, there are currently no biomarkers that can accurately predict the response of immunotherapy. In this work, we demonstrate label-free prediction of immunotherapy response in lung cancer using artificial intelligence-equipped multidimensional optical time-stretch imaging flow cytometry. First, the hypothesis of identifying immune activation of leukocytes via label-free images is confirmed using the <i>in vitro</i> coculture model. Then, with the support of the deep information mining capabilities of convolutional neural networks, we achieve prediction accuracies of 87 and 80% in lung cancer patients for the response and nonresponse to immunotherapy, respectively, significantly outperforming prediction using peripheral blood biomarkers. Furthermore, the experimental results on lung adenocarcinoma and lung squamous cell carcinoma patients show that our method is capable of predicting immunotherapy response with high accuracy across various types of lung cancer. We believe that our method can be applied to other types of cancer and will effectively enhance the specificity and efficacy of immunotherapy, thereby benefiting a large number of patients.","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":"2 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142598544","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}
Pub Date : 2024-11-10DOI: 10.1021/acsphotonics.4c0143310.1021/acsphotonics.4c01433
Minglu Cai, Tianyi Li, Xujia Zhang, Hongyi Zhang, Long Wang, Hao Li, Yuanlin Zheng, Xianfeng Chen, Jianping Chen and Kan Wu*,
Erbium-doped thin-film lithium niobate (Er:TFLN) provides efficient solutions for monolithic integrated waveguide amplifiers and lasers, as well as the potential for electro-optic modulation and nonlinear application. However, the gain and saturation absorption characteristics usually lack dynamic analysis, which is highly valuable for various gain devices. We provide a practical framework for correlating the erbium absorption and signal wavelength/power in the erbium-doped waveguide amplifier (EDWA) on the Er:TFLN platform, demonstrating the gain performance of single-wavelength or multiwavelength signal amplification. The 10 cm long Er:TFLN EDWA achieves 62.76 dB signal enhancement at 1531 nm, with 22.26 dB internal net gain at the small signal region. Additionally, a significant on-chip output power of 16.65 dBm with 7.65 dB internal net gain is realized at 1550 nm. Furthermore, theoretical models and experimental results have been conducted on signal saturation power, output power, and noise figure. In multiwavelength signal amplification experiments, approximately 20 dB internal net gain and a noise figure of 4.36 dB are achieved for an electro-optic frequency comb with a 10 GHz repetition rate. Moreover, an internal net gain exceeding 20 dB is achieved across 45% of C-band broadband signals, establishing a solid foundation for relay amplification applications in high-capacity and multichannel data transmission systems. The gain dynamics proposed in this work can be effectively applied to design optimal EDWAs and lasers to construct monolithic integrated lithium niobate systems.
掺铒铌酸锂薄膜(Er:TFLN)为单片集成波导放大器和激光器提供了高效的解决方案,并具有电光调制和非线性应用的潜力。然而,增益和饱和吸收特性通常缺乏动态分析,而动态分析对于各种增益器件非常有价值。我们在 Er:TFLN 平台上提供了掺铒波导放大器(EDWA)中铒吸收与信号波长/功率相关的实用框架,展示了单波长或多波长信号放大的增益性能。10 厘米长的 Er:TFLN EDWA 在 1531 nm 波长实现了 62.76 dB 的信号增强,在小信号区域实现了 22.26 dB 的内部净增益。此外,在 1550 nm 波段还实现了 16.65 dBm 的显著片上输出功率,内部净增益为 7.65 dB。此外,还对信号饱和功率、输出功率和噪声系数进行了理论建模并得出了实验结果。在多波长信号放大实验中,10 GHz 重复频率的电光频率梳实现了约 20 dB 的内部净增益和 4.36 dB 的噪声系数。此外,45% 的 C 波段宽带信号实现了超过 20 dB 的内部净增益,为大容量和多通道数据传输系统中的中继放大应用奠定了坚实的基础。这项工作中提出的增益动力学可有效地应用于设计最佳的 EDWA 和激光器,以构建单片集成的铌酸锂系统。
{"title":"Gain Dynamics in Integrated Waveguide Amplifier Based on Erbium-Doped Thin-Film Lithium Niobate","authors":"Minglu Cai, Tianyi Li, Xujia Zhang, Hongyi Zhang, Long Wang, Hao Li, Yuanlin Zheng, Xianfeng Chen, Jianping Chen and Kan Wu*, ","doi":"10.1021/acsphotonics.4c0143310.1021/acsphotonics.4c01433","DOIUrl":"https://doi.org/10.1021/acsphotonics.4c01433https://doi.org/10.1021/acsphotonics.4c01433","url":null,"abstract":"<p >Erbium-doped thin-film lithium niobate (Er:TFLN) provides efficient solutions for monolithic integrated waveguide amplifiers and lasers, as well as the potential for electro-optic modulation and nonlinear application. However, the gain and saturation absorption characteristics usually lack dynamic analysis, which is highly valuable for various gain devices. We provide a practical framework for correlating the erbium absorption and signal wavelength/power in the erbium-doped waveguide amplifier (EDWA) on the Er:TFLN platform, demonstrating the gain performance of single-wavelength or multiwavelength signal amplification. The 10 cm long Er:TFLN EDWA achieves 62.76 dB signal enhancement at 1531 nm, with 22.26 dB internal net gain at the small signal region. Additionally, a significant on-chip output power of 16.65 dBm with 7.65 dB internal net gain is realized at 1550 nm. Furthermore, theoretical models and experimental results have been conducted on signal saturation power, output power, and noise figure. In multiwavelength signal amplification experiments, approximately 20 dB internal net gain and a noise figure of 4.36 dB are achieved for an electro-optic frequency comb with a 10 GHz repetition rate. Moreover, an internal net gain exceeding 20 dB is achieved across 45% of C-band broadband signals, establishing a solid foundation for relay amplification applications in high-capacity and multichannel data transmission systems. The gain dynamics proposed in this work can be effectively applied to design optimal EDWAs and lasers to construct monolithic integrated lithium niobate systems.</p>","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":"11 11","pages":"4923–4932 4923–4932"},"PeriodicalIF":6.5,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142671631","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}
Pub Date : 2024-11-10DOI: 10.1021/acsphotonics.4c01433
Minglu Cai, Tianyi Li, Xujia Zhang, Hongyi Zhang, Long Wang, Hao Li, Yuanlin Zheng, Xianfeng Chen, Jianping Chen, Kan Wu
Erbium-doped thin-film lithium niobate (Er:TFLN) provides efficient solutions for monolithic integrated waveguide amplifiers and lasers, as well as the potential for electro-optic modulation and nonlinear application. However, the gain and saturation absorption characteristics usually lack dynamic analysis, which is highly valuable for various gain devices. We provide a practical framework for correlating the erbium absorption and signal wavelength/power in the erbium-doped waveguide amplifier (EDWA) on the Er:TFLN platform, demonstrating the gain performance of single-wavelength or multiwavelength signal amplification. The 10 cm long Er:TFLN EDWA achieves 62.76 dB signal enhancement at 1531 nm, with 22.26 dB internal net gain at the small signal region. Additionally, a significant on-chip output power of 16.65 dBm with 7.65 dB internal net gain is realized at 1550 nm. Furthermore, theoretical models and experimental results have been conducted on signal saturation power, output power, and noise figure. In multiwavelength signal amplification experiments, approximately 20 dB internal net gain and a noise figure of 4.36 dB are achieved for an electro-optic frequency comb with a 10 GHz repetition rate. Moreover, an internal net gain exceeding 20 dB is achieved across 45% of C-band broadband signals, establishing a solid foundation for relay amplification applications in high-capacity and multichannel data transmission systems. The gain dynamics proposed in this work can be effectively applied to design optimal EDWAs and lasers to construct monolithic integrated lithium niobate systems.
掺铒铌酸锂薄膜(Er:TFLN)为单片集成波导放大器和激光器提供了高效的解决方案,并具有电光调制和非线性应用的潜力。然而,增益和饱和吸收特性通常缺乏动态分析,而动态分析对于各种增益器件非常有价值。我们在 Er:TFLN 平台上提供了掺铒波导放大器(EDWA)中铒吸收与信号波长/功率相关的实用框架,展示了单波长或多波长信号放大的增益性能。10 厘米长的 Er:TFLN EDWA 在 1531 nm 波长实现了 62.76 dB 的信号增强,在小信号区域实现了 22.26 dB 的内部净增益。此外,在 1550 nm 波段还实现了 16.65 dBm 的显著片上输出功率,内部净增益为 7.65 dB。此外,还对信号饱和功率、输出功率和噪声系数进行了理论建模并得出了实验结果。在多波长信号放大实验中,10 GHz 重复频率的电光频率梳实现了约 20 dB 的内部净增益和 4.36 dB 的噪声系数。此外,在 45% 的 C 波段宽带信号中实现了超过 20 dB 的内部净增益,为大容量和多通道数据传输系统中的中继放大应用奠定了坚实的基础。这项工作中提出的增益动力学可有效地应用于设计最佳的 EDWA 和激光器,以构建单片集成的铌酸锂系统。
{"title":"Gain Dynamics in Integrated Waveguide Amplifier Based on Erbium-Doped Thin-Film Lithium Niobate","authors":"Minglu Cai, Tianyi Li, Xujia Zhang, Hongyi Zhang, Long Wang, Hao Li, Yuanlin Zheng, Xianfeng Chen, Jianping Chen, Kan Wu","doi":"10.1021/acsphotonics.4c01433","DOIUrl":"https://doi.org/10.1021/acsphotonics.4c01433","url":null,"abstract":"Erbium-doped thin-film lithium niobate (Er:TFLN) provides efficient solutions for monolithic integrated waveguide amplifiers and lasers, as well as the potential for electro-optic modulation and nonlinear application. However, the gain and saturation absorption characteristics usually lack dynamic analysis, which is highly valuable for various gain devices. We provide a practical framework for correlating the erbium absorption and signal wavelength/power in the erbium-doped waveguide amplifier (EDWA) on the Er:TFLN platform, demonstrating the gain performance of single-wavelength or multiwavelength signal amplification. The 10 cm long Er:TFLN EDWA achieves 62.76 dB signal enhancement at 1531 nm, with 22.26 dB internal net gain at the small signal region. Additionally, a significant on-chip output power of 16.65 dBm with 7.65 dB internal net gain is realized at 1550 nm. Furthermore, theoretical models and experimental results have been conducted on signal saturation power, output power, and noise figure. In multiwavelength signal amplification experiments, approximately 20 dB internal net gain and a noise figure of 4.36 dB are achieved for an electro-optic frequency comb with a 10 GHz repetition rate. Moreover, an internal net gain exceeding 20 dB is achieved across 45% of C-band broadband signals, establishing a solid foundation for relay amplification applications in high-capacity and multichannel data transmission systems. The gain dynamics proposed in this work can be effectively applied to design optimal EDWAs and lasers to construct monolithic integrated lithium niobate systems.","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":"6 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142598542","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}
Pub Date : 2024-11-09DOI: 10.1021/acsphotonics.4c01547
Rihito Tamura, Srinivasa Rao Allam, Natalia M. Litchinitser, Takashige Omatsu
Skyrmionic hopfions are three-dimensional quasiparticles discovered in liquid crystals and magnetic materials. Analogous optical hopfions have been studied theoretically and experimentally demonstrated; however, their experimental mapping in a material has been challenging due to their complicated, three-dimensional polarization textures. In this work, we demonstrate the direct projection of the polarization textures of optical hopfions on azopolymers to form surface relief structures via optical radiation pressure. This demonstration offers new insights into the interaction between topologically protected quasiparticles of light and matter.
{"title":"Three-Dimensional Projection of Optical Hopfion Textures in a Material","authors":"Rihito Tamura, Srinivasa Rao Allam, Natalia M. Litchinitser, Takashige Omatsu","doi":"10.1021/acsphotonics.4c01547","DOIUrl":"https://doi.org/10.1021/acsphotonics.4c01547","url":null,"abstract":"Skyrmionic hopfions are three-dimensional quasiparticles discovered in liquid crystals and magnetic materials. Analogous optical hopfions have been studied theoretically and experimentally demonstrated; however, their experimental mapping in a material has been challenging due to their complicated, three-dimensional polarization textures. In this work, we demonstrate the direct projection of the polarization textures of optical hopfions on azopolymers to form surface relief structures via optical radiation pressure. This demonstration offers new insights into the interaction between topologically protected quasiparticles of light and matter.","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":"16 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142596633","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}
Pub Date : 2024-11-09DOI: 10.1021/acsphotonics.4c0154710.1021/acsphotonics.4c01547
Rihito Tamura, Srinivasa Rao Allam, Natalia M. Litchinitser and Takashige Omatsu*,
Skyrmionic hopfions are three-dimensional quasiparticles discovered in liquid crystals and magnetic materials. Analogous optical hopfions have been studied theoretically and experimentally demonstrated; however, their experimental mapping in a material has been challenging due to their complicated, three-dimensional polarization textures. In this work, we demonstrate the direct projection of the polarization textures of optical hopfions on azopolymers to form surface relief structures via optical radiation pressure. This demonstration offers new insights into the interaction between topologically protected quasiparticles of light and matter.
{"title":"Three-Dimensional Projection of Optical Hopfion Textures in a Material","authors":"Rihito Tamura, Srinivasa Rao Allam, Natalia M. Litchinitser and Takashige Omatsu*, ","doi":"10.1021/acsphotonics.4c0154710.1021/acsphotonics.4c01547","DOIUrl":"https://doi.org/10.1021/acsphotonics.4c01547https://doi.org/10.1021/acsphotonics.4c01547","url":null,"abstract":"<p >Skyrmionic hopfions are three-dimensional quasiparticles discovered in liquid crystals and magnetic materials. Analogous optical hopfions have been studied theoretically and experimentally demonstrated; however, their experimental mapping in a material has been challenging due to their complicated, three-dimensional polarization textures. In this work, we demonstrate the direct projection of the polarization textures of optical hopfions on azopolymers to form surface relief structures via optical radiation pressure. This demonstration offers new insights into the interaction between topologically protected quasiparticles of light and matter.</p>","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":"11 11","pages":"4958–4965 4958–4965"},"PeriodicalIF":6.5,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acsphotonics.4c01547","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142671910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Optical Diffraction Neural Networks (DNNs), a subset of Optical Neural Networks (ONNs), show promise in mirroring the prowess of electronic networks. This study introduces the Hybrid Diffraction Neural Network (HDNN), a novel architecture that incorporates matrix multiplication into DNNs, synergizing the benefits of conventional ONNs with those of DNNs to surmount the modulation limitations inherent in optical diffraction neural networks. Utilizing a singular phase modulation layer and an amplitude modulation layer, the trained neural network demonstrated remarkable accuracies of 96.39 and 89% in digit recognition tasks in simulation and experiment, respectively. Additionally, we develop the Binning Design (BD) method, which effectively mitigates the constraints imposed by sampling intervals on diffraction units, substantially streamlining experimental procedures. Furthermore, we propose an On-chip HDNN that not only employs a beam-splitting phase modulation layer for enhanced integration level but also significantly relaxes device fabrication requirements, replacing metasurfaces with relief surfaces designed by 1-bit quantization. Besides, we conceptualized an all-optical HDNN-assisted lesion detection network, achieving detection outcomes that were 100% aligned with simulation predictions. This work not only advances the performance of DNNs but also streamlines the path toward industrial optical neural network production.
{"title":"Relief-Surface-Based On-Chip Hybrid Diffraction Neural Network Enabled by Authentic All-Optical Fully Connected Architecture","authors":"Haiqi Gao, Yu Shao, Yipeng Chen, Yujie Liu, Junren Wen, Haidong He, Yuchuan Shao, Yueguang Zhang, Weidong Shen, Chenying Yang","doi":"10.1021/acsphotonics.4c01342","DOIUrl":"https://doi.org/10.1021/acsphotonics.4c01342","url":null,"abstract":"Optical Diffraction Neural Networks (DNNs), a subset of Optical Neural Networks (ONNs), show promise in mirroring the prowess of electronic networks. This study introduces the Hybrid Diffraction Neural Network (HDNN), a novel architecture that incorporates matrix multiplication into DNNs, synergizing the benefits of conventional ONNs with those of DNNs to surmount the modulation limitations inherent in optical diffraction neural networks. Utilizing a singular phase modulation layer and an amplitude modulation layer, the trained neural network demonstrated remarkable accuracies of 96.39 and 89% in digit recognition tasks in simulation and experiment, respectively. Additionally, we develop the Binning Design (BD) method, which effectively mitigates the constraints imposed by sampling intervals on diffraction units, substantially streamlining experimental procedures. Furthermore, we propose an On-chip HDNN that not only employs a beam-splitting phase modulation layer for enhanced integration level but also significantly relaxes device fabrication requirements, replacing metasurfaces with relief surfaces designed by 1-bit quantization. Besides, we conceptualized an all-optical HDNN-assisted lesion detection network, achieving detection outcomes that were 100% aligned with simulation predictions. This work not only advances the performance of DNNs but also streamlines the path toward industrial optical neural network production.","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":"69 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142596710","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}
Pub Date : 2024-11-08DOI: 10.1021/acsphotonics.4c0139910.1021/acsphotonics.4c01399
Ze-Xian Chen, Dan Su, Jun Wang, Bo Yang, Pan-Qin Sun, Zong-Ru Yang, Lei Shi, Shan-Jiang Wang, Yi Yang, Ruo-Zhou Li and Tong Zhang*,
Disorder is often considered the opposite of order, lacking quantitative methods and being difficult to control. Disordered nanostructures can be conveniently prepared by bottom-up approaches, such as self-assembly, but their intrinsic randomness is often considered to lead to unpredictable results, impeding reproducibility and application. Here, we demonstrate that deterministic, angle-dependent visual appearances induced by specific correlated disorder can be achieved through bottom-up approaches, and reveal plenty of room for tailoring color appearance between order and random disorder. Two unprecedented iridescent visual appearances, backscattering iridescence (rainbow-like color transition covering more than five distinct colors at backscattering angles), and specular iridescent halo (gradual color changes in the visible light range around specular reflection direction), are proposed and demonstrated to be induced by correlated disorder at different degrees, which is regulated by interparticle distance. Besides elucidating the mechanism of iridescence generation, a comprehensive protocol for predicting the color appearance is established, and agrees well with experimental results. Combining bottom-up process, materials with low absorption, and tailored spatial disorder, we have endowed solar cells with colorful appearances, while maintaining the performance, which can serve as a solution for photovoltaic-integrated architectures and vehicles. This study advances the understanding of how disorder shapes color and angular appearance, and will find applications in energy photonics, dazzling arts, and anticounterfeiting.
{"title":"Tailored Iridescent Visual Appearance of Self-Assembled Correlated-Disordered Nanostructures","authors":"Ze-Xian Chen, Dan Su, Jun Wang, Bo Yang, Pan-Qin Sun, Zong-Ru Yang, Lei Shi, Shan-Jiang Wang, Yi Yang, Ruo-Zhou Li and Tong Zhang*, ","doi":"10.1021/acsphotonics.4c0139910.1021/acsphotonics.4c01399","DOIUrl":"https://doi.org/10.1021/acsphotonics.4c01399https://doi.org/10.1021/acsphotonics.4c01399","url":null,"abstract":"<p >Disorder is often considered the opposite of order, lacking quantitative methods and being difficult to control. Disordered nanostructures can be conveniently prepared by bottom-up approaches, such as self-assembly, but their intrinsic randomness is often considered to lead to unpredictable results, impeding reproducibility and application. Here, we demonstrate that deterministic, angle-dependent visual appearances induced by specific correlated disorder can be achieved through bottom-up approaches, and reveal plenty of room for tailoring color appearance between order and random disorder. Two unprecedented iridescent visual appearances, backscattering iridescence (rainbow-like color transition covering more than five distinct colors at backscattering angles), and specular iridescent halo (gradual color changes in the visible light range around specular reflection direction), are proposed and demonstrated to be induced by correlated disorder at different degrees, which is regulated by interparticle distance. Besides elucidating the mechanism of iridescence generation, a comprehensive protocol for predicting the color appearance is established, and agrees well with experimental results. Combining bottom-up process, materials with low absorption, and tailored spatial disorder, we have endowed solar cells with colorful appearances, while maintaining the performance, which can serve as a solution for photovoltaic-integrated architectures and vehicles. This study advances the understanding of how disorder shapes color and angular appearance, and will find applications in energy photonics, dazzling arts, and anticounterfeiting.</p>","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":"11 11","pages":"4894–4905 4894–4905"},"PeriodicalIF":6.5,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142671773","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}
Pub Date : 2024-11-08DOI: 10.1021/acsphotonics.4c0124810.1021/acsphotonics.4c01248
Lixin Liu, Jun Gou*, Han Dou, Chunyu Li, Xiutao Yang, Jiayue Han, Hang Yu, He Yu, Zhiming Wu, Yadong Jiang and Jun Wang,
Mid- and long-wave infrared photodetection is highly desired for various modern optoelectronic devices, but Si-based broadband photodetectors operating at room temperature remain challenging and are being extensively sought. In this paper, a Si-based photodetector with a broadband and fast photoresponse based on the photothermoelectric (PTE) effect of lead telluride (PbTe) film is demonstrated. Large-area, high-crystallinity PbTe film grown by a low-temperature, CMOS-compatible RF magnetron sputtering method is first reported for photodetection. The PbTe PTE photodetector surpasses the energy band gap limitation, operating even at wavelengths exceeding 10 μm. A rapid response time of less than 1 ms is obtained at 1310 nm, which is superior to those of most other reported PTE detectors. Furthermore, the development of a 5 × 5 array device shows a good photoresponse uniformity and demonstrates consistent mid-infrared imaging capabilities at room temperature. Excellent mechanical flexibility enables the integration of wearable optoelectronic devices. This pioneering research paves the way for significant advancements in Si-based broadband photodetector technologies, with potential applications in monolithic integrated detection and imaging systems that operate in visible- to long-wave infrared wavelengths at room temperature.
{"title":"Fast-Response, Broadband Si-Based Photothermoelectric Photodetector Based on RF-Sputtering PbTe Film","authors":"Lixin Liu, Jun Gou*, Han Dou, Chunyu Li, Xiutao Yang, Jiayue Han, Hang Yu, He Yu, Zhiming Wu, Yadong Jiang and Jun Wang, ","doi":"10.1021/acsphotonics.4c0124810.1021/acsphotonics.4c01248","DOIUrl":"https://doi.org/10.1021/acsphotonics.4c01248https://doi.org/10.1021/acsphotonics.4c01248","url":null,"abstract":"<p >Mid- and long-wave infrared photodetection is highly desired for various modern optoelectronic devices, but Si-based broadband photodetectors operating at room temperature remain challenging and are being extensively sought. In this paper, a Si-based photodetector with a broadband and fast photoresponse based on the photothermoelectric (PTE) effect of lead telluride (PbTe) film is demonstrated. Large-area, high-crystallinity PbTe film grown by a low-temperature, CMOS-compatible RF magnetron sputtering method is first reported for photodetection. The PbTe PTE photodetector surpasses the energy band gap limitation, operating even at wavelengths exceeding 10 μm. A rapid response time of less than 1 ms is obtained at 1310 nm, which is superior to those of most other reported PTE detectors. Furthermore, the development of a 5 × 5 array device shows a good photoresponse uniformity and demonstrates consistent mid-infrared imaging capabilities at room temperature. Excellent mechanical flexibility enables the integration of wearable optoelectronic devices. This pioneering research paves the way for significant advancements in Si-based broadband photodetector technologies, with potential applications in monolithic integrated detection and imaging systems that operate in visible- to long-wave infrared wavelengths at room temperature.</p>","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":"11 11","pages":"4751–4760 4751–4760"},"PeriodicalIF":6.5,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142671700","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}