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Programmable Amplitude‐Coding Metasurface with Multifrequency Modulations 具有多频率调制的可编程幅度编码超表面
Pub Date : 2021-05-07 DOI: 10.1002/aisy.202000260
Q. Hong, Qian Ma, Xinxin Gao, Che Liu, Qiang Xiao, Shabab Iqbal, T. Cui
Recently, programmable metasurfaces have aroused great attention for various applications such as beam manipulation, wireless communication, and holograms by modulating the spatial phase or amplitude. However, programmable amplitude‐coding modulations have rarely been investigated due to the difficulty in realizing dynamic control of amplitude. Herein, a real‐time programmable amplitude‐coding metasurface with multifrequency modulation is proposed by integrating PIN diodes and chip attenuators to the metaelement. The element is encoded as “11,” “10,” and “00,” corresponding to the ON/OFF states of two diodes. By switching the two states of the PIN diode, the metaelement exhibits distinctly reflected amplitude responses in three frequencies (2.98, 4.11, and 5.73 GHz). For the whole metasurface, the magnitude of the reflected beam can be modulated with some specific coding patterns. To verify the performance, six coding patterns with 10 × 10 metaelements are designed, and four of them are measured. Experimental results are fundamentally consistent with theoretical designs and simulations. Further a wireless communication demonstration is designed and implemented to perform direct modulation of digital signals without using mixers required in the conventional wireless communication systems. It is envisioned that this work will find applications in new architecture encrypted communication and imaging systems.
近年来,可编程超表面在波束操纵、无线通信、空间相位或振幅调制全息图等方面的应用引起了人们的广泛关注。然而,由于难以实现幅度的动态控制,可编程的幅度编码调制很少被研究。本文通过将PIN二极管和芯片衰减器集成到元元件中,提出了一种实时可编程的多频调制幅度编码元元件。该元素被编码为“11”、“10”和“00”,对应于两个二极管的ON/OFF状态。通过切换PIN二极管的两种状态,元元件在三个频率(2.98、4.11和5.73 GHz)上表现出明显的反射幅度响应。对于整个超表面,反射光束的大小可以用一些特定的编码模式来调制。为了验证其性能,设计了6种10 × 10元元素的编码模式,并对其中的4种编码模式进行了测试。实验结果与理论设计和仿真基本一致。此外,设计并实现了一种无线通信演示,以在不使用常规无线通信系统中所需的混频器的情况下执行数字信号的直接调制。预计这项工作将在新架构加密通信和成像系统中找到应用。
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引用次数: 15
Facile Manufacturing Route for Magneto‐Responsive Soft Actuators 磁响应式软执行器的简易制造路线
Pub Date : 2021-05-07 DOI: 10.1002/aisy.202000283
Julia A. Carpenter, T. Eberle, S. Schuerle, A. Rafsanjani, A. Studart
Magnetically driven soft actuators are unique because they are fast, remote‐controlled, conformal to rigid objects, and safe to interact with humans. Despite these multiple functionalities, a broader utilization of such actuators is hindered by the high cost and equipment‐intensive nature of currently available manufacturing processes. Herein, a simple fabrication route for magneto‐responsive soft actuators is described using cost‐effective and broadly available raw materials and equipment. The method utilizes castable silicone resins that are loaded with magnetic particles and subsequently magnetized under an external magnetic field. The experimental investigation of silicone‐based composites prepared with particles of distinct chemistries, sizes, and morphologies enables the identification of the raw materials and magnetization conditions required for the process. This leads to functional soft actuators with programmable magnetic patterns that are capable of performing pick‐and‐place, lifting, catching, and moving tasks under the remote action of an external magnetic field. By removing manufacturing hurdles associated with costly raw materials and equipment, the proposed approach is expected to facilitate the design, implementation, and exploitation of the unique functionalities of magneto‐controlled soft actuators in a wider number of applications.
磁驱动的软执行器是独一无二的,因为它们快速,远程控制,与刚性物体保形,并且与人类安全互动。尽管具有这些多种功能,但由于目前可用的制造工艺的高成本和设备密集性,阻碍了此类执行器的广泛应用。本文描述了一种简单的磁致响应软执行器的制造路线,使用具有成本效益和广泛可用的原材料和设备。该方法利用可浇注的硅树脂,其装载磁性颗粒并随后在外部磁场下磁化。用不同化学、尺寸和形态的颗粒制备的硅基复合材料的实验研究可以确定该工艺所需的原材料和磁化条件。这导致了具有可编程磁模式的功能性软执行器,能够在外部磁场的远程作用下执行拾取放置,提升,捕获和移动任务。通过消除与昂贵的原材料和设备相关的制造障碍,所提出的方法有望在更广泛的应用中促进磁控软执行器的独特功能的设计、实现和开发。
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引用次数: 12
Reprogrammable 3D Liquid‐Crystalline Actuators with Precisely Controllable Stepwise Actuation 可重新编程的3D液晶驱动器,具有精确可控的逐步驱动
Pub Date : 2021-05-06 DOI: 10.1002/aisy.202000249
Qiaomei Chen, Weiwei Li, Yen Wei, Yan Ji
Liquid‐crystalline elastomers (LCEs) are considered ideal soft actuator materials for a wide range of applications, especially the thriving soft robotics. However, 3D LCE actuators capable of precisely controllable stepwise actuation, which can enhance functionality and versatility of LCE robots for multifarious complicated applications, are still in urgent need for the reported LCE actuators mainly exploit the one‐step actuation upon the liquid‐crystallin (LC)‐isotropic phase transition temperature (Ti). Herein, a catalyst‐free LC‐vitrimer actuator with supercritical behavior is designed, which can perform precisely controllable stepwise actuation with extraordinary shape stability over a broad temperature range of about 70 °C. Moreover, supercritical behavior enables the actuator to be used in nematic phase, imparting the actuator with some extra advantages, such as higher mechanical strength and actuation stability, over the one used above Ti. Furthermore, the LCE can be reprogrammable into arbitrary 3D actuators, which can further be integrated into single‐material actuators with complex stepwise actuation, offering a generalized strategy of LCE actuators for sophisticated practical soft robots.
液晶弹性体(LCEs)被认为是广泛应用的理想软执行器材料,特别是蓬勃发展的软机器人。然而,目前所报道的LCE致动器主要是利用液晶(LC) -各向同性相变温度(Ti)的一步驱动,因此迫切需要能够精确控制逐步驱动的3D LCE致动器,以增强LCE机器人在各种复杂应用中的功能和通用性。本文设计了一种具有超临界行为的无催化剂LC - vitrimer致动器,该致动器可以在约70°C的宽温度范围内进行精确可控的逐步致动,并具有非凡的形状稳定性。此外,超临界性能使致动器能够在向列相中使用,赋予致动器一些额外的优势,例如更高的机械强度和致动稳定性,而不是在Ti上面使用的致动器。此外,LCE可以重新编程成任意的三维驱动器,进一步集成到具有复杂阶跃驱动的单材料驱动器中,为复杂的实用软机器人提供了LCE驱动器的通用策略。
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引用次数: 14
Piezoelectric‐Driven Self‐Sensing Leaf‐Mimic Actuator Enabled by Integration of a Self‐Healing Dielectric Elastomer and a Piezoelectric Composite 压电驱动的自传感叶片模拟驱动器由自愈合介电弹性体和压电复合材料集成而成
Pub Date : 2021-03-22 DOI: 10.1002/aisy.202000248
Min Pan, Chenggang Yuan, Tom Pickford, Jeff Tian, Christopher Ellingford, Ning Zhou, C. Bowen, C. Wan
Soft robots and devices exploit highly deformable materials that are capable of changes in shape to allow conformable physical contact for controlled manipulation. While soft robots are resilient to mechanical impact, they are susceptible to mechanical damage, such as tears and punctures. The development of self‐healing materials and actuators continues to attract increasing interest, in particular, with respect to integrating self‐healing polymers to create bioinspired soft self‐healing devices. Herein, a novel piezoelectric‐driven self‐healing leaf‐motion mimic actuator is designed by combining a thermoplastic methyl thioglycolate–modified styrene–butadiene–styrene (MGSBS) elastomer with a piezoelectric macrofiber composite (MFC) for self‐sensing applications. This article is the first demonstration of a self‐sensing and self‐healing actuator‐sensor system, which is driven by a piezoelectric actuator and can mimic leaf motion. The leaf‐motion actuator combines built‐in dynamic sensing and room‐temperature self‐healing capabilities to restore macroscale cutting damage with an intrinsically high bandwidth of up to 10 kHz. The feasibility and potential of the new actuator for use in complex soft autonomous systems are demonstrated. These new results help to address the emerging influence of self‐healing soft actuators and the challenges of sensing, actuation, and damage resistance in soft robotics.
软机器人和设备利用高度可变形的材料,这些材料能够改变形状,从而使控制操作的物理接触符合要求。虽然软体机器人对机械冲击有弹性,但它们很容易受到机械损伤,比如撕裂和穿刺。自修复材料和致动器的发展继续吸引越来越多的兴趣,特别是在集成自修复聚合物以创建仿生软自修复装置方面。本文设计了一种新型压电驱动的自修复叶片运动模拟驱动器,该驱动器将热塑性甲基巯基乙酸酯改性苯乙烯-丁二烯-苯乙烯(MGSBS)弹性体与用于自传感应用的压电超纤维复合材料(MFC)结合在一起。本文首次展示了一种自我感知和自我修复的致动器传感器系统,该系统由压电致动器驱动,可以模拟叶子的运动。叶片运动执行器结合了内置的动态传感和室温自修复能力,以恢复宏观尺度切割损伤,具有高达10 kHz的固有高带宽。验证了该驱动器应用于复杂软自主系统的可行性和潜力。这些新结果有助于解决自修复软致动器的新兴影响以及软机器人中传感、致动和抗损伤性的挑战。
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引用次数: 6
Interfacial Tension Modulation of Liquid Metal via Electrochemical Oxidation 电化学氧化对液态金属界面张力的调节
Pub Date : 2021-02-04 DOI: 10.1002/aisy.202100024
Minyung Song, K. Daniels, A. Kiani, Sahar Rashidnadimi, M. Dickey
Herein, this progress report summarizes recent studies of electrochemical oxidation to modulate the interfacial tension of gallium‐based alloys. These liquid alloys have the largest interfacial tension of any liquid at room temperature. The ability to modulate the tension offers the possibility to create forces that change the shape and position of small volumes of liquid metal. It has been known since the late 1800s that electrocapillarity—the use of potential to modulate the electric double layer on the surface of metals in electrolyte—lowers the interfacial tension of liquid metals. This phenomenon, however, can only achieve modest changes in interfacial tension since it is limited to potentials that avoid Faradaic reactions. A recent discovery suggests reactions driven by the electrochemical oxidation of gallium alloys cause the interfacial tension to decrease from ≈500 mN m−1 at 0 V to ≈0 mN m−1 at less than 1 V. This change in interfacial tension is reversible, controllable, and goes well‐beyond what is possible via conventional electrocapillarity or surfactants. This report aims to introduce beginners to this field and address misconceptions. The report discusses applications that utilize modulations in interfacial tension of liquid metal and concludes with remaining opportunities and challenges needing further investigation.
本文综述了电化学氧化调节镓基合金界面张力的最新研究进展。这些液态合金在室温下具有所有液体中最大的界面张力。调节张力的能力提供了产生改变小体积液态金属形状和位置的力的可能性。自19世纪晚期以来,人们就知道电毛细管作用——利用电位调节电解液中金属表面的双电层——降低了液态金属的界面张力。然而,这种现象只能实现界面张力的适度变化,因为它仅限于避免法拉第反应的电位。最近的一项发现表明,由镓合金的电化学氧化驱动的反应导致界面张力从0 V时的≈500 mN m−1降至低于1 V时的≈0 mN m−1。这种界面张力的变化是可逆的、可控的,并且远远超出了传统的电毛细作用或表面活性剂所能达到的效果。本报告旨在向初学者介绍这一领域,并解决误解。该报告讨论了利用液态金属界面张力调制的应用,并总结了需要进一步研究的机会和挑战。
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引用次数: 37
Soft Touch using Soft Pneumatic Actuator–Skin as a Wearable Haptic Feedback Device 使用软气动致动器-皮肤作为可穿戴触觉反馈装置的软触觉
Pub Date : 2021-01-25 DOI: 10.1002/aisy.202000168
H. Sonar, Jian-Lin Huang, J. Paik
Understanding the external environment depends heavily on vision, audition, and touch. Like vision and audition, the human sense of touch is complex. Tactile perception is composed of multiple fundamental and physical experiences felt as changes in stiffness, texture, shape, size, temperature, and weight by the skin. While researchers and industries have made continuous efforts to abstract and recreate these haptic experiences, haptic devices are still limited in invoking intricate and rich sensations. Herein, the design, model, and experimental validation of a wearable skin‐like interface, able to recreate the roughness, shape, and size of a perceived object is presented; a platform for an interactive “physical” experience. The cogency of immersion through tactile feedback on moldable clay by the user response from the active haptic feedback, is examined. For the experimental test, a soft pneumatic actuator (SPA)‐skin interface (90 Hz bandwidth) with a complex actuation pattern is prototyped. The SPA‐skin's performance using three sets of simulated textures (<300 μm) and for reconstructing simulated contours (of a rectangle, circle, or trapezoid) in the virtual reality (VR) platform is investigated. The experimental results demonstrated for the first time how artificially created tactile feedback can indeed simulate physical interaction, with 83% average accuracy for contour reconstruction.
理解外部环境在很大程度上依赖于视觉、听觉和触觉。像视觉和听觉一样,人类的触觉也是复杂的。触觉知觉是由皮肤感受到的硬度、质地、形状、大小、温度和重量等多种基本和物理体验组成的。虽然研究人员和工业界一直在努力抽象和重建这些触觉体验,但触觉设备在唤起复杂而丰富的感觉方面仍然受到限制。在此,设计,模型和实验验证的可穿戴皮肤样界面,能够重建的粗糙度,形状和感知对象的大小;一个互动“物理”体验的平台。通过主动触觉反馈的用户反应,对可塑粘土上的触觉反馈进行沉浸的可信性进行了检验。为了进行实验测试,制作了具有复杂驱动模式的软气动执行器(SPA) -皮肤接口(90 Hz带宽)的原型。研究了SPA‐skin在虚拟现实(VR)平台中使用三组模拟纹理(<300 μm)和重建模拟轮廓(矩形、圆形或梯形)的性能。实验结果首次证明,人工创造的触觉反馈确实可以模拟物理交互,轮廓重建的平均准确率为83%。
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引用次数: 12
SensAct: The Soft and Squishy Tactile Sensor with Integrated Flexible Actuator SensAct:柔软柔软的触觉传感器,集成柔性执行器
Pub Date : 2021-01-21 DOI: 10.1002/aisy.201900145
Oliver Ozioko, Prakash Karipoth, P. Escobedo, M. Ntagios, A. Pullanchiyodan, R. Dahiya
Herein, a novel tactile sensing device (SensAct) with a soft touch/pressure sensor seamlessly integrated on a flexible actuator is presented. The squishy touch sensor is developed with custom‐made graphite paste on a tiny permanent magnet, encapsulated in Sil‐Poxy, and the actuator (15 μ‐thick coil) is fabricated on polyimide by Lithographie Galvanoformung Abformung (LIGA) micromolding method. The actuator can operate in two modes (expansion and contraction/squeeze) and two states (vibration and nonvibration). The sensor was tested with up to 12 N applied forces and exhibited ≈70% average relative resistance variation (ΔR/Ro), ≈0.346 kPa−1 sensitivity, and ≈49 ms response time with excellent repeatability (≈12.7% coefficient of variation) at 5 N. During simultaneous sensing and actuation, the modulation of coil current, due to ΔR/Ro (≈14% at 2 N force) in the sensor, allows the close loop control (ΔI/Io ≈385%) of expansion/contraction (≈69.8 μm expansion in nonvibration state and ≈111.5 μm peak‐to‐peak in the vibration state). Finally, the soft sensor is embedded in the 3D‐printed fingertip of a robotic hand to demonstrate its use for pressure mapping along with remote vibrotactile stimulation using SensAct device. The self‐controllable actuation of SensAct could provide eSkin the ability to tune stiffness and the vibration states could be utilized for controlled haptic feedback.
本文提出了一种新型的触觉传感装置(SensAct),该装置将软触/压力传感器无缝集成在柔性执行器上。这种柔软的触摸传感器是用定制的石墨膏在一个微小的永磁体上开发的,用硅环氧树脂封装,执行器(15 μ厚的线圈)是用聚酰亚胺通过Lithographie Galvanoformung Abformung (LIGA)微成型方法制造的。执行器可以在两种模式(膨胀和收缩/挤压)和两种状态(振动和非振动)下工作。该传感器在高达12 N的作用力下测试,在5 N下具有≈70%的平均相对阻力变化(ΔR/Ro),≈0.346 kPa−1的灵敏度和≈49 ms的响应时间,具有优异的重复性(≈12.7%的变异系数)。在同步传感和驱动过程中,由于传感器中ΔR/Ro(在2n力下≈14%)对线圈电流的调制,使得闭环控制(ΔI/Io≈385%)的膨胀/收缩(非振动状态下≈69.8 μm的膨胀,振动状态下≈111.5 μm的峰对峰)成为可能。最后,软传感器被嵌入到3D打印的机械人手的指尖,以演示其用于压力映射以及使用SensAct设备的远程振动触觉刺激。SensAct的自可控驱动可以为eSkin提供调整刚度的能力,并且振动状态可以用于可控的触觉反馈。
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引用次数: 48
Vowel Sound Synthesis from Electroencephalography during Listening and Recalling 听和回忆过程中脑电图的元音合成
Pub Date : 2021-01-07 DOI: 10.1002/aisy.202000164
Wataru Akashi, H. Kambara, Yousuke Ogata, Y. Koike, L. Minati, N. Yoshimura
Recent advances in brain imaging technology have furthered our knowledge of the neural basis of auditory and speech processing, often via contributions from invasive brain signal recording and stimulation studies conducted intraoperatively. Herein, an approach for synthesizing vowel sounds straightforwardly from scalp‐recorded electroencephalography (EEG), a noninvasive neurophysiological recording method is demonstrated. Given cortical current signals derived from the EEG acquired while human participants listen to and recall (i.e., imagined) two vowels, /a/ and /i/, sound parameters are estimated by a convolutional neural network (CNN). The speech synthesized from the estimated parameters is sufficiently natural to achieve recognition rates >85% during a subsequent sound discrimination task. Notably, the CNN identifies the involvement of the brain areas mediating the “what” auditory stream, namely the superior, middle temporal, and Heschl's gyri, demonstrating the efficacy of the computational method in extracting auditory‐related information from neuroelectrical activity. Differences in cortical sound representation between listening versus recalling are further revealed, such that the fusiform, calcarine, and anterior cingulate gyri contributes during listening, whereas the inferior occipital gyrus is engaged during recollection. The proposed approach can expand the scope of EEG in decoding auditory perception that requires high spatial and temporal resolution.
脑成像技术的最新进展进一步加深了我们对听觉和言语处理的神经基础的认识,这通常是通过侵入性脑信号记录和术中进行的刺激研究来实现的。本文展示了一种直接从头皮记录的脑电图(EEG)合成元音的方法,这是一种无创的神经生理学记录方法。当受试者听和回忆(即想象)两个元音/a/和/i/时,获得脑电皮层电流信号,通过卷积神经网络(CNN)估计声音参数。根据估计的参数合成的语音足够自然,可以在随后的声音识别任务中实现>85%的识别率。值得注意的是,CNN识别了参与“什么”听觉流的大脑区域,即上颞叶、中颞叶和Heschl’s gyri,证明了计算方法在从神经电活动中提取听觉相关信息方面的有效性。进一步揭示了倾听和回忆在皮层声音表征上的差异,如纺锤状回、肌动回和前扣带回在倾听过程中起作用,而枕下回在回忆过程中起作用。该方法可以扩大脑电在高时空分辨率听觉感知解码中的应用范围。
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引用次数: 0
Artificial‐Intelligence‐Enabled Reagent‐Free Imaging Hematology Analyzer 人工智能-启用试剂-无成像血液学分析仪
Pub Date : 2020-12-15 DOI: 10.1002/aisy.202000277
Xin Shu, S. Sansare, Di Jin, Xiang-Hui Zeng, K. Tong, Rishikesh Pandey, R. Zhou
Leukocyte differential test is a widely carried out clinical procedure for screening infectious diseases. Existing hematology analyzers require labor‐intensive work and a panel of expensive reagents. Herein, an artificial‐intelligence‐enabled reagent‐free imaging hematology analyzer (AIRFIHA) modality is reported that can accurately classify subpopulations of leukocytes with minimal sample preparation. AIRFIHA is realized through training a two‐step residual neural network using label‐free images of isolated leukocytes acquired from a custom‐built quantitative phase microscope. By leveraging the rich information contained in quantitative phase images, not only high accuracy is achieved in differentiating B and T lymphocytes, but also CD4 and CD8 T cells are classified, therefore outperforming the classification accuracy of most current hematology analyzers. The performance of AIRFIHA in a randomly selected test set is validated and is cross‐validated across all blood donors. Due to its easy operation, low cost, and accurate discerning capability of complex leukocyte subpopulations, AIRFIHA is clinically translatable and can also be deployed in resource‐limited settings, e.g., during pandemic situations for the rapid screening of infectious diseases.
白细胞鉴别检查是临床广泛采用的传染病筛查方法。现有的血液学分析仪需要劳动密集型工作和一组昂贵的试剂。本文报道了一种人工智能启用的无试剂成像血液学分析仪(AIRFIHA)模式,该模式可以用最少的样品制备准确地分类白细胞亚群。AIRFIHA是通过训练一个两步残差神经网络来实现的,该神经网络使用了从定制的定量相显微镜获得的分离白细胞的无标签图像。利用定量相位图像所包含的丰富信息,不仅对B淋巴细胞和T淋巴细胞的区分具有较高的准确性,而且对CD4和CD8 T细胞进行了分类,因此优于目前大多数血液学分析仪的分类精度。在随机选择的测试集中验证AIRFIHA的性能,并在所有献血者中交叉验证。由于其操作简单、成本低、对复杂白细胞亚群的准确识别能力,AIRFIHA具有临床可翻译性,也可在资源有限的环境中部署,例如,在大流行情况下快速筛查传染病。
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引用次数: 22
Self‐Driven Multistep Quantum Dot Synthesis Enabled by Autonomous Robotic Experimentation in Flow 自驱动多步量子点合成在流动中的自主机器人实验实现
Pub Date : 2020-12-10 DOI: 10.1002/aisy.202000245
Kameel Abdel-latif, Robert W. Epps, Fazel Bateni, Suyong Han, Kristofer G. Reyes, M. Abolhasani
Identifying the optimal formulation of emerging inorganic lead halide perovskite quantum dots (LHP QDs) with their vast colloidal synthesis universe and multiple synthesis/postsynthesis processing parameters is a challenging undertaking for material‐ and time‐intensive, batch synthesis strategies. Herein, a modular microfluidic synthesis strategy, integrated with an artificial intelligence (AI)‐guided decision‐making agent for intelligent navigation through the complex colloidal synthesis universe of LHP QDs with 10 individually controlled synthesis parameters and an accessible parameter space exceeding 2 × 107, is introduced. Utilizing the developed autonomous microfluidic experimentation strategy within a global learning framework, the optimal formulation of LHP QDs is rapidly identified through a two‐step colloidal synthesis and postsynthesis halide exchange reaction, for 10 different emission colors in less than 40 min per desired peak emission energy. Using two in‐series microfluidic reactors enables continuous bandgap engineering of LHP QDs via in‐line halide exchange reactions without the need for an intermediate washing step. Using an inert gas within a three‐phase flow format enables successful, self‐synchronized continuous delivery of halide salt precursor into moving droplets containing LHP QDs, resulting in accelerated closed‐loop formulation optimization and end‐to‐end continuous manufacturing of LHP QDs with desired optoelectronic properties.
新兴的无机卤化铅钙钛矿量子点(LHP QDs)具有广阔的胶体合成宇宙和多种合成/合成后处理参数,确定其最佳配方对于材料和时间密集型的批量合成策略来说是一项具有挑战性的任务。本文介绍了一种模块化微流控合成策略,结合人工智能(AI)引导的决策代理,用于在LHP量子点复杂的胶体合成宇宙中进行智能导航,该宇宙具有10个单独控制的合成参数,可访问参数空间超过2 × 107。利用在全局学习框架内开发的自主微流控实验策略,通过两步胶体合成和合成后卤化物交换反应快速确定了LHP量子点的最佳配方,每个所需峰值发射能量在不到40分钟内产生10种不同的发射颜色。使用两个串联的微流控反应器可以通过在线卤化物交换反应实现LHP量子点的连续带隙工程,而无需中间洗涤步骤。在三相流格式中使用惰性气体,可以成功地、自同步地将卤化物盐前驱体连续输送到含有LHP量子点的移动液滴中,从而加速闭环配方优化和端到端连续制造具有所需光电性能的LHP量子点。
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引用次数: 43
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Advanced Intelligent Systems
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