FMSG: Cyber: 3D Printing of Holographic Optical Processors

FMSG：网络：全息光学处理器的 3D 打印

• 批准号: 2328362
• 负责人: Huachao Mao
• 金额: $ 49.78万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2328362&HistoricalAwards=false
• 关键词: FMSG; Cyber; 3D; Printing; Holographic

Optical processors are computing devices that use light, rather than electricity, for sensing and processing images. Layers of gratings mimic the structure of neural networks, guide the paths of light through these layers via diffraction, and achieve low-latency and low-power computation. This technology provides a promising alternative to the existing computer vision methods, which are subject to delays caused by massive computations (billions of parameters) at high frame rates. This Future Manufacturing Seed Grant (FMSG) project will investigate the additive manufacturing of holographic optical processors and enable computer vision with minimal or no computational time. If successful, this project will generate new knowledge about high-resolution manufacturing, and lead to more affordable next-generation computing devices. The increased computation capability will potentially transform multiple fields, from artificial intelligence to quantum computing, cybersecurity to next-generation communications. This project will stimulate the interest in STEM education at the interface of future manufacturing and artificial intelligence, and contribute to workforce development in both areas.This project aims to establish a holographically-assisted Vat Photopolymerization (H-VPP) process, by combining high-throughput microscale VPP with the nanoscale holographic recording process. H-VPP fabricates billions of volumetric diffractive gratings, in place of interference-patterned refractive indices, allowing for high-resolution optical structures with a large number of layers to form complex optical pathways. Several fundamental research questions to be addressed include: (1) elucidating how transparent photocurable resins can be used for printing holographic devices, (2) investigating how nanoscale refractive index modulation can be achieved by adding extra laser beams to interfere with the projected mask-images, and (3) inversely designing the mask image patterns using the back-propagation algorithm in deep learning. This research will gain new knowledge about the relationship among the holographic process, optical structure, and processor performance. Though this project focuses on VPP, the resulting science will advance the understanding of other polymer-based high-resolution manufacturing processes. This Future Manufacturing award was supported by Division of Civil, Mechanical and Manufacturing Innovation.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

光学处理器是使用光而不是电的计算设备来传感和处理图像。光栅层模仿神经网络的结构，通过衍射通过这些层指导光路径，并实现低延迟和低功率计算。该技术为现有的计算机视觉方法提供了一种有希望的替代方法，该方法受到高帧速率的大规模计算（数十亿个参数）造成的延迟。这个未来的制造种子赠款（FMSG）项目将调查全息光处理器的添加剂制造，并以最小或没有计算时间的方式实现计算机视觉。如果成功，该项目将产生有关高分辨率制造业的新知识，并导致更实惠的下一代计算设备。提高的计算能力将有可能改变多个领域，从人工智能到量子计算，网络安全到下一代通信。该项目将在未来的制造和人工智能的界面上刺激对STEM教育的兴趣，并在这两个领域有助于劳动力发展。本项目旨在通过将高通量显微镜VPP与Nananoscale Holograpraphic Records Process Process Process Ictucts Process Introperts Process结合来建立全息辅助的VAT光聚合（H-VPP）过程。 H-VPP制造数十亿个体积衍射光栅，代替干扰图案的折射率，允许具有大量层的高分辨率光学结构形成复杂的光学途径。 Several fundamental research questions to be addressed include: (1) elucidating how transparent photocurable resins can be used for printing holographic devices, (2) investigating how nanoscale refractive index modulation can be achieved by adding extra laser beams to interfere with the projected mask-images, and (3) inversely designing the mask image patterns using the back-propagation algorithm in deep 学习。这项研究将获得有关全息过程，光学结构和处理器性能之间关系的新知识。尽管该项目侧重于VPP，但由此产生的科学将促进对其他基于聚合物的高分辨率制造过程的理解。这项未来的制造奖得到了民事，机械和制造创新部的支持。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响评估标准，被视为值得通过评估来支持。