Non-linear 2D-material integrated photonics

非线性二维材料集成光子学

• 批准号: 2503837
• 金额: --
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2503837
• 关键词: Non; linear; 2D; material; integrated

Light-based information processing possesses the potential for beyond-Moore computational architectures and complementing or even replacing traditional approaches such as the von Neumann architecture. However, equivalent to the transistor as a fundamental building block in electrical circuits and chips, photonic circuits require controllable non-linear elements and devices to process data.The student will study the feasibility of co-integrating CMOS-technology based photonic structures such as waveguides, modulators and photonic crystals with 2D-materials to investigate, exploit and enhance the inherently large non-linear properties of 2D-materials for active photonic devices. Starting from theoretical investigations (simulations) of potential device architectures, the student will fabricate and characterize these structures and evaluate their potential as building blocks for optical computing.The research will contribute to further understanding and suitability of photonic structures for novel information processing architectures. In particular, the exponentially growing demand in computing power for artificial intelligence (AI) requires novel neuromorphic hardware architectures, which can potentially be addressed by optical computing.

基于光的信息处理具有超越摩尔计算架构的潜力，并补充甚至取代传统的方法，如冯诺依曼架构。然而，相当于晶体管作为电子电路和芯片的基本构建块，光子电路需要可控的非线性元件和器件来处理数据。学生将研究基于CMOS技术的光子结构（如波导，调制器和光子晶体）与二维材料共同集成的可行性，利用和增强用于有源光子器件的2D材料的固有的大的非线性特性。从潜在器件架构的理论研究（模拟）开始，学生将制造和表征这些结构，并评估它们作为光学计算构建模块的潜力。研究将有助于进一步理解和适用于新型信息处理架构的光子结构。特别是，人工智能（AI）计算能力的指数增长需求需要新的神经形态硬件架构，这可能通过光学计算来解决。