Programmable Ferroelectric Nanoelectronics for In-memory Computing

用于内存计算的可编程铁电纳米电子学

• 批准号: DP240102137
• 负责人: Dr Pankaj Sharma
• 金额: $ 25.39万
• 依托单位: Flinders University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP240102137
• 关键词: Programmable; Ferroelectric; Nanoelectronics; memory; Computing

The project aims to explore and develop the next-generation ferroelectric memory addressing the energy and speed issues of computers. Modern digital computers are notoriously energy consuming and slow, especially, when performing data-intensive tasks, e.g. identifying images and making decisions. This gap will be bridged by advancing novel ferroelectric quantum memory concepts and prototypes. Expected outcomes include new memory design, material principles and ferroelectric devices capable of not only storing huge amounts of data but also instant fast processing and brain like learning. Project benefits include high performance hardware solutions for Artificial Intelligence and Big data boosting Australian quantum technology and industries.

该项目旨在探索和开发下一代铁电存储器，解决计算机的能量和速度问题。现代数字计算机是众所周知的能耗和速度慢，特别是在执行数据密集型任务时，例如识别图像和做出决策。这一差距将通过推进新的铁电量子存储器概念和原型来弥合。预期成果包括新的存储器设计，材料原理和铁电设备，不仅能够存储大量数据，而且能够即时快速处理和大脑学习。项目的好处包括人工智能和大数据的高性能硬件解决方案，推动澳大利亚量子技术和产业的发展。