Information transfer in topological matter: how relativity speeds up memory

拓扑物质中的信息传递：相对论如何加速记忆

• 批准号: FT190100062
• 负责人: A/Prof Dimitrie Culcer
• 金额: $ 59.51万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: ARC Future Fellowships
• 财政年份: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-12-16 至 2024-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FT190100062
• 关键词: Information; transfer; topological; matter; how

In the 21st century our economy and security rely on fast information processing, which requires state-of-the-art computer memory. Emerging memory technologies rely on magnets, which retain data during power outages and switch faster than currently used semiconductor devices. This Fellowship will establish a breakthrough paradigm for ultra-fast information processing using magnets and newly-discovered topological materials. It will develop a computational tool to enhance the switching rate of devices incorporating topological materials that emulate industry blueprints for memory building blocks. If successful, it will vastly improve the speed and functionality of computer memory, logic elements, artificial intelligence devices and sensors.

在21世纪，我们的经济和安全依赖于快速信息处理，这需要最先进的计算机记忆。新兴的内存技术依赖于磁铁，该磁铁在停电过程中保留数据并比当前使用的半导体设备更快。该奖学金将建立使用磁铁和新发现的拓扑材料进行超快速信息处理的突破范式。它将开发一种计算工具，以增强设备的切换速率，其中包含拓扑材料，这些拓扑材料模拟了为存储器构建块的行业蓝图。如果成功，它将大大提高计算机内存，逻辑元素，人工智能设备和传感器的速度和功能。