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世纪的世纪，我们的经济和安全依赖于快速的信息处理，这需要最先进的计算机存储器。新兴的存储器技术依赖于磁铁，它在断电时保留数据，并且比目前使用的半导体设备切换得更快。该奖学金将使用磁铁和新发现的拓扑材料为超快信息处理建立突破性范例。它将开发一种计算工具，以提高包含拓扑材料的设备的开关速率，这些材料模仿存储器构建模块的工业蓝图。如果成功，它将极大地提高计算机内存、逻辑元件、人工智能设备和传感器的速度和功能。