MANNGA: MAGNONIC ARTIFICIAL NEURAL NETWORKS AND GATE ARRAYS

我们寻求探索和挑战基于自旋的器件及其能效的极限。这将通过结合两种固有的节能技术范式来实现：（一）磁振子（使用自旋波-低能磁激励-处理信号和数据）和（二）神经形态计算（使用大规模集成系统和模拟电路以类似大脑的方式解决数据驱动的问题）。我们将使用纳米级手性磁振子共振器作为人工神经网络的构建模块。网络的力量将通过创建现场可编程门阵列、水库计算机和递归神经网络的磁振子版本来展示。这些器件的最终效率将通过以下方式实现：（a）最大化它们的磁非线性;（B）使用具有已知最低磁阻尼的外延钇铁石榴石用于薄膜磁振子介质和谐振器;以及（c）使用无线电力输送。对谐振器的微磁状态敏感，这种人工神经网络将在现有的磁数据存储范例中方便地编程和训练。后者包括磁性随机存取存储器（MRAM），它已经与CMOS兼容，而与自旋电子学的其他技术范式的兼容性也将寻求，探索和开发。因此，我们提出的非常具有前瞻性的研究计划的主要目标是开发和建立一种新型的，革命性的节能自旋组件和设备，用于绿色高科技数据通信，处理和存储技术，从而帮助释放自旋电子学的全部潜力。我们将寻求向感兴趣的欧洲和国际公司传播我们开发和适当保护的设计，工艺和技术，从而提高欧洲高科技产业的竞争力。

We seek to explore and challenge the limits of spin-based devices and their energy efficiency. This will be achieved by combining two inherently energy-efficient technology paradigms: (i) magnonics (using spin waves – low energy magnetic excitations – to process signals and data) and (ii) neuromorphic computing (using large-scale integrated systems and analog circuits to solve data-driven problems in a brain-like manner). We will use nanoscale chiral magnonic resonators as building blocks of artificial neural networks. The power of the networks will be demonstrated by creating magnonics versions of field programmable gate arrays, reservoir computers, and recurrent neural networks. The ultimate efficiency of the devices will be achieved by (a) maximising their magnetic nonlinearity; (b) using epitaxial yttrium iron garnet, which has the lowest known magnetic damping, for thin film magnonic media and resonators; and (c) using wireless delivery of power. Sensitive to the resonators’ micromagnetic states, such artificial neural networks will be conveniently programmable and trainable within existing paradigms of magnetic data storage. The latter includes magnetic random-access memory (MRAM), which is already compatible with CMOS, while compatibility with other technology paradigms of spintronics will also be sought, explored, and exploited. Thereby, the key ambition of our proposed very forward-looking research programme is to develop and establish a novel, revolutionary class of energy-efficient spin-based components and devices for use in green high-tech data communication, processing, and storage technologies, thereby helping unlock the full potential of spintronics. We will seek dissemination of our developed and appropriately protected designs, processes, and technologies to interested European and international companies, thereby improving the competitiveness of the European high-tech industry.