Wang Qi, Chumak Andrii V, Pirro Philipp
Faculty of Physics, University of Vienna, Vienna, Austria.
Fachbereich Physik and Landesforschungszentrum OPTIMAS, Technische Universität Kaiserslautern, Kaiserslautern, Germany.
Nat Commun. 2021 May 11;12(1):2636. doi: 10.1038/s41467-021-22897-4.
The field of magnonics offers a new type of low-power information processing, in which magnons, the quanta of spin waves, carry and process data instead of electrons. Many magnonic devices were demonstrated recently, but the development of each of them requires specialized investigations and, usually, one device design is suitable for one function only. Here, we introduce the method of inverse-design magnonics, in which any functionality can be specified first, and a feedback-based computational algorithm is used to obtain the device design. We validate this method using the means of micromagnetic simulations. Our proof-of-concept prototype is based on a rectangular ferromagnetic area that can be patterned using square-shaped voids. To demonstrate the universality of this approach, we explore linear, nonlinear and nonreciprocal magnonic functionalities and use the same algorithm to create a magnonic (de-)multiplexer, a nonlinear switch and a circulator. Thus, inverse-design magnonics can be used to develop highly efficient rf applications as well as Boolean and neuromorphic computing building blocks.
磁振子学领域提供了一种新型的低功耗信息处理方式，其中，作为自旋波量子的磁振子携带和处理数据，而非电子。最近已经展示了许多磁振子器件，但每个器件的开发都需要专门的研究，而且通常一种器件设计仅适用于一种功能。在此，我们介绍逆设计磁振子学方法，即可以先指定任何功能，然后使用基于反馈的计算算法来获得器件设计。我们使用微磁模拟手段验证了该方法。我们的概念验证原型基于一个矩形铁磁区域，该区域可以用方形空洞进行图案化。为了证明这种方法的通用性，我们探索了线性、非线性和非互易磁振子功能，并使用相同的算法创建了一个磁振子（解）复用器、一个非线性开关和一个环行器。因此，逆设计磁振子学可用于开发高效的射频应用以及布尔和神经形态计算模块。
