Mechanical integrated circuit materials

Mechanical integrated circuit materials
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DOI:
10.1038/s41586-022-05004-5
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发表时间:
2022-08-25
期刊:
影响因子:
64.8
通讯作者:
Harne, Ryan L.
Harne, Ryan L.
中科院分区:
综合性期刊1区
文献类型:
--
作者:
El Helou, Charles;Grossmann, Benjamin;Harne, Ryan L.

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自主工程物质的最新发展已经引入了智能材料处理环境刺激和功能适应的能力(1-4)。为了为这种工程生物材料范例奠定基础,研究人员引入了传感(5-11)和驱动。软物质的功能。然而,信息处理是自主工程物质的关键功能元素,最近已经通过具有有限计算可扩展性的非常规技术进行了探索(17-20)。在这里,我们揭示了布尔数学和运动学可重构电路之间的关系,以实现所有的组合逻辑操作的软,导电的机械材料。我们建立了一个分析框架,最小化的正则函数的组合逻辑的Quine-McWellkey方法,并管理的机械设计的可重构集成电路开关网络在软物质。由此产生的机械集成电路材料执行更高级别的算术,数字比较,并将二进制数据解码为视觉表示。我们提出了两种方法来自动化设计的基础上,规范的布尔函数和个人的门开关组件。我们还通过单片逐层设计方法增加了材料的计算密度。由于这里建立的框架利用数学和运动学进行系统设计,因此所提出的机械集成电路材料的方法可以在任何长度尺度和各种物理学中实现。
Recent developments in autonomous engineered matter have introduced the ability for intelligent materials to process environmental stimuli and functionally adapt(1-4). To formulate a foundation for such an engineered living material paradigm, researchers have introduced sensing(5-11) and actuating'. functionalities in soft matter. Yet, information processing is the key functional element of autonomous engineered matter that has been recently explored through unconventional techniques with limited computing scalability(17-20). Here we uncover a relation between Boolean mathematics and kinematically reconfigurable electrical circuitsto realize all combinational logic operations in soft, conductive mechanical materials. We establish an analytical framework that minimizesthe canonical functions of combinational logic by the Quine-McCluskey method, and governs the mechanical design of reconfigurable integrated circuit switching networks in soft matter. The resulting mechanical integrated circuit materials perform higher-level arithmetic, number comparison, and decode binary data to visual representations. We exemplify two methods to automate the design on the basis of canonical Boolean functions and individual gate-switching assemblies. We also increase the computational density of the materials by a monolithic layer-by-layer design approach. As the framework established here leverages mathematics and kinematics for system design, the proposed approach of mechanical integrated circuit materials can be realized on any length scale and in a wide variety of physics.