Autonomous Computing Materials
Autonomous Computing Materials
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DOI：
10.1021/acsnano.0c09556
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发表时间：
2021-02-26
期刊：
影响因子：
17.1
通讯作者：
Neogi, Sanghamitra
中科院分区：
文献类型：
--
作者：
Bathe, Mark;Hernandez, Rigoberto;Neogi, Sanghamitra
由于摩尔定律的终结、无数的传感应用以及全球数据存储需求的持续指数增长，传统材料在计算、传感和数据存储能力方面正在达到极限。传统材料还受到它们必须操作的受控环境、它们的高能耗以及它们执行同时的、集成的感测、计算和数据存储和检索的有限能力的限制。相比之下，人类大脑能够同时进行多模式感知、复杂计算以及短期和长期数据存储，具有近乎瞬时的召回率、无缝集成和最小的能耗。受大脑和对革命性新计算材料的需求的激励，我们最近提出了数据驱动的材料发现框架，自主计算材料。该框架旨在通过编程激子、声子、光子和动态结构纳米级材料来模拟大脑的集成传感、计算和数据存储能力，而不试图模拟大脑的未知实现细节。如果实现，这些材料将为分布式，多模式传感，计算和数据存储提供变革性的机会，在生物和其他非传统环境中以集成的方式进行，包括与生物传感器和计算机（如大脑本身）的接口。
Conventional materials are reaching their limits in computation, sensing, and data storage capabilities, ushered in by the end of Moore's law, myriad sensing applications, and the continuing exponential rise in worldwide data storage demand. Conventional materials are also limited by the controlled environments in which they must operate, their high energy consumption, and their limited capacity to perform simultaneous, integrated sensing, computation, and data storage and retrieval. In contrast, the human brain is capable of multimodal sensing, complex computation, and both short- and long-term data storage simultaneously, with near instantaneous rate of recall, seamless integration, and minimal energy consumption. Motivated by the brain and the need for revolutionary new computing materials, we recently proposed the data-driven materials discovery framework, autonomous computing materials. This framework aims to mimic the brain's capabilities for integrated sensing, computation, and data storage by programming excitonic, phononic, photonic, and dynamic structural nanoscale materials, without attempting to mimic the unknown implementational details of the brain. If realized, such materials would offer transformative opportunities for distributed, multimodal sensing, computation, and data storage in an integrated manner in biological and other nonconventional environments, including interfacing with biological sensors and computers such as the brain itself.