Autonomous Computing Materials
| Autor: | Mark Bathe, Sanghamitra Neogi, Rigoberto Hernandez, Raghu Machiraju, Takaki Komiyama |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Sensing applications
business.industry Computer science Computation Distributed computing General Engineering General Physics and Astronomy 02 engineering and technology Energy consumption 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences 0104 chemical sciences Interfacing Computer data storage Limited capacity General Materials Science Photonics 0210 nano-technology business Instantaneous rate |
| Zdroj: | ACS |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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