Autonomous Computing Materials

Conventional materials are reaching their limits in computation, sensing, and data storage capabilities, ushered by the end of Moore’s law, myriad sensing applications, continuing exponential rise worldwide demand. also limited controlled environments which they must operate, high energy consumption, capacity to perform simultaneous, integrated retrieval. In contrast, human brain is capable multimodal complex both short- long-term simultaneously, with near instantaneous rate recall, seamless integration, minimal consumption. Motivated need for revolutionary new computing materials, we recently proposed data-driven discovery framework, autonomous materials. This framework aims mimic brain’s capabilities programming excitonic, phononic, photonic, dynamic structural nanoscale without attempting unknown implementational details brain. If realized, such would offer transformative opportunities distributed, an manner biological other nonconventional environments, including interfacing sensors computers as itself.