Embodying Multifunctional Mechano‐Intelligence in and Through Phononic Metastructures Harnessing Physical Reservoir Computing (Adv. Sci. 34/2023)
Source abstract
Abstract
Mechano-Intelligence In article number 2305074, Yuning Zhang, Aditya Deshmukh, and Kon-Well Wang introduce an innovative method for embodying multifunctional mechano-intelligence into phononic metastructures, harnessing their wave dynamics as computational resources through a physical-body-based analog neural network. This breakthrough lays the foundation for the development of future intelligent structures that can perceive information, learn, make decisions, and execute actions within their mechanical domain.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Neural Networks and Reservoir Computing · Neural Networks and Applications · Advanced Memory and Neural Computing
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