Intelligent matter endows reconfigurable temperature and humidity sensations for in-sensor computing

• Published in: Materials horizons Vol. 10; no. 3; pp. 1030 - 1041
• Main Authors: Guo, Tao, Ge, Jiawei, Jiao, Yixuan, Teng, Youchao, Sun, Bai, Huang, Wen, Asgarimoghaddam, Hatameh, Musselman, Kevin P, Fang, Yin, Zhou, Y. Norman, Wu, Yimin A
• Format: Journal Article
• Language: English
• Published: England Royal Society of Chemistry 06.03.2023
• Subjects: Artificial intelligence; Computation; Data processing; Electronic devices; Energy consumption; High resistance; Humidity; Low resistance; Memory devices; Reconfiguration; Tactics
• ISSN: 2051-6347; 2051-6355
• DOI: 10.1039/d2mh01491b

Data-centric tactics with in-sensor computing go beyond the conventional computing-centric tactic that is suffering from processing latency and excessive energy consumption. The multifunctional intelligent matter with dynamic smart responses to environmental variations paves the way to implement data-centric tactics with high computing efficiency. However, intelligent matter with humidity and temperature sensitivity has not been reported. In this work, a design is demonstrated based on a single memristive device to achieve reconfigurable temperature and humidity sensations. Opposite temperature sensations at the low resistance state (LRS) and high resistance state (HRS) were observed for low-level sensory data processing. Integrated devices mimicking intelligent electronic skin (e-skin) can work in three modes to adapt to different scenarios. Additionally, the device acts as a humidity-sensory artificial synapse that can implement high-level cognitive in-sensor computing. The intelligent matter with reconfigurable temperature and humidity sensations is promising for energy-efficient artificial intelligence (AI) systems. Intelligent matter with smart responses to environmental stimulation paves the way to implement data-centric tactics with in-sensor computing, which bypasses redundant data shuttling.