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

Tao Guo; Jiawei Ge; Yixuan Jiao; Youchao Teng; Bai Sun; Wen Huang; Hatameh Asgarimoghaddam; Kevin P. Musselman; Yin Fang; Y. Norman Zhou; Yimin A. Wu

doi:10.1039/D2MH01491B

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

Tao Guo,^a Jiawei Ge,

^ab Yixuan Jiao,^a Youchao Teng,

^a Bai Sun,

^c Wen Huang,^de Hatameh Asgarimoghaddam,^a Kevin P. Musselman,^a Yin Fang,^f Y. Norman Zhou

*^a and Yimin A. Wu

*^a

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* Corresponding authors

^a Department of Mechanical and Mechatronics Engineering, and Waterloo Institute of Nanotechnology, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
E-mail: yimin.wu@uwaterloo.ca, nzhou@uwaterloo.ca

^b College of Materials Science and Technology, Jiangsu Key Laboratory of Materials and Technology for Energy Conversion, Nanjing University of Aeronautics and Astronautics, Nanjing, China

^c Frontier Institute of Science and Technology (FIST), Xi’an Jiaotong University, No. 28, Xianning West Road, Xi'an, Shaanxi 710049, P. R. China

^d New Energy Technology Engineering Laboratory of Jiangsu Province, School of Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China

^e State Key Laboratory of Silicon Materials, Zhejiang University, Hangzhou 310027, China

^f School of Chemical and Biomedical engineering, Nanyang Technological University, Singapore

Abstract

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.

This article is part of the themed collection: #MyFirstMH

Materials Horizons

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

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