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

Mater Horiz. 2023 Mar 6;10(3):1030-1041. doi: 10.1039/d2mh01491b.

Authors

Tao Guo¹, Jiawei Ge^{1

2}, Yixuan Jiao¹, Youchao Teng¹, Bai Sun³, Wen Huang^{4

5}, Hatameh Asgarimoghaddam¹, Kevin P Musselman¹, Yin Fang⁶, Y Norman Zhou¹, Yimin A Wu¹

Affiliations

¹ Department of Mechanical and Mechatronics Engineering, and Waterloo Institute of Nanotechnology, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada. yimin.wu@uwaterloo.ca.
² College of Materials Science and Technology, Jiangsu Key Laboratory of Materials and Technology for Energy Conversion, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China.
³ Frontier Institute of Science and Technology (FIST), Xi'an Jiaotong University, No. 28, Xianning West Road, Xi'an, Shaanxi 710049, P. R. China.
⁴ New Energy Technology Engineering Laboratory of Jiangsu Province, School of Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
⁵ State Key Laboratory of Silicon Materials, Zhejiang University, Hangzhou 310027, China.
⁶ School of Chemical and Biomedical engineering, Nanyang Technological University, Singapore.

PMID: 36692087
DOI: 10.1039/d2mh01491b

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.