Temperature-Modulated MEMS Gas Sensor Array Enabled by Physics-Informed Deep Learning for Thermal-Runaway Characteristic Gas Discrimination.

Qin Luo, Qi Guo, Rongyue Liu, Yilin Li, Haiping Zhu, Wei Zhang, Zhongren Chen, Zhaojun Liu, Xing Cheng

Abstract read

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Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Qin Luo *College of Semiconductors (National Graduate College for Engineers), Southern University of Science and Technology, Shenzhen, China.ORCID https://orcid.org/0009-0003-9975-950X

Qi Guo *College of Semiconductors (National Graduate College for Engineers), Southern University of Science and Technology, Shenzhen, China.ORCID https://orcid.org/0000-0002-4069-9819

Rongyue LiuDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, China.

Yilin LiCollege of Semiconductors (National Graduate College for Engineers), Southern University of Science and Technology, Shenzhen, China.

Haiping ZhuCollege of Semiconductors (National Graduate College for Engineers), Southern University of Science and Technology, Shenzhen, China.

Wei ZhangDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, China.

Zhongren ChenShenzhen Grubbs Institute and Department of Chemistry, Southern University of Science and Technology, Shenzhen, China.

Zhaojun LiuDepartment of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China.ORCID https://orcid.org/0000-0002-7746-2786

Xing ChengCollege of Semiconductors (National Graduate College for Engineers), Southern University of Science and Technology, Shenzhen, China.ORCID https://orcid.org/0000-0003-2704-1323

Funding

Key research and development projects in Xizang Autonomous Region SUSTECHJX2022007Key research and development projects in Xizang Autonomous Region XZ202601ZY0174National Natural Science Foundation of China 31927802Shenzhen Science and Technology Innovation Committee RCJC20200714114436046

6 · The paper itself

Abstract

Gas monitoring is a promising method for early warning of thermal runaway, yet existing sensor systems suffer from insufficient miniaturization, inadequate discrimination ability, and severe drift-induced performance degradation. This work presents a 2 × 2 integrated single-chip MEMS gas sensor array with temperature modulation and deep learning for discriminating thermal-runaway characteristic gases. The array comprises four distinct temperature zones achieved by varying the line width of the heating electrodes, with the entire array measuring 1.8 × 1.8 × 0.5 mm

Indexed as

deep learningMEMS gas sensor arraytemperature modulationthermal runaway

Identifiers

PMID42750262

DOI10.1002/advs.77784

PMCPMC13583223

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.