Antimony-contact MoS2 FET gas sensors for reinforcement-learning–driven hazard perception at room temperature

Two-dimensional van der Waals semiconductors promise low-power chemical perception at room temperature, yet contact-limited on-currents and slow recovery impede closed-loop decision making in hazardous environments. Here we propose antimony (Sb)-contact two-dimensional (2D) monolayer MoS 2 field-effect transistors (FETs) that leverage contact engineering to boost on-current and charge-transfer gas response for room temperature detection and enable electrically programmable recovery via pre-bias pulses that actively accelerate desorption and baseline restoration. The Sb-contact MoS 2 FETs show unprecedented ppb gas response (363,600% at 500 ppb NO 2 ) and rapid, repeatable room temperature recovery with ultra-low energy consumption (42 pJ, representing the intrinsic energy efficiency of the sensing front-end), serving as a proof-of-concept for the front-end of a safety-constrained reinforcement-learning (RL) stack that detects leak sources and plans low-risk escape path in turbulent interiors. We cast joint seek-and-escape as a single constrained Markov decision process informed by real-time transduction features fused with thermal–flow cues; the learned policy achieves earlier detection, lower cumulative exposure, and shorter safe-egress paths than heuristic baselines in computational fluid dynamics (CFD)-validated simulations and chamber trials. By uniting contact-engineered 2D transducers with risk-aware RL, this work advances room temperature chemical sensing from passive monitoring to closed-loop action.

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Publication Details

Journal
Microsystems & Nanoengineering
Published
2026-09-22
DOI
https://doi.org/10.1038/s41378-026-01431-w
Primary Topic
2D Materials and Applications
Type
article
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article

Antimony-contact MoS2 FET gas sensors for reinforcement-learning–driven hazard perception at room temperature

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Microsystems & Nanoengineering
2D Materials and Applications
article

Antimony-contact MoS2 FET gas sensors for reinforcement-learning–driven hazard perception at room temperature

Wonjun Shin, Sung‐Tae Lee, Saeroonter Oh, Youngchan Cho, 신연섭, Jangsaeng Kim, Sangyeon Pak, Daewoong Kwon, David Radermacher, Jinhyeok Pyo, Se-Hyun Hwang, Yebin Oh, Sohyeon Park, Junho Choi, Min Wook Kang
article en

Abstract

Two-dimensional van der Waals semiconductors promise low-power chemical perception at room temperature, yet contact-limited on-currents and slow recovery impede closed-loop decision making in hazardous environments. Here we propose antimony (Sb)-contact two-dimensional (2D) monolayer MoS 2 field-effect transistors (FETs) that leverage contact engineering to boost on-current and charge-transfer gas response for room temperature detection and enable electrically programmable recovery via pre-bias pulses that actively accelerate desorption and baseline restoration. The Sb-contact MoS 2 FETs show unprecedented ppb gas response (363,600% at 500 ppb NO 2 ) and rapid, repeatable room temperature recovery with ultra-low energy consumption (42 pJ, representing the intrinsic energy efficiency of the sensing front-end), serving as a proof-of-concept for the front-end of a safety-constrained reinforcement-learning (RL) stack that detects leak sources and plans low-risk escape path in turbulent interiors. We cast joint seek-and-escape as a single constrained Markov decision process informed by real-time transduction features fused with thermal–flow cues; the learned policy achieves earlier detection, lower cumulative exposure, and shorter safe-egress paths than heuristic baselines in computational fluid dynamics (CFD)-validated simulations and chamber trials. By uniting contact-engineered 2D transducers with risk-aware RL, this work advances room temperature chemical sensing from passive monitoring to closed-loop action.

Microsystems & NanoengineeringVol. 12(1)
Sogang University (KR), Konkuk University (KR), Hanyang University (KR), Sungkyunkwan University (KR), Hongik University (KR)
Climate action
Openalex Percentile: Top 25%
2D Materials and Applications
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