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

IF 11.1 1区 工程技术 Q1 INSTRUMENTS & INSTRUMENTATION
Youngchan Cho, Jinhyeok Pyo, Yeonseop Shin, Min Wook Kang, Yebin Oh, Se-Hyun Hwang, Sohyeon Park, David Radermacher, Saeroonter Oh, Daewoong Kwon, Sung-Tae Lee, Junho Choi, Jangsaeng Kim, Wonjun Shin, Sangyeon Pak
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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 MoS2 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 MoS2 FETs show unprecedented ppb gas response (363,600% at 500 ppb NO2) 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.

室温下用于强化学习驱动的危险感知的锑接触MoS2 FET气体传感器。
二维范德华半导体有望在室温下实现低功耗化学感知,但接触受限的导通电流和缓慢的恢复速度阻碍了在危险环境下的闭环决策。在这里,我们提出了锑(Sb)接触二维(2D)单层MoS2场效应晶体管(fet),利用接触工程来提高室温检测的导通电流和电荷转移气体响应,并通过主动加速解吸和基线恢复的预偏置脉冲实现电可编程恢复。sb接触MoS2 fet表现出前所未有的ppb气体响应(500ppb NO2时为363,600%)和快速、可重复的室温恢复,超低能耗(42 pJ,代表传感前端的固有能量效率),作为安全约束强化学习(RL)堆栈前端的概念验证,该堆栈可以检测泄漏源并规划湍流内部的低风险逃逸路径。我们将联合寻找和逃离作为一个单一的约束马尔可夫决策过程,该决策过程由实时转导特征与热流线索融合而成;在计算流体动力学(CFD)验证的模拟和室内试验中,与启发式基线相比,学习策略实现了更早的检测、更低的累积暴露和更短的安全出口路径。通过将接触式二维传感器与风险感知RL结合起来,这项工作将室温化学传感从被动监测推进到闭环作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Microsystems & Nanoengineering
Microsystems & Nanoengineering Materials Science-Materials Science (miscellaneous)
CiteScore
12.00
自引率
3.80%
发文量
123
审稿时长
20 weeks
期刊介绍: Microsystems & Nanoengineering is a comprehensive online journal that focuses on the field of Micro and Nano Electro Mechanical Systems (MEMS and NEMS). It provides a platform for researchers to share their original research findings and review articles in this area. The journal covers a wide range of topics, from fundamental research to practical applications. Published by Springer Nature, in collaboration with the Aerospace Information Research Institute, Chinese Academy of Sciences, and with the support of the State Key Laboratory of Transducer Technology, it is an esteemed publication in the field. As an open access journal, it offers free access to its content, allowing readers from around the world to benefit from the latest developments in MEMS and NEMS.
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