Advances in Intelligent Gas Sensors from Materials to Application
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Chemical Sensors".
Deadline for manuscript submissions: 25 May 2026 | Viewed by 15
Special Issue Editors
Interests: 2D materials; heterostructures; gas sensing; DFT
Special Issue Information
Dear Colleagues,
Gas sensing technologies are vital for addressing global challenges in environmental monitoring, industrial safety, healthcare diagnostics and sustainable energy applications. Conventional sensing platforms, while widely used, often suffer from limitations such as poor selectivity, high power consumption and slow response/recovery times. Recent developments in nanomaterials, quantum structures, neuromorphic systems and machine learning integration are transforming the landscape of gas sensors, enabling devices that are not only ultra-sensitive and selective but also capable of adaptive learning, multifunctionality and IoT compatibility.
This Special Issue aims to bring together contributions that highlight emerging materials, innovative device architectures, hybrid heterostructures and intelligent signal processing approaches for gas sensing. Both experimental and theoretical studies are encouraged, with emphasis on interdisciplinary approaches that bridge materials science, electronics, chemistry and artificial intelligence. The goal is to showcase cutting-edge advances that push beyond detection to include gas adsorption analysis, catalytic conversion and smart integration for real-world deployment.
Scope and Topics of Interest include (but are not limited to):
- Novel materials for gas sensing (2D materials, MOFs, MXenes, QDs, hybrid heterostructures).
- Synaptic and neuromorphic gas sensors.
- Machine learning and AI for sensing performance enhancement.
- In situ and operando studies of gas adsorption and conversion.
- IoT-enabled and wearable gas-sensing devices.
- Applications in healthcare, environmental monitoring and energy technologies.
Dr. Utkarsh Kumar
Dr. Toton Haldar
Guest Editors
Manuscript Submission Information
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Keywords
- gas sensors
- nanomaterials
- neuromorphic sensing
- artificial intelligence
- environmental monitoring
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