<p>Two-dimensional (2D) transition metal carbides and nitrides, referred to as MXenes, are attracting increasing attention as adaptable components for high-performance electrical and sensing devices. This perspective examines their function across three intersecting platforms: resistive switching memory, gas sensors, and gasistors that integrate both functionalities. Solution-based synthesis, laser patterning, and low-temperature assembly on flexible substrates are emphasized as methods that accelerate the transition from powder to device. Spontaneous oxidation, moisture-driven degradation, and precise termination control remain challenges to overcome, but new solutions, including surface passivation, fluoride-free etching, and data-driven material selection, are being developed rapidly. This article proposes design guidelines that connect atomic-scale chemistry with device-level metrics, facilitating the transition of MXene memories, sensors, and gasistors from proof-of-concept studies to reliable systems for energy storage, neuromorphic computation, and environmental monitoring.</p> Graphical Abstract <p></p>

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Two Dimensional MXenes Drive Multifunctional Resistive Memory, Gas Sensing, and Gasistor Devices: A Perspective

  • Hyojung Kim

摘要

Two-dimensional (2D) transition metal carbides and nitrides, referred to as MXenes, are attracting increasing attention as adaptable components for high-performance electrical and sensing devices. This perspective examines their function across three intersecting platforms: resistive switching memory, gas sensors, and gasistors that integrate both functionalities. Solution-based synthesis, laser patterning, and low-temperature assembly on flexible substrates are emphasized as methods that accelerate the transition from powder to device. Spontaneous oxidation, moisture-driven degradation, and precise termination control remain challenges to overcome, but new solutions, including surface passivation, fluoride-free etching, and data-driven material selection, are being developed rapidly. This article proposes design guidelines that connect atomic-scale chemistry with device-level metrics, facilitating the transition of MXene memories, sensors, and gasistors from proof-of-concept studies to reliable systems for energy storage, neuromorphic computation, and environmental monitoring.

Graphical Abstract