Memristive behavior of a V 2 C MXene/PANI:PSS composite and its applications in ammonia detection
Abstract
/PANI interface enable reversible conductance updates, mapping molecular events into time-amplitude fingerprints. At the array level, a 2 × 2 crossbar with a multi-task neural network enables parallel identification of gas type and concentration, achieving 96.2% and 94.1% accuracy, respectively. This strategy enables an end-to-end chain-from molecular transduction through synaptic modulation to algorithmic inference-within a single device, providing a scalable path to compact, low-power artificial olfaction hardware.
Fields of Study & Subjects
MXene and MAX Phase Materials
Advanced Memory and Neural Computing
2D Materials and Applications
Publication details
- Journal / source
- Materials Horizons
- Publisher
- Royal Society of Chemistry (RSC)
- Volume
- 13
- Issue
- 8
- Pages
- 4003–4010
- Publication date
- 1 January 2026
- Language
- EN