CENL

Research

Intelligent Chemical Perception

CENL develops chemoelectronic nanomaterials, MOFs, sensor arrays, and molecular recognition strategies that translate gas interactions into information-rich chemical signals.

Research Directions

Core directions in chemoelectronic sensing

Electronic Nose System Development

CENL develops electronic nose platforms by pairing nanomaterial-based sensing layers with signal processing, device integration, and pattern recognition workflows.

Chemoelectronic sensor arrays
Volatile organic compound detection
Signal processing and classification
Portable sensing hardware

Nanomaterial Sensor Interfaces

The lab studies surface chemistry, transport behavior, and device architectures that improve selectivity, stability, and sensitivity.

Functional surface design
Hybrid nanomaterial films
Device response optimization
Long-term stability studies

Chemical Data Intelligence

CENL builds analysis pipelines for sensor calibration, drift correction, model comparison, and transparent reporting of chemical sensing results.

Sensor data curation
Model evaluation
Drift-aware analysis
Interpretable chemical patterns