Hybrid organic–oxide phototransistors integrating optical sensing, programmable memory, adaptive forgetting, and temporal information processing.
Advanced synthetic bioreceptors designed to mimic enzyme functions, integrated with bioelectronic interfaces for selective, rapid, label-free, and wearable biomarker detection.
Nanostructured optical materials and devices engineered to control light–matter interactions for enhanced fluorescence, advanced nanophotonics, and tunable optical functionalities.
IEEE EDS Foothill Chapter · 100 Years of the FET Series · Prof. Larry Cheng, Oregon State University
Hybrid organic–metal-oxide devices use photogating and charge trapping to couple light sensing with tunable memory. Our recent work progresses from fast dynamic photogating, through trap-kinetic control, to electrically programmable reinforcement and forgetting.
We develop molecularly imprinted, redox-active, and electrocatalytic polymers that integrate selective molecular recognition with direct signal transduction. Applications include hormone and metabolite sensing and multiplexed wearable monitoring of stress-related biomarkers.
We develop fluorescent carbon dots, nanoscale optical materials, and nanobiosensing structures that connect engineered nanomaterials with optical and biochemical signal transduction.
Brain-Inspired Light Sensor Could Speed AI Image Processing
Independent feature/interview · 2026Brain-like memory device for AI sensors
Technology coverage · 2026Sensor-level processing and memory
Semiconductor industry coverage · 2026Digital memory device inspired by the human brain may improve AI energy efficiency
OSU Newsroom · 2026
Coverage of our electrocatalytic molecularly imprinted polymer (EC-MIP) cortisol sensing and wearable stress-profiling research:
Artificial enzyme detects cortisol levels in sweat
Red and green carbon dots for efficient color conversion and display applications were selected as a HOT Paper by Journal of Materials Chemistry C.
The Cheng Research Group bridges advanced materials, electronics, photonics, and biomedical sensing to translate fundamental material mechanisms into innovative devices for sensing, dynamic information processing, and computing.