Projects
Current Projects
PeroSpiker
The ‘Perovskite Spiking Neurons for Intelligent Networks” project aims to develop miniature, energy-efficient Spiking Neural Networks (SNNs) that mimic neurons and synapses using metal halide perovskite, advancing neuromorphic computing for better perception and cognition.
TAROT
The ‘Tandem peRovskite/Organic memories for reliable multi-states and analogue computing’ project aims to synthesize and understand new memory devices by combining halide perovskites with organic mixed ionic electronic conductors (OMIECs). These devices are intended for applications in energy-efficient memory systems and neuromorphic computing.
Past Projects
PEROMEM
The ‘Perovskite memristors for spiking networks’ project everages metal halide perovskite’s unique properties—including ionic/electronic conduction and memory effects—to build neuromorphic devices that enhance perception, learning, and computation.
Our research group develops high-performance functional materials for renewable energy and AI applications, focusing on photoactivity, memory, and stability. We use advanced electro-optical techniques for dynamic material characterization and device optimization.