Research
1. Impedance Spectrocopy
The characterization in the frequency domain provides information about kinetic processes in devices.
2. Neuromorphic Networks: Neurons and Synapses
There is considerable interest in attaining memory and computation functionalities based on a neurological understanding of physical and chemical phenomena, faithfully replicated in suitable devices.
Neuromorphic computing draws inspiration from the brain’s ability to perform parallel, energy-efficient operations with remarkable processing power and adaptability.
Developing neuromorphic circuits with analogic elements requires a combination of theory and computational tools with the materials and devices constructions skills.
3. Memristors
Memristors are devices with tunable conductance and a memory effect. They are promising to represent synaptic weight in neural networks.
4. Ionic-Electronic Transistors
Organic electrochemical transistors (OECT) enable diverse applications in bioelectronics, logic circuit components, and neuromorphic devices.
5. Halide Perovskite Solar Cells
Halide perovskite solar cells are high efficiency energy conversion devices. The mixed ionic-electronic properties cause hysteresis and degradation effects.
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.