Neuromorphic Computing & Ferroelectric Capacitance

This course explores the physical properties of ferroelectric materials, then illustrates their implementation through component fabrication and characterization. Finally, it considers the integration of such components into bio-inspired architectures for neuromorphic and memory computing, inspired by the functioning of the human brain to design energy-efficient electronic systems that break with traditional architectures. This course combines theory, practicals in a clean room and digital modeling to provide a comprehensive understanding of this revolutionary technology.

• Introduction to key concepts: neuromorphic computing, ferroelectric materials, integrated memory circuits.
• Design of ferroelectric capacitors:
  • Practical application of ferroelectric oxide layers on substrates to create ferroelectric capacitors;
  • TP characterization of ferroelectric properties (hysteresis, permittivity) via electrical measurements.
• Behavioral modeling of ferroelectric capacitors and simulation of neuromorphic memory circuits.
• Study of practical applications: in-memory computing, hardware neural networks, advanced neuromorphic systems.
• Synthesis: oral defense.