Federico Raffone

Federico Raffone is a Fixed-term Researcher at the Department of Applied Science and Technology (DISAT) within the Polytechnic University of Turin, where he contributes to the College of Chemical and Materials Engineering as a teaching staff member.

• Teaching roles include: Main teacher for Computational Materials Science (2023/24, 2025/26), Course Collaborator for Quantum Condensed Matter Physics/Quantum Devices, and Nanomaterials Engineering in multiple academic years.
• Research focuses on computational materials science, quantum engineering, and machine learning applications for electrochemical systems and nanomaterials.

His recent publications highlight work in:

• CO2 emission energy harvesting via ionic liquid capacitors
• Pharmaceutical contaminant removal using metal-organic frameworks
• Osmotic energy conversion through functionalized graphene oxide membranes
• Machine learning-driven catalyst surface optimization
• Quantum conductance in memristive nanowires

As a PhD supervisor for Mattia Salomone, he explores machine learning applications in electroreduction catalysts. Research is conducted under the Institute of Fundamental Physics and Materials for Nanotechnology (DISAT).