Apr
10
2026
By luiz
Master's Thesis Defense: Machine Learning Techniques Applied to Ice/Gold Systems
João Gabriel Cardozo Castro | Master's in Physics | DFMT - IFUSP
The Department of Materials Physics (DFMT) of the Institute of Physics at USP (IFUSP) invites the academic community to the master's thesis defense of João Gabriel Cardozo Castro.
The work, titled "Machine Learning Techniques Applied to Ice/Gold Systems", explores advanced artificial intelligence methodologies for modeling and analysis of complex systems.
Defense Details
- Date: April 14 (Tuesday)
- Time: 2 PM
- Location: Main Building, room 2006
- Examining Committee:
• Profa. Dra. Luana Sucupira Pedroza (IF-USP) (advisor)
• Prof. Dr. Alexandre Reily Rocha (UNESP)
• Dr. Gabriel Ravanhani Schleder (LNNano/CNPEM)
This defense highlights the growing use of machine learning in materials physics, with potential applications in quantum simulations and optimization of metallic surface properties. Everyone is invited to participate and discuss the results.
For more information, contact the DFMT secretariat.
secretariat email: secfmt@if.usp.br