Nuno Costa

Nuno Costa is a researcher affiliated with the Multiscale Modeling of Fluid Materials group at the Faculty of Mechanical Engineering, Technische Universität München (TUM). He works under the supervision of Prof. Dr. Julija Zavadlav and is connected to institutions including the Atomistic Modeling Center (AMC), Munich Data Science Institute (MDSI), and Munich Institute of Integrated Materials, Energy and Process Engineering (MEP).

Education

• MSc in Informatics and Computation Engineering, FEUP, Porto (2024)
• BSc in Informatics and Computation Engineering, FEUP, Porto (2022)

Research and Collaborations

His research focuses on applying machine learning and uncertainty quantification to physics-based models, particularly for material discovery and molecular dynamics. This aligns with TUM's work in scientific machine learning, concurrent multiscale simulations, and nanoscale science.

Teaching Contributions

Nuno contributes to the Physics-Informed Machine Learning course (SS25), which integrates physical principles into deep learning frameworks: Course Details.

Awards and Scholarships

• Outstanding MSc Thesis Award - IEEE Portugal (2024)
• Best Dissertation M.EIC, FEUP - Vestas (2024)
• New Talents Program in Quantum Technologies - Gulbenkian Foundation (2021)