Henrique Musseli Cezar

Henrique Musseli Cezar is a Researcher at the Hylleraas Centre for Quantum Molecular Sciences within the Department of Chemistry at the University of Oslo. His research focuses on developing molecular simulation methods, particularly applying machine learning potentials to study phenomena such as ionic conductivity in metal-organic frameworks. He holds a Ph.D. in Physics from the University of São Paulo, with postdoctoral experience at both the University of Oslo and the University of São Paulo, where he investigated computational nanofluidics and Monte Carlo methods.

Research Interests: His work spans

• Computational physics and theoretical chemistry,
• Machine learning-enhanced molecular dynamics,
• Nanostructured materials and their applications in environmental science,
• Monte Carlo and Metainference methods,
• Phase behavior and adsorption properties in nanomaterials.

Awards: He has received notable recognition including the Best PhD thesis in Atomic/Molecular Physics (Brazilian Physical Society), Top Downloaded Paper awards, and multiple poster/flash talk accolades for his contributions to molecular simulation and computational methods.

Grants & Fellowships: His postdoctoral research was supported by

• FAPESP (Brazil) for nanofluidics studies,
• CAPES and CNPq fellowships for his Ph.D. and Master’s research,
• Current affiliation with the Hylleraas Centre funded by Norwegian research grants.

Labs & Collaborations: Active in the Hylleraas Centre, he collaborates internationally on projects blending computational and experimental approaches, such as the H2O-MOF initiative and studies on surfactant structures and greenhouse gas adsorption.