Vitor Heitor Cardoso Cunha

Vitor Heitor Cardoso Cunha is a Postdoctoral Fellow in the Department of Chemistry at the Norwegian University of Science and Technology (NTNU), working with PoreLab research center. Originally from Rio de Janeiro, Brazil, he integrates computational chemistry and physics to study interfacial phenomena across multiple scales, with particular focus on liquid-vapor phase transitions in sub-micron systems.

His research expertise spans several interconnected domains:

• Fluid Mechanics and Thermodynamics of phase transitions
• Computational Chemistry and Physics methodologies
• Scientific Machine Learning applications in fluid dynamics
• Density Functional Theory and Molecular Dynamics simulations
• Interfacial phenomena in solid-liquid-gas systems

Dr. Cardoso Cunha employs phase field methods to capture diffuse interfaces between liquid and vapor phases, which is essential for investigating evaporation and condensation in droplets and ultrathin films. He also utilizes density gradient theory to characterize temporal evolution of surface processes. A significant innovation in his recent work involves neural operators that can learn interface evolution from thermodynamic principles while offering computational efficiency through super-resolution capabilities.

His publication record demonstrates expertise in modeling droplet dynamics across multiple contexts, with recent works examining curvature effects on mass flux, phase change effects on droplet motion, and numerical methods for simulating suspended droplet evaporation. These contributions combine classical modeling approaches with emerging machine learning techniques to advance understanding of complex interfacial phenomena.

His scientific contributions include:

• Development of phase field methods for evaporating droplet analysis
• Investigation of wettability gradient effects on droplet motion
• Creation of space-time numerical methods for droplet evaporation
• Exploration of neural operators for fluid mechanics applications

Dr. Cardoso Cunha maintains an active computational research profile with multiple GitHub repositories focusing on porous media flow, mesh generation, and thin liquid sheet dynamics. His interdisciplinary approach bridges traditional computational fluid dynamics with modern machine learning techniques to address fundamental challenges in interfacial science.