About

Hi! I'm Apolinario Tan. I'm a Filipino doctoral student studying Theory and Simulation of Condensed Matter at the International School for Advanced Studies (SISSA) in Trieste, Italy.

Research interests

My main interests lie in machine learning for materials science, particularly in creating neural network potentials for atomistic simulations. I work under the supervision of Stefano de Gironcoli, and I am currently investigating if taking known interactions into consideration before training (i.e. two-body or electrostatic interactions) makes training these models more informed and efficient.

Previous positions

Prior to my PhD, I took the diploma course at the International Centre for Theoretical Physics (ICTP), also in Trieste. My concentration was in Condensed Matter and Statistical Physics, and my year-end project was reviewing the onset of thermalization quantum spin chains with Antonello Scardicchio.

At SISSA, I am currently part of the Condensed Matter section, but I have since switched topics closer to realistic simulaitons.

Skills

• Machine Learning
• Materials Science
• Atomistic Simulations
• Neural Network Potentials
• Condensed Matter Physics