Andrea Angeletti, a passionate PhD candidate in computational material physics at the University of Vienna, utilizes machine learning accelerated molecular dynamics simulations and DFT calculations to deeply understand the properties of defective materials.

Driven by curiosity and a thirst for knowledge, Andrea is committed to pushing the boundaries of scientific research and paving the way for groundbreaking discoveries in the field.

Join Andrea on this incredible journey of exploration and innovation, as he brings a fresh perspective to the world of material physics.