Internship student
Room: | HAL 112 |
Group: | computational materials science and theoretical nanophysics |
Download contact:
|
Dario Escriba earned his Bachelor's degree in Physics from the National University of San Marcos (Peru) in 2023. During his undergraduate studies, he participated in three schools offered by ICTP-SAIFR (Brazil), which covered cutting-edge topics in physics, including one focused on Quantum Computing specialties. He also attended a school offered by ICTP-PWF (Ecuador), where he was trained in the fundamentals of machine learning and its applications in physics and life sciences. Currently, his undergraduate thesis research focuses on molecular dynamics and DFT calculations for the characterization of Al-Pd nanoalloys. Additionally, he is doing an internship under the supervision of Dr. Leonardo Medrano Sandonas at TUD Dresden University of Technology, focusing on the training and optimization of machine learning force field models for molecules.
Internship student
Room: | HAL 112 |
Group: | computational materials science and theoretical nanophysics |
Download contact:
|
Dario Escriba earned his Bachelor's degree in Physics from the National University of San Marcos (Peru) in 2023. During his undergraduate studies, he participated in three schools offered by ICTP-SAIFR (Brazil), which covered cutting-edge topics in physics, including one focused on Quantum Computing specialties. He also attended a school offered by ICTP-PWF (Ecuador), where he was trained in the fundamentals of machine learning and its applications in physics and life sciences. Currently, his undergraduate thesis research focuses on molecular dynamics and DFT calculations for the characterization of Al-Pd nanoalloys. Additionally, he is doing an internship under the supervision of Dr. Leonardo Medrano Sandonas at TUD Dresden University of Technology, focusing on the training and optimization of machine learning force field models for molecules.