Research Assistant at Universidad Nacional de Colombia
RESPONSIBILITIES
● Build a thermodynamic module for the analysis of phase equilibrium phenomena in compositional simulation.
● Implement machine learning methods to construct physics-informed models for studying phase equilibrium phenomena.
KEY ACCOMPLISHMENTS
● Reduced simulation time by 90% through the implementation of a physics-informed neural network, accelerating the pace of scientific experimentation
Like this project
0
Posted Apr 20, 2023
Reduced simulation time by 90% through the implementation of a physics-informed neural network, accelerating the pace of scientific experimentation.
Likes
0
Views
26
Machine Learning Engineer at Provectus
Machine Learning Engineer at Tres Astronautas