Machine Learning as a Tool in Physics.

Speaker: Vianney Koelman (CCER)
Time: May 09, 2019, 12:40
Location: TU/e: Flux 1.02

Machine learning is witnessing a turbulent development in all of science and technology. While machine learning as a tool in data analysis has already developed a history also in physics, we now see methodologies and algorithms being developed that open up the opportunity for machine learning being applied to scientific discovery itself. Following a didactical intro to machine learning, this talk will focus on machine learning as a tool in high-throughput simulations for scientific discovery. A few applications related to energy technology will be touched upon.