Machine Learning Methods

Research line: Machine Learning Methods (applied to optimization of problem solving in materials and particle physics)
Researcher(s): Anibal Thiago Bezerra
Description:

Machine learning methods are used in solving problems in both materials physics and particle physics. For this purpose, various models, including artificial neural networks, decision trees, and regression models, are used to model experimental and theoretical physical data, seeking efficient solutions that represent the Physics of the system.