Man

Enricc Grau Luque

Líneas de Investigación


Educación

  •  Inteligencia Artificial, Energía Solar, Ciencia de Materiales,, UNIVERSIDAD DE BARCELONA. España, 2024
  •  Inteligencia Artificial, Energía Solar, PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE. Chile, 2018
  •  Ineniería Civil Mecánica, UNIVERSIDAD DE BARCELONA. Chile, 2018

 

Article (10)

Revealing the Impact of CZTSe/CdS Interface Fluctuations on PV Device Performance through Big Data Analysis Assisted by Machine Learning Methods
Words don't matter: effects in large language model unstructured responses by minor prompt lexical changes
Accelerating the Development of Thin Film Photovoltaic Technologies: An Artificial Intelligence Assisted Methodology Using Spectroscopic and Optoelectronic Techniques
pudu: A Python library for agnostic feature selection and explainability of Machine Learning spectroscopic problems
Combinatorial Analysis Methodologies for Accelerated Research: The Case of Chalcogenide Thin-Film Photovoltaic Technologies
Insights into the Effects of RbF-Post-Deposition Treatments on the Absorber Surface of High Efficiency Cu(In,Ga)Se2 Solar Cells and Development of Analytical and Machine Learning Process Monitoring Methodologies Based on Combinatorial Analysis
Thickness evaluation of AlOx barrier layers for encapsulation of flexible PV modules in industrial environments by normal reflectance and machine learning
Combinatorial and machine learning approaches for the analysis of Cu<sub>2</sub>ZnGeSe<sub>4</sub>: influence of the off-stoichiometry on defect formation and solar cell performance
spectrapepper: A Python toolbox for advanced analysis of spectroscopic data for materials and devices.
Effect of soiling in bifacial EPV modules and cleaning schedule optimization

BookWhole (1)

Inteligencia artificial, aprendizaje profundo, y por qué las polillas vuelan hacia la luz
1
Rodrigo Escobar

Associate Professor

Mechanical and Metallurgical Engineering

Pontificia Universidad Catolica de Chile

Santiago, Chile