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Enric Tomás Grau-Luque

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I am a PhD candidate at the University of Barcelona with focus on advanced spectroscopic characterization of PV materials and devices with ML and XAI. I am fascinated by the integration of AI and ML into materials engineering and fundamental research, and how these tools can improve our understanding of this strange world we live in. Other professional interests include bifacial PV technology, soiling and degradation of PV devices, and research acceleration through AI and ML. I am a strong believer and advocate for open source and open access to science and knowledge. For more information about me, means of contact, full list of publications and conferences please check my CV and links above.

Open-source Projects

  • spectrapepper: A Python library for advanced analysis of spectroscopic data.
  • pudu: Python library for generalized and agnostic feature selection and explainability of ML problems.

Enric Tomás Grau-Luque's Projects

geemap icon geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and folium

liblabguide icon liblabguide

A list of useful commands and procdeures for developing Github repositories and Python libraries

palta icon palta

Local Importance Gradient (LIG) is a advanced statistical method for explainability of machine learning classification and regression algorithms. LIG quantifies the importance of features in terms of classification probability and classification change.

phono3py icon phono3py

A simulation package of phonon-phonon interaction related properties

scipy icon scipy

Scipy library main repository

siach icon siach

Sistema de Información de Avalanchas de Chile

staged-recipes icon staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

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