ALEJANDRO CAÑETE ARCHÉ

Presentation

Alejandro is a PhD candidate in computational chemistry at Trinity College Dublin, supervised by Prof. Max García-Melchor and Prof. Graeme Watson. His research focuses on developing atomistic machine-learning models for the in silico screening of novel catalysts for CO2 electroreduction

Scientific interests

  • Atomistic Machine Learning
  • Electrocatalysis
  • CO2 reduction reaction

Scientific career

  • BSc in Nanoscience and Nanotechnology at Universitat Autònoma de Barcelona (UAB)

Awards

  • Best Oral Award at MATSUS Fall 2024, sponsored by ChemPhysChem, Wiley
  • Marie Skłodowska-Curie Actions Doctoral Candidate Scholarship (ECOMATES)

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