DR JAVIER F. TRONCOSO as a Scientific Researcher

“Nothing in life is to be feared, it is only to be understood. Now is the time to understand more, so that we may fear less.”

Marie Curie

As a scientific researcher, we have the unique opportunity to uncover how the world works. I was fortunate to contribute to advancing the state of the art in Materials Science. Throughout my career—during my PhD, postdocs, and senior positions—I leveraged AI and computer simulations to optimize material properties, improve fabrication processes, and discover novel materials. My work spanned thermoelectric materials, the metal industry, and battery manufacturing.

Thanks to my strong foundation in Physics and expertise in programming/software development, I possess a robust background to drive innovation in Computational Physics research.

Authored/co-authored 15+ papers in recognized scientific journals, focusing on computer simulations and Artificial Intelligence (AI):

- - - Optimization of thermoelectric, thermal and mechanical properties of materials.
    - Development of Machine Learning algorithms for lattice defect detection and classification.
    - Design of new force fields for atomistic simulations.
    - Use of advanced computational methods, including:
    - Molecular Dynamics (MD)
    - Phase-Field Modeling
    - Density Functional Theory (DFT)
    - Discrete Element Method (DEM)
    - Finite Element Method (FEM)

(See CV for detailed publication list and methodologies)

+ 10 workshops and conferences

- - - I participated in multiple conferences presenting my work as oral presentations or posters.
    - Scientific and industrial conferences.
      - Industrial events for networking with potential clients.
      - Events organized by incubators or start-up accelerators.

(See CV for relevant events)

Work Experience at:

- - - Queen's University Belfast (+4 years)
    - EMPA (2 years)
    - LRCS - UPJV (2 years)

(See CV for relevant jobs)

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