Single Atom Alloys, Density Functional Theory, at Machine Learning | Marianne Palmero
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Single Atom Alloys, Density Functional Theory, at Machine Learning | Marianne Palmero
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Guest: Marianne Palmero | UPLB
In this episode of #LiknayanPodcast, we sit down with Marianne Palmero, a Project Technical Assistant at the University of the Philippines Los Baños. Marianne shares her expertise and groundbreaking research in the fields of density functional theory, computational materials, and the intersection of machine learning with deep learning in materials science.
In this episode, Marianne discusses her role in the DOST-PCIEERD and the East Asia Science and Innovation Area Joint Research Program, led by Dr. Allan Abraham B. Padama. We delve into her latest research paper, "The Tendency of V Segregation in Pd/V(110) and Pd/V(100) Surfaces Induced by H Adsorption," which investigates the atom segregation in palladium/vanadium surfaces—a promising hydrogen-permeable material for hydrogen-based technology.