Miguel Caro

Miguel Caro serves as an Assistant Professor in the Department of Chemistry and Materials at Aalto University, where his research integrates computational methods with materials science to address complex challenges in atomic-scale modeling and catalytic processes.

His primary research domains encompass:

• Materials Science
• Computational Chemistry
• Machine Learning
• Catalysis
• Nanomaterials
• Electrochemistry
• Amorphous Materials

Specializing in the development of machine learning interatomic potentials, Caro focuses on modeling hydrocarbon systems, carbon-based nanomaterials, and electrocatalytic phenomena. His work bridges theoretical simulations with experimental validation, particularly in hydrogen evolution reactions, CO₂ reduction, and thermal transport properties of disordered materials.

Recent publications (2023–2025) reveal a cohesive research trajectory centered on machine learning-driven materials discovery. Key contributions include unifying frameworks for carbon material descriptions, anomalous catalytic effects in bimetallic nanoclusters, and advanced methodologies for modeling amorphous systems. His approach consistently combines computational innovation with practical applications in energy conversion and sustainable chemistry.

Caro actively contributes to the DAS Group at Aalto University, which pioneers data-driven strategies for materials characterization and design. This collaborative environment supports his interdisciplinary investigations spanning quantum mechanics, machine learning, and experimental materials science.

No information regarding student supervision, grant funding, or scientific awards is available in the source material.