Anderson Arboleda-Lamus is a PhD student in the Department of Physics, King’s College London. His PhD project, under the supervision of Carla de Tomas, is focused on the data-driven optimisation and multiscale modelling of disordered and porous carbon materials for sustainable battery technologies, contributing to the global transition towards Net Zero emissions.

He graduated in Chemistry and Petroleum Engineering from the Industrial University of Santander, Colombia, where he later specialised in computational chemistry through a Master of Science in Chemistry. He developed expertise in molecular dynamics and density functional theory during his time as a Research Assistant in the Department of Chemical Engineering at Texas A&M University.

Research Interests

• Computational Chemistry and multiscale modelling.
• Carbon Materials Science
• Batteries and Energy Storage
• Mineral dissolution
• Enhanced Oil Recovery

Thesis title and abstract

Machine Learning-Driven Optimization of Ion Batteries

Publications

• Balancing solvation: stabilizing lithium metal batteries via optimized cosolvents for ionic-liquid electrolytes
• Dissolution mechanisms of gypsum, bassanite, and anhydrite: A molecular dynamics simulation approach
• Study of the pH effects on water-oil-illite interfaces by molecular dynamics
• Salinity and pH effect on water-oil-calcite interfaces by molecular dynamics
• Estudio de la acuatermólisis catalítica en procesos de upgrading de crudos pesados como método complementario en el recobro térmico de hidrocarburos
• Orcid
• Google Scholar