Andrey Golov

I am a computational chemist with over 10 years of experience in theoretical materials science and cheminformatics. My research focuses on developing novel methodologies and computational tools for the design, high-throughput screening, and characterization of functional materials. I bring deep expertise in software engineering, quantum chemistry, and data-driven approaches to accelerate materials discovery and advance technologies.

Currently, I work as a researcher at CIC energiGUNE, where I have developed a computational workflow that integrates DFT, machine-learned interatomic potentials, and molecular dynamics to model SEI formation. This work has led to a fourfold improvement in interfacial stability. I have also contributed to major European battery projects, collaborating with industry and academic partners, delivering project deliverables, and co-authoring peer-reviewed publications.

My background includes a Ph.D. in Chemical Science from Samara University, where I developed methods for geometrical-topological characterization of microporous crystalline compounds. I have implemented several software tools and databases that have been utilized in numerous publications, showcasing my commitment to advancing the field through innovative solutions.