معرفی
Volker Deringer is an Associate Professor of Theoretical and Computational Inorganic Chemistry at the University of Oxford's Department of Chemistry. He holds a Tutorial Fellowship at St Anne's College and teaches Inorganic Chemistry to first- and second-year students at St Anne's and Oriel Colleges. His research focuses on combining quantum mechanics with machine learning to model materials at the atomic scale, with emphasis on amorphous solids, functional materials design, and interatomic potential development.
Education: He earned his diploma (2010) and doctorate (summa cum laude, 2014) in Chemistry from RWTH Aachen University, Germany, under Prof. Richard Dronskowski. Postdoctoral positions included a Humboldt Fellowship at the University of Cambridge (2015) and a Leverhulme Early Career Fellowship (2017).
Research Interests: Machine learning interatomic potentials, structural chemistry of amorphous solids, functional materials for energy storage and electronics. His work bridges theoretical/computational methods with experimental collaborations, emphasizing practical applications like phase-change memory materials and graphene oxide systems.
Publications: Over 100 articles since 2017, including high-impact journals like Nature, Nature Chemistry, and Nature Communications. Recent work explores AI-driven materials discovery, amorphous silicon dynamics, and battery anode design. Key themes include accelerating simulations via ML, understanding disorder in materials, and developing transferable interatomic potentials.
Grants/Awards: Recipient of Alexander von Humboldt and Leverhulme Fellowships. Active in cross-disciplinary projects combining AI and materials science.
Labs/Teams: Leads a research group focused on computational materials design, collaborating with experimentalists globally. Involved in developing open-source tools like LOBSTER for chemical bonding analysis.
