I specialize in computational material science, with a particular focus on the fields of disordered materials, atomic simulations, and machine learning. My research interests lie at the intersection of these areas, where I explore the fundamental physics and chemistry underlying the behavior of materials through atomistic simulations, gaining a deeper understanding of these relations through the use of different data science methods.
Previous Ph.D. Fellow in the Glass Structure and Mechanics Group at Aalborg University, Department of Chemistry and Bioscience co-supervised by Morten M. Smedskjær and Lisbeth Fajstrup.
On this website, you can find information about my research projects, publications, and conference presentations. Please feel free to explore and reach out to me with any questions or collaboration opportunities.
🔥 News
- 2025.12: Starting a new position as a JSPS Postdoctoral Researcher at Tohoku University, Japan
- 2025.10: Successfully defended my Ph.D. thesis at Aalborg University, Department of Chemistry and Bioscience 🎉🎉
📝 Highlighted Publications
Accelerating the Discovery of High-Conductivity Glass Electrolytes via Machine Learning
Rasmus Christensen & Morten M. Smedskjær
- A machine learning interatomic potential is introduced for rapid prediction of sodium-ion conductivity in a wide range of glass electrolytes across 1,303 compositions. The study demonstrates how anion chemistry, particularly sulphides and halides, governs ion mobility, and identifies structural descriptors linked to ionic conductivity. The findings offer a data-driven approach to designing high-performance glassy solid electrolytes for batteries.
Structural origin of disorder-induced ion conduction in NaFePO4 cathode materials
Rasmus Christensen, Kristin A. Persson, and Morten M. Smedskjær
🎖 Grants and Awards
- 2025.08 Awarded a short-term JSPS Postdoctoral Fellowship for the project “Computational Design of Ultra-Low Loss Glass Fibers for Quantum Communication”
- 2025.04 Co-PI for Computational grant for “Extreme Scale Access” on LUMI from the European High Performance Computing Joint Undertaking (EuroHPC JU) (18 million CPU core hours)
- 2024.05 Best Graduate Student Poster Prize (Second Place) at the Glass & Optical Materials Division Annual Meeting 2024 (GOMD 2024)
- 2022.06 Awarded the Danish Data Science Academy PhD fellowship grant for the project “Computational design of disordered electrode materials for batteries” (1,890,000 DKK)
📖 Educations
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2020-2022 Ph.D. in Materials Chemistry, Aalborg University, Denmark
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2018-2020 M.Sc. in Chemistry, Aalborg University, Denmark
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2015-2018 B.Sc. in Chemistry, Aalborg University, Denmark
💬 Conference Talks
Contributed talks (presenter)
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The 17th International Conference on the Physics of Non-Crystalline Solids 2025, Tsukuba, Japan (August 2025)
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Glass & Optical Materials Division Annual Meeting 2024 (GOMD 2024), Las Vegas, USA (May 2024)
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MRS Fall Meeting, Boston, USA (November 2023)
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ICG Annual Meeting 2023, Hangzhou, China (November 2023)
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26th International Congress on Glass, Berlin, Germany (July 2022)