Rasmus Christensen

Rasmus Christensen

JSPS Postdoctoral Researcher

I specialize in computational materials science, with a focus on disordered materials, atomic simulations, and machine learning. My research lies at the intersection of these fields, where I explore the fundamental physics and chemistry underlying material behavior through atomistic simulations and data science methodologies.

Currently, I am a JSPS Postdoctoral Researcher at Tohoku University. Previously, I was a 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.

Here you can find information about my research projects, publications, and conference presentations. Please feel free to explore and reach out 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

Adv. Energy Mater. 2025
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Accelerating the Discovery of High-Conductivity Glass Electrolytes via Machine Learning

Rasmus Christensen & Morten M. Smedskjær

Project

  • 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.
J. Mater. Chem. A 2025
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Structural origin of disorder-induced ion conduction in NaFePO4 cathode materials

Rasmus Christensen, Kristin A. Persson, and Morten M. Smedskjær

Project

  • This study utilizes a machine learning potential based on the atomic cluster expansion (ACE) to investigate the enhanced sodium-ion mobility in amorphous $NaFePO_4$. By employing molecular dynamics simulations, we reveal that ion diffusion in these glassy cathodes is highly heterogeneous and governed by specific local structural features.

🎖 Grants and Awards

  • 2025.08 JSPS Postdoctoral Fellowship (Short-term) for “Computational Design of Ultra-Low Loss Glass Fibers for Quantum Communication.”
  • 2025.04 Co-PI, EuroHPC JU “Extreme Scale Access” computational grant on LUMI (18 million CPU core hours).
  • 2024.05 Best Graduate Student Poster Prize (Second Place) at the Glass & Optical Materials Division Annual Meeting (GOMD 2024).
  • 2022.06 Danish Data Science Academy PhD Fellowship for “Computational design of disordered electrode materials for batteries” (1,890,000 DKK).

📖 Educations

  • 2022-2025 Ph.D. in Materials Chemistry, Aalborg University, Denmark

  • 2018-2020 M.Sc. in Chemistry, Aalborg University, Denmark

  • 2015-2018 B.Sc. in Chemistry, Aalborg University, Denmark

💬 Conference Talks

Contributed talks (presenter)

  • The 17th International Conference on the Physics of Non-Crystalline Solids 2025, Tsukuba, Japan (August 2025)

  • Glass & Optical Materials Division Annual Meeting 2024 (GOMD 2024), Las Vegas, USA (May 2024)

  • MRS Fall Meeting, Boston, USA (November 2023)

  • ICG Annual Meeting 2023, Hangzhou, China (November 2023)

  • 26th International Congress on Glass, Berlin, Germany (July 2022)

Professional Service

Journal Reviewer