Scholar
Filip Ekström Kelvinius
Google Scholar ID: L94IReoAAAAJ
Linköping University
Citations & Impact
Citations
61
H-index
4
i10-index
2
Publications
8
Co-authors
7
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Publications: WyckoffDiff and DDSMC accepted to ICML; Code Releases: WyckoffDiff (https://github.com/httk/wyckoffdiff) and DDSMC (https://github.com/filipekstrm/ddsmc); PhD thesis available online.
Research Experience
- Position: PhD Student; Research Projects: Graph neural networks and diffusion models.
Education
- Degree: PhD; Institution: Linköping University; Supervisor: Professor Fredrik Lindsten; Graduation Date: November 2025; Specialization: Machine Learning.
Background
- Research Interests: Deep learning methods, discovery of new materials; Field: Machine Learning; Brief Introduction: PhD student in Machine Learning at Linköping University, supervised by Professor Fredrik Lindsten.
Miscellany
- Job Market: Will graduate in November 2025 and is looking for the next step in his career.
