Viktor Martvall

Research

Viktor’s PhD research is concerned with the development of machine learning models for optical sensing applications. Previously, in his Master’s thesis project, he developed machine learning models for molecular solar thermal storage materials and used them to analyze the back-conversion reaction.

Education

• 2022: M.Sc. in Applied Physics; Chalmers University of Technology
  Machine learning models for molecular potential energy surfaces
• 2020: B.Sc in Applied Mathematics; Chalmers University of Technology

Publications

• Accelerating Plasmonic Hydrogen Sensors for Inert Gas Environments by Transformer-Based Deep Learning Permalink
  V. Martvall, H. K. Moberg, A. Theodoridis, D. Tomeček, P. Ekborg-Tanner, S. Nilsson, G. Volpe, P. Erhart, and C. Langhammer
  ACS Sensors 10, 376 (2025)

Theses

• Deep Learning for Acceleration of Plasmonic Hydrogen Sensors Permalink
  V. Martvall, Licentiate Thesis (2025)
• Machine learning models for molecular potential energy surfaces Permalink
  V. Martvall, Master′s Thesis (2022)