Viktor Martvall

Research

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

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 ASAP, n/a (2025)

Theses

• Machine learning models for molecular potential energy surfaces Permalink
  V. Martvall, Master′s Thesis (2022)