Pernilla Ekborg Tanner

Research

Pernilla’s Ph.D. studies are focused on predicting the thermodynamic and optical properties of Pd-based nanoalloy particles and structures, in particular in the context of hydrogen sensing. To this end, she employs methods such as density functional theory, alloy cluster expansions, electrodynamics simulations as well as machine learning algorithms.

Education

• 2022: Licentiate in Physics; Chalmers University of Technology

• 2019: M.Sc. in Applied Physics; Chalmers University of Technology

• 2017: B.Sc. in Applied Physics; 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
  arXiv:2312.15372 (2023)
• Computational Design of Alloy Nanostructures for Optical Sensing of Hydrogen Permalink
  P. Ekborg-Tanner, J. M. Rahm, V. Rosendal, M. Bancerek, T. P. Rossi, T. J. Antosiewicz, and P. Erhart
  ACS Applied Nano Materials 5, 10225 (2022)
• Hydrogen-driven Surface Segregation in Pd-alloys from Atomic Scale Simulations Permalink
  P. Ekborg-Tanner and P. Erhart
  Journal of Physical Chemistry C 125, 17248 (2021)

Theses

• Pd-nanoalloys for hydrogen sensing: Multiscale modeling of thermodynamic and optical properties Permalink
  P. Ekborg-Tanner, Licentiate Thesis (2022)
• Ordering and segregation in the PdAuCu system: Bulk vs. surface Permalink
  P. Tanner, Master′s Thesis (2019)