Fredrik Eriksson
Ph.D. student
joined 2016/12
office: Origo, R7108A
orcid.org/0000000279455483
LinkedIn/fredrikeriksson2b4ab5103
Google Scholar/Q7YrImwAAAAJ
freeriks@chalmers.se
Research
Fredrik’s research concerns methods and models for describing the vibrational properties of solids. Specifically, he studies phononphonon scattering in relation to modeling thermal transport in materials. He is also the main developer of the hiphive package.
Education

2022: Licentiate in Physics; Chalmers University of Technology

2018: M.Sc. in Applied Physics; Chalmers University of Technology

2014: B.Sc. in Applied Physics; Chalmers University of Technology
Publications

Tuning the lattice thermal conductivity in vanderWaals structures through rotational (dis)ordering Permalink
F. Eriksson, E. Fransson, C. Linderälv, Z. Fan, and P. Erhart
arXiv:2304.06978 (2023) 
Limits of the phonon quasiparticle picture at the cubictotetragonal phase transition in halide perovskites Permalink
E. Fransson, P. Rosander, F. Eriksson, J. M. Rahm, T. Tadano, and P. Erhart
Communications Physics 6, 173 (2023) 
Extremely anisotropic van der Waals thermal conductors Permalink
S. E. Kim, F. Mujid, A. Rai, F. Eriksson, J. Suh, P. Poddar, A. Ray, C. Park, E. Fransson, Y. Zhong, D. A. Muller, P. Erhart, D. G. Cahill, and J. Park
Nature 597, 660 (2021) 
Efficient calculation of the lattice thermal conductivity by atomistic simulations with abinitio accuracy Permalink
J. Brorsson, A. Hashemi, Z. Fan, E. Fransson, F. Eriksson, T. AlaNissila, A. V. Krasheninnikov, H. Komsa, and P. Erhart
Advanced Theory and Simulations 4, 2100217 (2021) 
Efficient construction of linear models in materials modeling and applications to force constant expansions Permalink
E. Fransson, F. Eriksson, and P. Erhart
npj Computational Materials 6, 135 (2020) 
Thermal conductivity in intermetallic clathrates: A firstprinciples perspective Permalink
D. O. Lindroth, J. Brorsson, E. Fransson, F. Eriksson, A. Palmqvist, and P. Erhart
Physical Review B 100, 19078 (2019) 
The hiphive package for the extraction of highorder force constants by machine learning Permalink
F. Eriksson, E. Fransson, and P. Erhart
Advanced Theory and Simulations 2, 1800184 (2019)
Theses

Development and application of techniques for predicting and analysing phononderived materials properties Permalink
F. Eriksson, Licentiate Thesis (2022) 
An efficient approach for extracting anharmonic force constants from atomistic simulations Permalink
F. Eriksson, Master′s Thesis (2018) 
The battle between Energy and Entropy: Molecular Dynamics and Free Energies Permalink
F. Eriksson, M. Kjelltoft, O. Larsson, and M. Svensson, Bachelor′s Thesis (2014)