activity
20102023
most citedThe hiphive package for the extraction of high-order force constants by machine learning

477 citations · 4.6k across the 66 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cond-mat.mtrl-sci2023★ 32 cited

Revealing the free energy landscape of halide perovskites: Metastability and transition characters in CsPbBr and MAPbI

Erik Fransson, J. Magnus Rahm, Julia Wiktor +1

Halide perovskites have emerged as a promising class of materials for photovoltaic applications. A challenge in these applications is how to prevent the crystal structure from degr…

cond-mat.mtrl-sci2023★ 17 cited

Small-angle scattering tensor tomography algorithm for robust reconstruction of complex textures

Leonard C. Nielsen, Paul Erhart, Manuel Guizar-Sicairos +1

The development of small-angle scattering tensor tomography has enabled the study of anisotropic nanostructures in a volume-resolved manner. It is of great value to have reconstruc…

cond-mat.mtrl-sci2023★ 43 cited

Quantifying Dynamic Tilting in Halide Perovskites: Chemical Trends and Local Correlations

Julia Wiktor, Erik Fransson, Dominik Kubicki +1

Halide perovskites have emerged as one of the most interesting materials for optoelectronic applications due to their favorable properties, such as defect-tolerance and long charge…

cond-mat.mtrl-sci2023★ 49 cited

Tuning the lattice thermal conductivity in van-der-Waals structures through rotational (dis)ordering

Fredrik Eriksson, Erik Fransson, Christopher Linderälv +2

It has recently been demonstrated that MoS2 with irregular interlayer rotations can achieve an extreme anisotropy in the lattice thermal conductivity (LTC), which is for example of…

cond-mat.mtrl-sci2023★ 68 cited

Phase transitions in inorganic halide perovskites from machine learning potentials

Erik Fransson, Julia Wiktor, Paul Erhart

The atomic scale dynamics of halide perovskites have a direct impact not only on their thermal stability but their optoelectronic properties. Progress in machine learned potentials…