activity
20172026
most citedThe hiphive package for the extraction of high-order force constants by machine learning

477 citations · 1.3k across the 32 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cond-mat.mtrl-sci2023★ 20 cited

Understanding correlations in BaZrO3:Structure and dynamics on the nano-scale

Erik Fransson, Petter Rosander, Paul Erhart +1

Barium zirconate BaZrO3 is one of few perovskites that is claimed to retain an average cubic structure down to 0K at ambient pressure, while being energetically very close to a tet…

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★ 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★ 11 cited

Anharmonicity of the antiferrodistortive soft mode in barium zirconate BaZrO

Petter Rosander, Erik Fransson, Cosme Milesi-Brault +6

Barium zirconate (BaZrO) is one of the very few perovskites that is claimed to retain an average cubic structure down to \SI{0}{\K}, while being energetically very close to an…

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…