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

collaborators

68 papers

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…

cond-mat.mtrl-sci2022★ 53 cited

Limits of the phonon quasi-particle picture at the cubic-to-tetragonal phase transition in halide perovskites

Erik Fransson, Petter Rosander, Fredrik Eriksson +3

The soft modes associated with continuous-order phase transitions are associated with strong anharmonicity. This leads to the overdamped limit where the phonon quasi-particle pictu…

physics.comp-ph2022★ 463 cited

GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations

Zheyong Fan, Yanzhou Wang, Penghua Ying +17

We present our latest advancements of machine-learned potentials (MLPs) based on the neuroevolution potential (NEP) framework introduced in [Fan et al., Phys. Rev. B 104, 104309 (2…

cond-mat.mes-hall2022

Hot-carrier transfer across a nanoparticle-molecule junction: The importance of orbital hybridization and level alignment

Jakub Fojt, Tuomas P Rossi, Paul Erhart

While direct hot-carrier transfer can increase photo-catalytic activity, it is difficult to discern experimentally and competes with several other mechanisms. To shed light on thes…

cond-mat.mtrl-sci2022★ 3 cited

The moiré potential in twisted transition metal dichalcogenide bilayers

Christopher Linderälv, Joakim Hagel, Samuel Brem +2

Moiré superlattices serve as a playground for emerging phenomena, such as localization of band states, superconductivity, and localization of excitons. These superlattices are larg…

cond-mat.mtrl-sci2022★ 12 cited

High-throughput characterization of transition metal dichalcogenide alloys: Thermodynamic stability and electronic band alignment

Christopher Linderälv, J. Magnus Rahm, Paul Erhart

Alloying offers a way to tune many of the properties of the transition metal dichalcogenide (TMD) monolayers. While these systems in many cases have been thoroughly investigated pr…

cond-mat.mtrl-sci2022★ 12 cited

Computational Design of Alloy Nanostructures for Optical Sensing of Hydrogen

Pernilla Ekborg-Tanner, J. Magnus Rahm, Victor Rosendal +4

Pd nanoalloys show great potential as hysteresis-free, reliable hydrogen sensors. Here, a multi-scale modeling approach is employed to determine optimal conditions for optical hydr…

cond-mat.mtrl-sci2021★ 15 cited

Quantitative predictions of thermodynamic hysteresis: Temperature-dependent character of the phase transition in Pd-H

J. Magnus Rahm, Joakim Löfgren, Paul Erhart

The thermodynamics of phase transitions between phases that are size-mismatched but coherent differs from conventional stress-free thermodynamics. Most notably, in open systems suc…

cond-mat.mes-hall2021★ 49 cited

Exciton landscape in van der Waals heterostructures

Joakim Hagel, Samuel Brem, Christopher Linderälv +2

van der Waals heterostructures consisting of vertically stacked transition-metal dichalcogenides (TMDs) exhibit a rich landscape of bright and dark intra- and interlayer excitons.…

cond-mat.mtrl-sci2021★ 26 cited

A tale of two phase diagrams: Interplay of ordering and hydrogen uptake in Pd-Au-H

J. Magnus Rahm, Joakim Löfgren, Erik Fransson +1

Due to their ability to reversibly absorb/desorb hydrogen without hysteresis, Pd--Au nanoalloys have been proposed as materials for hydrogen sensing. For sensing, it is important t…

cond-mat.mes-hall2021★ 17 cited

Dipolar coupling of nanoparticle-molecule assemblies: An efficient approach for studying strong coupling

Jakub Fojt, Tuomas P. Rossi, Tomasz J. Antosiewicz +2

Strong light-matter interactions facilitate not only emerging applications in quantum and non-linear optics but also modifications of materials properties. In particular the latter…

cond-mat.mtrl-sci2020★ 32 cited

Photoluminescence Lineshapes for Color Centers in Silicon Carbide from Density Functional Theory Calculations

Arsalan Hashemi, Christopher Linderalv, Arkady V. Krasheninnikov +3

Silicon carbide with optically and magnetically active point defects offers unique opportunities for quantum technology applications. Since interaction with these defects commonly…

cond-mat.mtrl-sci2020★ 81 cited

DYNASOR -- A tool for extracting dynamical structure factors and current correlation functions from molecular dynamics simulations

Erik Fransson, Mattias Slabanja, Paul Erhart +1

Perturbative treatments of the lattice dynamics are widely successful for many crystalline materials, their applicability is, however, limited for strongly anharmonic systems, meta…

cond-mat.mes-hall2020★ 148 cited

Tunable Phases of Moiré Excitons in van der Waals Heterostructures

Samuel Brem, Christopher Linderälv, Paul Erhart +1

Stacking monolayers of transition metal dichalcogenides into a heterostructure with a finite twist-angle gives rise to artificial moiré superlattices with a tunable periodicity. As…

cond-mat.mtrl-sci2020★ 90 cited

Luminescence quenching via deep defect states: A recombination pathway via oxygen vacancies in Ce-doped YAG

Christopher Linderälv, Daniel Åberg, Paul Erhart

Luminescence quenching via non-radiative recombination channels limits the efficiency of optical materials such as phosphors and scintillators and therefore has implications for co…

cond-mat.mtrl-sci2020★ 46 cited

Vibrational signatures for the identification of single-photon emitters in hexagonal boron nitride

Christopher Linderälv, Witlef Wieczorek, Paul Erhart

Color centers in h-BN are among the brightest emission centers known yet the origins of these emission centers are not well understood. Here, using first-principles calculations in…

cond-mat.mtrl-sci2020★ 5 cited

A Computational Assessment of the Efficacy of Halides as Shape-Directing Agents in Nanoparticle Growth

Joakim Löfgren, J. Magnus Rahm, Joakim Brorsson +1

We report a comprehensive study of aqueous halide adsorption on nanoparticles of gold and palladium that addresses several limitations hampering the use of atomistic modeling as a…

quant-ph2020★ 46 cited

Local vibrational modes of Si vacancy spin qubits in SiC

Z. Shang, A. Hashemi, Y. Berencén +4

Silicon carbide is a very promising platform for quantum applications because of extraordinary spin and optical properties of point defects in this technologically-friendly materia…

cond-mat.mes-hall2020★ 185 cited

Hot-Carrier Generation in Plasmonic Nanoparticles: The Importance of Atomic Structure

Tuomas P. Rossi, Paul Erhart, Mikael Kuisma

Metal nanoparticles are attractive for plasmon-enhanced generation of hot carriers, which may be harnessed in photochemical reactions. In this work, we analyze the coherent femtose…

cond-mat.mtrl-sci2019★ 22 cited

Defects from phonons: Atomic transport by concerted motion in simple crystalline metals

Erik Fransson, Paul Erhart

Point defects play a crucial role in crystalline materials as they do not only impact the thermodynamic properties but are also central to kinetic processes. While they are necessa…