activity
20242026
most citedDirect, indirect, and self-trapped excitons in CsAgBiBr

27 citations · 86 across the 20 of their papers we have counts for

collaborators

23 papers

cond-mat.mtrl-sci2026

Unifying Low-Frequency Raman and Infrared Signatures across Perovskites

Ethan Berger, Erik Fransson, Apinya Ngoipala +5

Perovskites have been studied for a wide range of applications, from oxide-based ferroelectrics to halide-perovskite photovoltaics. Despite their diverse functionalities, these mat…

cond-mat.mtrl-sci2026

Anomalous polar chains in halide perovskites

Erik Fransson, Apinya Ngoipala, Priyanka Deswal +4

Local polar distortions, their collective ordering, and their field-driven reversal have been studied extensively in ferroelectric perovskites for decades. Here we identify an unus…

cond-mat.mtrl-sci2026

Machine-learning-guided exploration of domain walls in the hybrid improper ferroelectric Ca3Ti2O7

Ida C. Skogvoll, Erik Fransson, Leo Ö. Westin +4

Ruddlesden-Popper phases are highly tunable and naturally layered structures, in which polarization can arise via a hybrid improper ferroelectric mechanism. This enables a complex…

cond-mat.mtrl-sci2026

Strong Impact of Halide Ordering on Structural Phase Transitions in Mixed Perovskites

Felix Uddén, Erik Fransson, Julia Wiktor +3

Mixed halide perovskites are highly versatile semiconductors with applications in photovoltaics, light-emitting diodes, and photodetectors. Understanding their thermodynamic phase…

cond-mat.mtrl-sci2026

Interplay of B-Site Off-Centering and Molecular Orientations in the Mixed Hybrid Perovskite MAGe1xSnxI3

Erik Fransson, Apinya Ngoipala, Oskar Öjstedt +3

B-site mixing is a common strategy for tuning properties of halide perovskites. In the lead-free system MAGe1-xSn_xI3, it brings tilting and off-centering into competition. Using l…

cond-mat.mtrl-sci2026

Thermal history controls the optoelectronic response of lead halide perovskites through structure and dynamics

Milos Dubajic, Xia Liang, Johan Klarbring +26

Lead halide perovskites are promising optoelectronic materials for photovoltaics, light emission and detection. Their efficiencies in PV now approach the detailed-balance limit, le…

cond-mat.mtrl-sci2026

Octahedral Tilting in Halide Double Perovskites: Disentangling Lone-Pair Chemistry and Geometric Effects

Mehmet Baskurt, Erik Fransson, Madeleine Lindvik +2

Halide double perovskites (HDPs) have emerged as promising alternatives to their lead-based counterparts. However, their structural dynamics is less explored than that of conventio…

cond-mat.mtrl-sci2026

Revealing the kinetics of interfacial surfactant phase transitions through multiscale simulations and in-situ plasmonic sensing

Esmée Berger, Narjes Khosravian, Ferry Anggoro Ardy Nugroho +3

Surfactant self-assembly at solid-liquid interfaces governs interfacial stability, transport, and reactivity across many technologies, yet resolving interfacial surfactant phases a…

cond-mat.mtrl-sci2026★ 1 cited

Anion Ordering and Phase Stability Govern Optical Band Gaps in BaZr(S,Se)3

Erik Fransson, Michael Xu, Prakriti Kayastha +6

Chalcogenide perovskites have emerged as promising lead free materials for photovoltaic and thermoelectric applications. Among them, BaZrS3 has attracted particular attention due t…

cond-mat.mtrl-sci2026

Non-Markovian heat production in ultrafast phonon dynamics

Fredrik Erikssonm Yulong Qiao, Erik Fransson, R. Matthias Geilhufe +1

High-intensity THz laser pulses enable the light-mediated control of lattice vibrations by resonantly driving selected phonon modes. On ultrafast timescales, memory effects influen…

cond-mat.mtrl-sci2026

Efficient method for calculation of low-temperature phase boundaries

Lucas Svensson, Babak Sadigh, Christine Wu +1

Understanding phase stability and phase transformations is central to predicting material behavior under varying thermodynamic conditions. One of the earliest and most influential…

physics.comp-ph2026★ 1 cited

qNEP: A highly efficient neuroevolution potential with dynamic charges for large-scale atomistic simulations

Zheyong Fan, Benrui Tang, Esmée Berger +13

Although electrostatics can be incorporated into machine-learned interatomic potentials, existing approaches are computationally very demanding, limiting large-scale, long-time sim…

cond-mat.mtrl-sci2025★ 1 cited

Thermal Stabilization of Defect Charge States and Finite-Temperature Charge Transition Levels

Tobias Hainer, Ethan Berger, Esmée Berger +3

Point defects introduce localized electronic states that critically affect carrier trapping, recombination, and transport in functional materials. The associated charge transition…

cond-mat.mtrl-sci2025★ 1 cited

Diverse polymorphism in Ruddlesden-Popper chalcogenides

Prakriti Kayastha, Erik Fransson, Paul Erhart +1

Ruddlesden-Popper (RP) chalcogenides are stable, non-toxic candidates for optoelectronic or thermoelectric applications. The structural diversity of RP oxides is already exploited…

cond-mat.mtrl-sci2025★ 5 cited

Predicting neutron experiments from first principles: A workflow powered by machine learning

Eric Lindgren, Adam J. Jackson, Erik Fransson +6

Machine learning has emerged as a powerful tool in materials discovery, enabling the rapid design of novel materials with tailored properties for countless applications, including…

cond-mat.mtrl-sci2025

Mumott -- a Python package for the analysis of multi-modal tensor tomography data

Leonard C. Nielsen, Mads Carlsen, Sici Wang +4

Small and wide angle x-ray scattering tensor tomography are powerful methods for studying anisotropic nanostructures in a volume-resolved manner, and are becoming increasingly avai…

cond-mat.mtrl-sci2025★ 10 cited

Revealing the Low Temperature Phase of FAPbI using A Machine-Learned Potential

Sangita Dutta, Erik Fransson, Tobias Hainer +4

FAPbI is a material of interest for its potential in solar cell applications, driven by its remarkable optoelectronic properties. However, the low-temperature phase of FAPbI$_3…

cond-mat.mtrl-sci2025★ 22 cited

NEP89: Universal neuroevolution potential for inorganic and organic materials across 89 elements

Ting Liang, Ke Xu, Eric Lindgren +16

While machine-learned interatomic potentials offer near-quantum-mechanical accuracy for atomistic simulations, many are material-specific or computationally intensive, limiting the…

cond-mat.mtrl-sci2025

A Morphotropic Phase Boundary in MAFAPbI: Linking Structure, Dynamics, and Electronic Properties

Tobias Hainer, Erik Fransson, Sangita Dutta +2

Understanding the phase behavior of mixed-cation halide perovskites is critical for optimizing their structural stability and optoelectronic performance. Here, we map the phase dia…

cond-mat.mtrl-sci2025★ 10 cited

Dynasor 2: From Simulation to Experiment Through Correlation Functions

Esmée Berger, Erik Fransson, Fredrik Eriksson +4

Correlation functions, such as static and dynamic structure factors, offer a versatile approach to analyzing atomic-scale structure and dynamics. By having access to the full dynam…

cond-mat.mtrl-sci2024★ 8 cited

Untangling the Raman spectrum of cubic and tetragonal BaZrO

Petter Rosander, Erik Fransson, Nicklas Österbacka +2

Raman spectroscopy is a widely used experimental technique to study the vibrational properties of solids. Atomic scale simulations can be used to predict such spectra, but trustwor…

physics.optics2024

Defect-assisted reversible phase transition in mono- and few-layer ReS

George Zograf, Andrew B. Yankovich, Betül Küçüköz +9

Transition metal dichalcogenide (TMD) materials have attracted substantial interest due to their remarkable excitonic, optical, electrical, and mechanical properties, which are hig…

cond-mat.mtrl-sci2024★ 27 cited

Direct, indirect, and self-trapped excitons in CsAgBiBr

Mehmet Baskurt, Paul Erhart, Julia Wiktor

CsAgBiBr exhibits promising photovoltaic and light-emitting properties, making it a candidate for next-generation solar cells and LED technologies. Additionally, it serves…