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

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

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12 papers · 1 filter

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…