5 papers
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…
Local indirect magnetoelectric coupling at twin walls in CaMnO
Ida C. Skogvoll, Benjamin A. D. Williamson, Sverre M. Selbach
Ferroelastic twin walls in centrosymmetric perovskites can host emergent polar and magnetic properties forbidden in the bulk. We use density functional theory calculations to study…
Finite-Temperature Ferroelectric Phase Transitions from Machine-Learned Force Fields
Kristoffer Eggestad, Ida C. Skogvoll, Øystein Gullbrekken +2
Simulating finite temperature phase transitions from first-principles is computationally challenging. Recently, molecular dynamics (MD) simulations using machine-learned force fiel…
Ferroelectric domain walls for environmental sensors
L. Richarz, I. C. Skogvoll, E. Y. Tokle +9
Domain walls in ferroelectric oxides provide fertile ground for the development of next-generation nanotechnology. Examples include domain-wall-based memory, memristors, and diodes…
Tunable anisotropic quantum Rabi model via a magnon--spin-qubit ensemble
Ida C. Skogvoll, Jonas Lidal, Jeroen Danon +1
The ongoing rapid progress towards quantum technologies relies on new hybrid platforms optimized for specific quantum computation and communication tasks, and researchers are striv…