5 papers
A family tree for hafnia
Nicolaie Cernov, Jorge Ãñiguez-González, Hugo Aramberri
Several candidate reference phases have been proposed to discuss phase transitions and ferroelectricity in hafnia in recent years. Although these proposals comply with crystallogra…
Minimalist machine-learned interatomic potentials can predict complex structural behaviors accurately
Iñigo Robredo-Magro, Binayak Mukherjee, Hugo Aramberri +1
The past decade has witnessed a spectacular development of machine-learned interatomic potentials (MLIPs), to the extent that they are already the approach of choice for most atomi…
Chiral soft mode transition driven by strain in ferroelectric bubble domains
Urmimala Dey, Natalya S. Fedorova, Jorge Ãñiguez-González +1
Chirality in solids is attracting growing attention as a potential ferroic order, yet virtually no paradigmatic example of a soft-mode achiral-to-chiral phase transition has been f…
Machine learning Landau free energy potentials
Mauro Pulzone, Natalya S. Fedorova, Hugo Aramberri +1
We show how to construct Landau-like free energy potentials using a machine-learning approach. For concreteness, we focus on perovskite oxide PbTiO. We work with a training s…
Creating currents of electric bubbles
Jorge Ãñiguez-González, Hugo Aramberri
The experimental demonstration of electric skyrmion bubbles and the recent prediction of their Brownian motion have brought topological ferroelectrics close to their magnetic count…