activity
20212025
most citedTrilinear coupling driven ferroelectricity in HfO

65 citations · 105 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.mtrl-sci2025

Size-effects on shift-current in layered CuInPS

Francesco Delodovici, Brahim Dkhil, Charles Paillard

Two-dimensional ferroelectrics have recently emerged as a promising avenue for next-generation optoelectronic and photovoltaic devices. Due to the intrinsic absence of inversion sy…

cond-mat.mtrl-sci2025★ 4 cited

Photogalvanic Shift Currents in BiFeO3 --LaFeO3 Superlattices

Francesco Delodovici, Charles Paillard

Designing materials with controlled photovoltaic response may lead to improved solar cells or photosensors. In this regard, ferroelectric superlattices have emerged as a rich platf…

cond-mat.mtrl-sci2024★ 13 cited

Superorders and acoustic modes folding in BiFeO/LaFeO superlattices

R. Gu, R. Xu, F. Delodovici +18

Superlattices are materials created by the alternating growth of two chemically different materials. The direct consequence of creating a superlattice is the folding of the Brillou…

cond-mat.mtrl-sci2024★ 5 cited

Oxygen tilt-driven polar super-orders in BiFeO3-based superlattices

Ran Xu, Francesco Delodovici, Brahim Dkhil +1

Ferroelectric-dielectric superlattices have attracted renewed interest for their ability to frustrate the polar order, leading to the emergence of exotic polar textures. The electr…

cond-mat.mtrl-sci2022★ 12 cited

Finite-size effects on the ferroelectricity in rhombohedral HfO

Francesco Delodovici, Paolo Barone, Silvia Picozzi

In this work we analyze the finite-size effects on the structural properties and on the polarization of the rhombohedral phase of HfO subjected to a biaxial compressive strain.…

cond-mat.mtrl-sci2022★ 6 cited

Towards machine learning for microscopic mechanisms: a formula search for crystal structure stability based on atomic properties

Udaykumar Gajera, Loriano Storchi, Danila Amoroso +2

Machine Learning (ML) techniques are revolutionizing the way to perform efficient materials modeling. Nevertheless, not all the ML approaches allow for the understanding of microsc…

cond-mat.mtrl-sci2021★ 65 cited

Trilinear coupling driven ferroelectricity in HfO

Francesco Delodovici, Paolo Barone, Silvia Picozzi

Ferroelectricity in hafnia is often regarded as a breakthrough discovery in ferroelectrics, potentially able to revolutionize the whole field. Despite increasing interests, a compr…