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We have used an effective model of ferroelectric PbTiO$_{3}$, which displays a representative soft mode-driven phase transition, to investigate how different features of the potential-energy surface affect the transition temperature $T_{\rm…

Materials Science · Physics 2013-12-05 Jacek C. Wojdeł , Jorge Íñiguez

The large-scale search for high-performing candidate 2D materials is limited to calculating a few simple descriptors, usually with first-principles density functional theory calculations. In this work, we alleviate this issue by extending…

Materials Science · Physics 2020-07-07 Victor Venturi , Holden Parks , Zeeshan Ahmad , Venkatasubramanian Viswanathan

Cesium based halide perovskites, such as CsPbI3 and CsSnI3, have emerged as exceptional candidates for next generation photovoltaic and optoelectronic technologies, but their practical application is limited by temperature dependent phase…

Materials Science · Physics 2025-10-30 Atefe Ebrahimi , Franco Pellegrini , Stefano De Gironcoli

The free energy of barium titanate is computed around the Curie temperature as a function of polarization from the first-principles derived effective hamiltonian of Zhong, Vanderbilt and Rabe [Phys. Rev. Lett. 73, 1861 (1994)], through…

Materials Science · Physics 2015-05-13 Gregory Geneste

Ferroelectric materials are a class of dielectrics that exhibit spontaneous polarization which can be reversed under an external electric field. The emergence of ferroelectric order in incipient ferroelectrics is a topic of considerable…

Materials Science · Physics 2025-10-31 Yu Zhu , Luigi Ranalli , Taikang Chen , Wei Ren , Cesare Franchini

A phenomenological thermodynamic potential was constructed based on the symmetry analysis and property characterization of bulk DyCo2. An eight-order polynomial of Landau expansion was employed to describe the thermodynamic behavior of…

Materials Science · Physics 2017-04-19 Dongyan Zhang , Chao Zhou , Sen Yang , Zhimin Li , Xiaoping Song

Atomistic control of phase boundaries is crucial for optimizing the functional properties of solid-solution ferroelectrics, yet their microstructural mechanisms remain elusive. Here, we harness machine-learning-driven molecular dynamics to…

Materials Science · Physics 2025-05-09 Weiru Wen , Fan-Da Zeng , Ben Xu , Bi Ke , Zhipeng Xing , Hao-Cheng Thong , Ke Wang

Strontium titanate is an incipient ferroelectric in which superconductivity emerges at exceptionally low doping levels. Remarkably, stabilizing the polar phase through strain or chemical substitution has been shown to significantly enhance…

Materials Science · Physics 2022-12-15 Alex Hallett , John W. Harter

Barium titanate (BaTiO$_3$) is a prototypical ferroelectric perovskite that undergoes the rhombohedral-orthorhombic-tetragonal-cubic phase transitions as the temperature increases. In this work, we develop a classical interatomic potential…

Materials Science · Physics 2016-11-23 Yubo Qi , Shi Liu , Ilya Grinberg , Andrew M. Rappe

We present a first-principles-based (second-principles) scheme that permits large-scale materials simulations including both atomic and electronic degrees of freedom on the same footing. The method is based on a predictive…

Materials Science · Physics 2016-06-08 Pablo García-Fernández , Jacek C. Wojdeł , Jorge Íñiguez , Javier Junquera

Alloy-based perovskite solar cells offer tunable properties and improved stability, but their complexity has impeded accurate modeling, hindering development. We present a machine-learning (ML) accelerated atomistic modeling approach for…

Materials Science · Physics 2026-05-29 Jarno Laakso , Armi Tiihonen , Patrick Rinke

Soft porous crystals are flexible metal-organic frameworks that respond to physical stimuli such as temperature, pressure, and gas adsorption by large changes in their structure and unit cell volume. While they have attracted a lot of…

Statistical Mechanics · Physics 2012-10-19 David Bousquet , François-Xavier Coudert , Anne Boutin

In recent yerars, Bismuth sodium titanate (BNT) and BNT-based piezoelectric materials have proved potential for lead-free piezoelectric technologies. Such materials' complicated phase structure is crucial to their thermo-electromechanical…

Materials Science · Physics 2024-10-08 Akshayveer , Federico C Buroni , Roderick Melnik , Luis Roderiguez-Tembleque , Andres Saez

We have developed first-principles models, based on a general parametrization of the full potential-energy surface, to investigate the lattice-dynamical properties of perovskite oxides. We discuss the application of our method to prototypic…

Materials Science · Physics 2012-04-17 Jacek C. Wojdeł , Patrick Hermet , Mathias P. Ljungberg , Philippe Ghosez , Jorge Íñiguez

The question of the origin of the piezoelectric properties enhancement in perovskite ferroelectrics is approached by analyzing the Gibbs free energy of tetragonal BaTiO3, PbTiO3 and Pb(Zr,Ti)O3 in the framework of the…

Materials Science · Physics 2007-05-23 Marko Budimir , Dragan Damjanovic , Nava Setter

Design of novel artificial materials based on ferroelectric perovskites relies on the basic principles of electrostatic coupling and in-plane lattice matching. These rules state that the out-of-plane component of the electric displacement…

Materials Science · Physics 2016-01-20 Claudio Cazorla , Massimiliano Stengel

PbTiO$_3$ is a simple but very important ferroelectric oxide that has been extensively studied and widely used in various technological applications. However, most previous studies and applications were based on the bulk material or the…

Materials Science · Physics 2015-11-11 Huimin Zhang , Ming An , Xiaoyan Yao , Shuai Dong

We present a first-principles study on the interface between perovskite ferroelectrics (PbTiO3) and conducting magnetic manganites La_{1-x}Sr_xMnO3. We show that by switching the ferroelectric polarization, additional carriers are…

Materials Science · Physics 2015-06-11 Hanghui Chen , Sohrab Ismail-Beigi

The properties of materials near structural phase transitions are often successfully described in the framework of Landau theory. While the focus is usually on phase transitions, which are induced by temperature changes approaching a…

Materials Science · Physics 2010-01-19 W. Schranz , A. Troester , J. Koppensteiner , R. Miletich

We review recent advances in machine-learning (ML) force-field methods for large-scale Landau-Lifshitz-Gilbert (LLG) simulations of metallic spin systems. We generalize the Behler-Parrinello (BP) ML architecture -- originally developed for…

Strongly Correlated Electrons · Physics 2026-04-14 Gia-Wei Chern , Yunhao Fan , Sheng Zhang , Puhan Zhang