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Ferroelectricity usually fades away when materials are thinned down below a critical value. Employing the first-principles density functional theory and modern theory of polarization, we show that the unique ionic-potential anharmonicity…

Materials Science · Physics 2016-08-31 Ruixiang Fei , Wei Kang , Li Yang

We introduce the Computational 2D Materials Database (C2DB), which organises a variety of structural, thermodynamic, elastic, electronic, magnetic, and optical properties of around 1500 two-dimensional materials distributed over more than…

Polar metals, commonly defined by the coexistence of polar crystal structure and metallicity, are thought to be scarce because the long-range electrostatic fields favoring the polar structure are expected to be fully screened by the…

We have used single crystal X-ray diffraction methods to establish the crystal structures of a compound in the Pd-Mn-Si system and in the Pd-Mn-Ge system. The title compounds have structures related to the Fe$_2$P structure type and are…

Materials Science · Physics 2007-06-16 Srinivasa Thimmaiah , Claudia Felser , Ram Seshadri

Methylammonium lead iodide, as related organometal halide perovskites, emerged recently as a particularly attractive material for photovoltaic applications. The origin of its appealing properties is sometimes assigned to its potential…

Materials Science · Physics 2022-04-04 Wen-Yi Tong , Jin-Zhu Zhao , Philippe Ghosez

Two-dimensional (2D) ferromagnetic and ferroelectric materials attract unprecedented attention due to the spontaneous-symmetry-breaking induced novel properties and multifarious potential applications. Here we systematically investigate a…

Materials Science · Physics 2021-04-05 Kuan-Rong Hao , Xing-Yu Ma , Hou-Yi Lyu , Zhen-Gang Zhu , Qing-Bo Yan , Gang Su

Periodic material or crystal property prediction using machine learning has grown popular in recent years as it provides a computationally efficient replacement for classical simulation methods. A crucial first step for any of these…

Machine Learning · Computer Science 2024-05-08 Jonathan Balasingham , Viktor Zamaraev , Vitaliy Kurlin

The possibility that metals may support ferroelectricity is an open issue. Anderson and Blount showed that certain martensitic transitions involve inversion symmetry breaking and the formal existence of a polar axis, so 'metallic…

Materials Science · Physics 2016-04-08 Alessio Filippetti , Vincenzo Fiorentini , Francesco Ricci , Pietro Delugas , Jorge Íñiguez

Thermoelectric devices can directly convert waste heat into electricity, which makes them an important clean energy technology. The underlying materials performance can be evaluated by the dimensionless figure of merit ZT. Metal halides are…

Materials Science · Physics 2023-12-06 Jong Woong Park , Young-Kwang Jung , Aron Walsh

Diethyl(methyl)(isobutyl)phosphonium hexafluorophosphate, [PF$_6$][P$_{1,2,2,4}$], is an organic ionic plastic crystal with potential uses as a solid electrolyte in storage and light harvesting devices. In this work we present a molecular…

Chemical Physics · Physics 2013-11-26 Marcelo A. Carignano

The question of whether one can systematically identify (previously unknown) ferroelectric phases of a given material is addressed, taking hafnia (HfO$_2$) as an example. Low free energy phases at various pressures and temperatures are…

Materials Science · Physics 2014-08-28 Tran Doan Huan , Vinit Sharma , George A. Rossetti, , Rampi Ramprasad

The discovery of novel substrate materials has been dominated by trial and error, opening the opportunity for a systematic search. To identify stable crystal surfaces, we generate bonding networks for materials from the Materials Project…

Materials Science · Physics 2021-03-31 Joshua T. Paul , Alice Galdi , Christopher Parzyck , Kyle Shen , Richard G. Hennig

In conventional ferroelectrics the electric dipoles are generated by off-center displacements of ions. In recent years, a new type of so-called electronic ferroelectrics has attracted great attention, where the polarization is driven by…

Strongly Correlated Electrons · Physics 2024-09-24 Michael Lang , Peter Lunkenheimer , Owen Ganter , Steve Winter , Jens Müller

High-throughput calculations are a very promising tool for screening a large number of compounds in order to discover new useful materials. Ternary intermetallic are thus investigated in the present work to find new compounds potentially…

Materials Science · Physics 2020-10-22 Celine Barreteau , Jean-Claude Crivello , Jean-Marc Joubert , Eric Alleno

Crystal structures can be viewed as assemblies of space-filling polyhedra, which play a critical role in determining material properties such as ionic conductivity and dielectric constant. However, most conventional crystal structure…

Materials Science · Physics 2026-03-20 Tomoyasu Yokoyama , Kazuhide Ichikawa , Hisashi Naito

Materials that exhibit high nonlinear optical (NLO) susceptibilities are considered as promising candidates for a wide range of photonic and electronic applications. Here we argue that the ferroelectric nematic (NF) materials have…

Soft Condensed Matter · Physics 2022-03-22 C. L. Folcia , J. Ortega , R. Vidal , T. Sierra , J. Etxebarria

An atomistic approach is used to investigate finite-temperature properties of ferroelectric nanodots that are embedded in a polarizable medium. Different phases are predicted, depending on the ferroelectric strengths of the material…

Materials Science · Physics 2009-11-11 S. Prosandeev , L. Bellaiche

High-temperature electronic materials are in constant demand as the required operational range for various industries increases. Here we design $(A,A^\prime)B_2$O$_6$ perovskite oxides with [111] ``rock salt" $A$-site cation order and…

Materials Science · Physics 2014-06-11 Joshua Young , James M. Rondinelli

Using molecular dynamics simulation, we study dipolar glass in crystals composed of slightly spheroidal, polar particles and spherical, apolar impurities between metal walls. We present physical pictures of ferroelectric glass, which have…

Soft Condensed Matter · Physics 2017-03-27 Kyohei Takae , Akira Onuki

Discovering new superionic materials is essential for advancing solid-state batteries, which offer improved energy density and safety compared to the traditional lithium-ion batteries with liquid electrolytes. Conventional computational…