118 research outputs found
Electronic origin of spin-phonon coupling effect in transition-metal perovskites
By applying Wannier-based extended Kugel-Khomskii model, we carry out
first-principles calculations and electronic structure analysis to understand
the spin-phonon coupling effect in transition-metal perovskites. We demonstrate
the successful application of our approach to SrMnO and BiFeO. We show
that both the electron orbitals under crystal field splitting and the
electronic configuration should be taken into account in order to understand
the large variances of spin-phonon coupling effects among various phonon modes
as well as in different materials.Comment: 5 pages, 1 figur
Interface induced giant magnetoelectric coupling in multiferroic superlattices
The electric and magnetic properties of (BaTiO)/(CaMnO)
short-period superlattices are studied by the first-principles calculations.
The local electric polarizations in the CaMnO layers are significant,
comparable to that in the BaTiO layers. Remarkably, the electric
polarization is almost doubled when the spin configuration changes from
antiferromagnetic to ferromagnetic in the superlattices, indicating a giant
magnetoelectric coupling. This enhancement of the magnetoelectric coupling is
due to the suppression of the antiferrodistortive mode in the CaMnO layers
at the interfaces
Tuning the Magnetic Ordering Temperature of Hexagonal Ferrites by Structural Distortion Control
To tune the magnetic properties of hexagonal ferrites, a family of
magnetoelectric multiferroic materials, by atomic-scale structural engineering,
we studied the effect of structural distortion on the magnetic ordering
temperature (TN). Using the symmetry analysis, we show that unlike most
antiferromagnetic rare-earth transition-metal perovskites, a larger structural
distortion leads to a higher TN in hexagonal ferrites and manganites, because
the K3 structural distortion induces the three-dimensional magnetic ordering,
which is forbidden in the undistorted structure by symmetry. We also revealed a
near-linear relation between TN and the tolerance factor and a power-law
relation between TN and the K3 distortion amplitude. Following the analysis, a
record-high TN (185 K) among hexagonal ferrites was predicted in hexagonal
ScFeO3 and experimentally verified in epitaxially stabilized films. These
results add to the paradigm of spin-lattice coupling in antiferromagnetic
oxides and suggests further tunability of hexagonal ferrites if more lattice
distortion can be achieved
Stabilization of highly polar BiFeO-like structure: a new interface design route for enhanced ferroelectricity in artificial perovskite superlattices
In ABO3 perovskites, oxygen octahedron rotations are common structural
distortions that can promote large ferroelectricity in BiFeO3 with an R3c
structure [1], but suppress ferroelectricity in CaTiO3 with a Pbnm symmetry
[2]. For many CaTiO3-like perovskites, the BiFeO3 structure is a metastable
phase. Here, we report the stabilization of the highly-polar BiFeO3-like phase
of CaTiO3 in a BaTiO3/CaTiO3 superlattice grown on a SrTiO3 substrate. The
stabilization is realized by a reconstruction of oxygen octahedron rotations at
the interface from the pattern of nonpolar bulk CaTiO3 to a different pattern
that is characteristic of a BiFeO3 phase. The reconstruction is interpreted
through a combination of amplitude-contrast sub 0.1nm high-resolution
transmission electron microscopy and first-principles theories of the
structure, energetics, and polarization of the superlattice and its
constituents. We further predict a number of new artificial ferroelectric
materials demonstrating that nonpolar perovskites can be turned into
ferroelectrics via this interface mechanism. Therefore, a large number of
perovskites with the CaTiO3 structure type, which include many magnetic
representatives, are now good candidates as novel highly-polar multiferroic
materials [3].Comment: Phys. Rev. X, in productio
X-ray absorption of liquid water by advanced ab initio methods
Oxygen K-edge X-ray absorption spectra of liquid water are computed based on
the configurations from advanced ab initio molecular dynamics simulations, as
well as an electron excitation theory from the GW method. One one hand, the
molecular structures of liquid water are accurately predicted by including both
van der Waals interactions and hybrid functional (PBE0). On the other hand, the
dynamic screening effects on electron excitation are approximately described by
the recently developed enhanced static Coulomb hole and screened exchange
approximation by Kang and Hybertsen [Phys. Rev. B 82, 195108 (2010)]. The
resulting spectra of liquid water are in better quantitative agreement with the
experimental spectra due to the softened hydrogen bonds and the slightly
broadened spectra originating from the better screening model.Comment: 10 pages, 5 figures, accepted by Phys. Rev.
Deep neural network for the dielectric response of insulators
We introduce a deep neural network to model in a symmetry preserving way the
environmental dependence of the centers of the electronic charge. The model
learns from ab-initio density functional theory, wherein the electronic centers
are uniquely assigned by the maximally localized Wannier functions. When
combined with the Deep Potential model of the atomic potential energy surface,
the scheme predicts the dielectric response of insulators for trajectories
inaccessible to direct ab-initio simulation. The scheme is non-perturbative and
can capture the response of a mutating chemical environment. We demonstrate the
approach by calculating the infrared spectra of liquid water at standard
conditions, and of ice under extreme pressure, when it transforms from a
molecular to an ionic crystal
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