598 research outputs found
Disproportionation and Metallization at Low-Spin to High-Spin Transition in Multiorbital Mott Systems
We study the thermally driven spin state transition in a two-orbital Hubbard
model with crystal field splitting, which provides a minimal description of the
physics of LaCoO3. We employ the dynamical mean-field theory with quantum
Monte-Carlo impurity solver. At intermediate temperatures we find a spin
disproportionated phase characterized by checkerboard order of sites with small
and large spin moments. The high temperature transition from the
disproportionated to a homogeneous phase is accompanied by vanishing of the
charge gap. With the increasing crystal-field splitting the temperature range
of the disproportionated phase shrinks and eventually disappears completely.Comment: 4+ pages, 4 figure
Quantum information analysis of electronic states at different molecular structures
We have studied transition metal clusters from a quantum information theory
perspective using the density-matrix renormalization group (DMRG) method. We
demonstrate the competition between entanglement and interaction localization.
We also discuss the application of the configuration interaction based
dynamically extended active space procedure which significantly reduces the
effective system size and accelerates the speed of convergence for complicated
molecular electronic structures to a great extent. Our results indicate the
importance of taking entanglement among molecular orbitals into account in
order to devise an optimal orbital ordering and carry out efficient
calculations on transition metal clusters. We propose a recipe to perform DMRG
calculations in a black-box fashion and we point out the connections of our
work to other tensor network state approaches
Giant resistance change across the phase transition in spin crossover molecules
The electronic origin of a large resistance change in nanoscale junctions
incorporating spin crossover molecules is demonstrated theoretically by using a
combination of density functional theory and the non-equilibrium Green's
functions method for quantum transport. At the spin crossover phase transition
there is a drastic change in the electronic gap between the frontier molecular
orbitals. As a consequence, when the molecule is incorporated in a two terminal
device, the current increases by up to four orders of magnitude in response to
the spin change. This is equivalent to a magnetoresistance effect in excess of
3,000 %. Since the typical phase transition critical temperature for spin
crossover compounds can be extended to well above room temperature, spin
crossover molecules appear as the ideal candidate for implementing spin devices
at the molecular level
Electric field control of valence tautomeric interconversion in Cobalt dioxolene
We demonstrate that the critical temperature for valence tautomeric
interconversion in Cobalt dioxolene complexes can be significantly changed when
a static electric field is applied to the molecule. This is achieved by
effectively manipulating the redox potential of the metallic acceptor forming
the molecule. Importantly our accurate density functional theory calculations
demonstrate that already a field of 0.1 V/nm, achievable in Stark spectroscopy
experiments, can produce a change in the critical temperature for the
interconversion of 20 K. Our results indicate a new way for switching on and
off the magnetism in a magnetic molecule. This offers the unique chance of
controlling magnetism at the atomic scale by electrical means
The ground state of a spin-crossover molecule calculated by diffusion Monte Carlo
Spin crossover molecules have recently emerged as a family of compounds
potentially useful for implementing molecular spintronics devices. The
calculations of the electronic properties of such molecules is a formidable
theoretical challenge as one has to describe the spin ground state of a
transition metal as the legand field changes. The problem is dominated by the
interplay between strong electron correlation at the transition metal site and
charge delocalization over the ligands, and thus it fits into a class of
problems where density functional theory may be inadequate. Furthermore, the
crossover activity is extremely sensitive to environmental conditions, which
are difficult to fully characterize. Here we discuss the phase transition of a
prototypical spin crossover molecule as obtained with diffusion Monte Carlo
simulations. We demonstrate that the ground state changes depending on whether
the molecule is in the gas or in the solid phase. As our calculation provides a
solid benchmark for the theory we then assess the performances of density
functional theory. We find that the low spin state is always over-stabilized,
not only by the (semi-)local functionals, but even by the most commonly used
hybrids (such as B3LYP and PBE0). We then propose that reliable results can be
obtained by using hybrid functionals containing about 50% of exact-exchange
Reliable estimation of prediction uncertainty for physico-chemical property models
The predictions of parameteric property models and their uncertainties are
sensitive to systematic errors such as inconsistent reference data, parametric
model assumptions, or inadequate computational methods. Here, we discuss the
calibration of property models in the light of bootstrapping, a sampling method
akin to Bayesian inference that can be employed for identifying systematic
errors and for reliable estimation of the prediction uncertainty. We apply
bootstrapping to assess a linear property model linking the 57Fe Moessbauer
isomer shift to the contact electron density at the iron nucleus for a diverse
set of 44 molecular iron compounds. The contact electron density is calculated
with twelve density functionals across Jacob's ladder (PWLDA, BP86, BLYP, PW91,
PBE, M06-L, TPSS, B3LYP, B3PW91, PBE0, M06, TPSSh). We provide systematic-error
diagnostics and reliable, locally resolved uncertainties for isomer-shift
predictions. Pure and hybrid density functionals yield average prediction
uncertainties of 0.06-0.08 mm/s and 0.04-0.05 mm/s, respectively, the latter
being close to the average experimental uncertainty of 0.02 mm/s. Furthermore,
we show that both model parameters and prediction uncertainty depend
significantly on the composition and number of reference data points.
Accordingly, we suggest that rankings of density functionals based on
performance measures (e.g., the coefficient of correlation, r2, or the
root-mean-square error, RMSE) should not be inferred from a single data set.
This study presents the first statistically rigorous calibration analysis for
theoretical Moessbauer spectroscopy, which is of general applicability for
physico-chemical property models and not restricted to isomer-shift
predictions. We provide the statistically meaningful reference data set MIS39
and a new calibration of the isomer shift based on the PBE0 functional.Comment: 49 pages, 9 figures, 7 table
Interplay between lattice, orbital, and magnetic degrees of freedom in the chain-polymer Cu(II) breathing crystals
The chain-polymer Cu(II) breathing crystals C21H19CuF12N4O6 were studied
using the x-ray diffraction and ab initio band structure calculations. We show
that the crystal structure modification at T=146 K, associated with the spin
crossover transition, induces the changes of the orbital order in half of the
Cu sites. This in turn results in the switch of the magnetic interaction sign
in accordance with the Goodenough-Kanamori-Andersen theory of the coupling
between the orbital and spin degrees of freedom.Comment: 6 pages, 7 figure
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