426 research outputs found
Reconstruction for Renal Artery Aneurysm and its Effect on Hypertension
AbstractObjectives: many renal artery aneurysms (RAA) are diagnosed incidentally in the course of investigations for hypertension and their management is controversial. Aim: to review the results of renal artery reconstruction for RAA. Methods: between January 1978 and December 1998 111 RAR were performed in 81 kidneys in 71 patients. Results: fifty-nine patients were hypertensive, three had a creatinine >2.0 mg/dl and one was on dialysis. The principal underlying pathology was fibromuscular dysplasia (39) and atherosclerosis (17). The mean RAA diameter was 2.2 (range 1–15) cm overall and 3.5 (range 2–10) cm in four patients who presented with rupture. Fifty-one patients had renal artery stenosis. Autogenous material was used in 105 RAR. There was no 30-day mortality and the morbidity rate was 16%. The 5-year cumulative patency rate was 69%. Hypertension was cured in 25% and improved in 39%.Conclusions: RAR tested for RAA treats hypertension and reduces the risk of rupture and distal embolisation
Sequential decoupling of negative-energy states in Douglas-Kroll-Hess theory
Here, we review the historical development, current status, and prospects of
Douglas--Kroll--Hess theory as a quantum chemical relativistic electrons-only
theory.Comment: 15 page
Accurate ab initio spin densities
We present an approach for the calculation of spin density distributions for
molecules that require very large active spaces for a qualitatively correct
description of their electronic structure. Our approach is based on the
density-matrix renormalization group (DMRG) algorithm to calculate the spin
density matrix elements as basic quantity for the spatially resolved spin
density distribution. The spin density matrix elements are directly determined
from the second-quantized elementary operators optimized by the DMRG algorithm.
As an analytic convergence criterion for the spin density distribution, we
employ our recently developed sampling-reconstruction scheme [J. Chem. Phys.
2011, 134, 224101] to build an accurate complete-active-space
configuration-interaction (CASCI) wave function from the optimized matrix
product states. The spin density matrix elements can then also be determined as
an expectation value employing the reconstructed wave function expansion.
Furthermore, the explicit reconstruction of a CASCI-type wave function provides
insights into chemically interesting features of the molecule under study such
as the distribution of - and -electrons in terms of Slater
determinants, CI coefficients, and natural orbitals. The methodology is applied
to an iron nitrosyl complex which we have identified as a challenging system
for standard approaches [J. Chem. Theory Comput. 2011, 7, 2740].Comment: 37 pages, 13 figure
Semi- and Non-relativistic Limit of the Dirac Dynamics with External Fields
We show how to approximate Dirac dynamics for electronic initial states by
semi- and non-relativistic dynamics. To leading order, these are generated by
the semi- and non-relativistic Pauli hamiltonian where the kinetic energy is
related to and , respectively. Higher-order
corrections can in principle be computed to any order in the small parameter
v/c which is the ratio of typical speeds to the speed of light. Our results
imply the dynamics for electronic and positronic states decouple to any order
in v/c << 1.
To decide whether to get semi- or non-relativistic effective dynamics, one
needs to choose a scaling for the kinetic momentum operator. Then the effective
dynamics are derived using space-adiabatic perturbation theory by Panati et. al
with the novel input of a magnetic pseudodifferential calculus adapted to
either the semi- or non-relativistic scaling.Comment: 42 page
Complete-Graph Tensor Network States: A New Fermionic Wave Function Ansatz for Molecules
We present a new class of tensor network states that are specifically
designed to capture the electron correlation of a molecule of arbitrary
structure. In this ansatz, the electronic wave function is represented by a
Complete-Graph Tensor Network (CGTN) ansatz which implements an efficient
reduction of the number of variational parameters by breaking down the
complexity of the high-dimensional coefficient tensor of a
full-configuration-interaction (FCI) wave function. We demonstrate that CGTN
states approximate ground states of molecules accurately by comparison of the
CGTN and FCI expansion coefficients. The CGTN parametrization is not biased
towards any reference configuration in contrast to many standard quantum
chemical methods. This feature allows one to obtain accurate relative energies
between CGTN states which is central to molecular physics and chemistry. We
discuss the implications for quantum chemistry and focus on the spin-state
problem. Our CGTN approach is applied to the energy splitting of states of
different spin for methylene and the strongly correlated ozone molecule at a
transition state structure. The parameters of the tensor network ansatz are
variationally optimized by means of a parallel-tempering Monte Carlo algorithm
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
Multiparticle equations for interacting Dirac fermions in magnetically confined graphene quantum dots
We study the energy of quasi-particles in graphene within the Hartree-Fock approximation. The quasi-particles are confined via an inhomogeneous magnetic field and interact via the Coulomb potential. We show that the associated functional has a minimizer and determines the stability conditions for the N-particle problem in such a graphene quantum dot
Modeling molecular crystals formed by spin-active metal complexes by atom-atom potentials
We apply the atom-atom potentials to molecular crystals of iron (II)
complexes with bulky organic ligands. The crystals under study are formed by
low-spin or high-spin molecules of Fe(phen)(NCS) (phen =
1,10-phenanthroline), Fe(btz)(NCS) (btz = 5,5,6,6-tetrahydro-4\textit{H},4\textit{H}-2,2-bi-1,3-thiazine), and Fe(bpz)(bipy) (bpz =
dihydrobis(1-pyrazolil)borate, and bipy = 2,2-bipyridine). All
molecular geometries are taken from the X-ray experimental data and assumed to
be frozen. The unit cell dimensions and angles, positions of the centers of
masses of molecules, and the orientations of molecules corresponding to the
minimum energy at 1 atm and 1 GPa are calculated. The optimized crystal
structures are in a good agreement with the experimental data. Sources of the
residual discrepancies between the calculated and experimental structures are
discussed. The intermolecular contributions to the enthalpy of the spin
transitions are found to be comparable with its total experimental values. It
demonstrates that the method of atom-atom potentials is very useful for
modeling organometalic crystals undergoing the spin transitions
Entanglement Measures for Single- and Multi-Reference Correlation Effects
Electron correlation effects are essential for an accurate ab initio
description of molecules. A quantitative a priori knowledge of the single- or
multi-reference nature of electronic structures as well as of the dominant
contributions to the correlation energy can facilitate the decision regarding
the optimum quantum chemical method of choice. We propose concepts from quantum
information theory as orbital entanglement measures that allow us to evaluate
the single- and multi-reference character of any molecular structure in a given
orbital basis set. By studying these measures we can detect possible artifacts
of small active spaces.Comment: 14 pages, 4 figure
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