6 research outputs found
Ab Initio Molecular Dynamics Study of the Mechanism of Proton Recombination with a Weak Base
Despite
its fundamental nature, many of the microscopic features of acidâbase
recombination remain poorly understood. In this work, we use ab initio
molecular dynamics simulations to study the recombination of the proton
with a weak base, the carbonate ion CO<sub>3</sub><sup>2â</sup>. Our simulations elucidate the
network structure around CO<sub>3</sub><sup>2â</sup> that provides a distribution of pathways
over which recombination can occur. We observe that the penultimate
neutralization step involves a correlated behavior of the transferred
protons that is mediated by the water wires decorating the carbonate.
These concerted proton transfers are coupled to collective compressions
of these water wires. We show further that these processes are dynamically
coupled to the reorganization of the water molecules hydrating the
CO<sub>3</sub><sup>2â</sup> ion. The insights from these simulations help to bridge the structural
and dynamical complexity of the microscopic mechanisms with those
of phenomenological models invoked by experiments in this field
<i>Ab Initio</i> Quality NMR Parameters in Solid-State Materials Using a High-Dimensional Neural-Network Representation
Nuclear magnetic resonance (NMR)
spectroscopy is one of the most
powerful experimental tools to probe the local atomic order of a wide
range of solid-state compounds. However, due to the complexity of
the related spectra, in particular for amorphous materials, their
interpretation in terms of structural information is often challenging.
These difficulties can be overcome by combining molecular dynamics
simulations to generate realistic structural models with an <i>ab initio</i> evaluation of the corresponding chemical shift
and quadrupolar coupling tensors. However, due to computational constraints,
this approach is limited to relatively small system sizes which, for
amorphous materials, prevents an adequate statistical sampling of
the distribution of the local environments that is required to quantitatively
describe the system. In this work, we present an approach to efficiently
and accurately predict the NMR parameters of very large systems. This
is achieved by using a high-dimensional neural-network representation
of NMR parameters that are calculated using an <i>ab initio</i> formalism. To illustrate the potential of this approach, we applied
this neural-network NMR (NN-NMR) method on the <sup>17</sup>O and <sup>29</sup>Si quadrupolar coupling and chemical shift parameters of
various crystalline silica polymorphs and silica glasses. This approach
is, in principal, general and has the potential to be applied to predict
the NMR properties of various materials
Public Enterprise and Economic Development: The Case of Ande in Paraguay (Hydroelectric Power, Inter-American Development Bank, Itaipu Dam)
243 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1985.The presence of large state-owned enterprises in non-socialist developing economies is not uncommon. This research focuses on one public enterprise, ANDE, which generates and distributes electricity in Paraguay. Created from a nationalized Italo-Argentine firm in 1948, it has moved from thermal to hydro generation and expanded the transmission system to serve small population centers around the country. With the Brazilian state-owned power company Eletrobras, ANDE is currently constructing the world's largest hydroelectric facility, Itaipu. Investment in this project alone will exceed 3 billion per turbine).ANDE's pricing policy is established in its charter; it prices to earn a rate of return sufficient to fund the local contribution required to secure international financing for expansion. The price of electric power in Paraguay is high compared to that of neighboring countries but has been declining in real terms as a result of the shift to hydro power and the concessional financing obtained.The data were collected during a one-and-a-half-year stay in Paraguay supported by a Fulbright research fellowship. In addition to the statistics collected from the firm's files, extensive use was made of interviews with past and present decision-makers.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD
Benchmarking Density Functional Based Tight-Binding for Silver and Gold Materials: From Small Clusters to Bulk
We
benchmark existing and improved self-consistent-charge density functional
based tight-binding (SCC-DFTB) parameters for silver and gold
clusters as well as for bulk materials. In the former case, our benchmarks
focus on both the structural and energetic properties of small-size
Ag<sub><i>N</i></sub> and Au<sub><i>N</i></sub> clusters (<i>N</i> from 2 to 13), medium-size clusters
with <i>N</i> = 20 and 55, and finally larger nanoparticles
with <i>N</i> = 147, 309, and 561. For bulk materials, structural,
energetics and elastic properties are discussed. We show that SCC-DFTB
is quite satisfactory in reproducing essential differences between
silver and gold aggregates, in particular their 2Dâ3D structural
transitions, and their dependency upon cluster charge. SCC-DFTB is
also in agreement with DFT and experiments in the medium-size regime
regarding the energetic ordering of the different low-energy isomers
and allows for an overall satisfactory treatment of bulk properties.
A consistent convergence between the cohesive energies of the largest
investigated nanoparticles and the bulkâs is obtained. On the
basis of our results for nanoparticles of increasing size, a two-parameter
analytical extrapolation of the cohesive energy is proposed. This
formula takes into account the reduction of the cohesive energy for
undercoordinated surface sites and converges properly to the bulk
cohesive energy. Values for the surface sites cohesive energies are
also proposed
Shape Modulation of Octanuclear Cu(I) or Ag(I) Dichalcogeno Template Clusters with Respect to the Nature of their Encapsulated Anions: A Combined Theoretical and Experimental Investigation
M<sub>8</sub>L<sub>6</sub> clusters (M = CuÂ(I), AgÂ(I); L = dichalcogeno
ligand) are known for their ability to encapsulate various kinds of
saturated atomic anions. Calculations on the models [M<sub>8</sub>(E<sub>2</sub>PH<sub>2</sub>)<sub>6</sub>]<sup>2+</sup> (M = CuÂ(I),
AgÂ(I); E = S, Se) and the ionic or neutral [M<sub>8</sub>(X)Â(E<sub>2</sub>PH<sub>2</sub>)<sub>6</sub>]<sup><i>q</i></sup> (X
= H, F, Cl, Br, O, S, Se, N, P, C) indicate that the cubic M<sub>8</sub>L<sub>6</sub> cage adapts its shape for maximizing the hostâguest
bonding interaction. The interplay between size, covalent and ionic
bonding favors either a cubic, tetracapped tetrahedral, or bicapped
octahedral structure of the metal framework. Whereas the large third-
and fourth-row main group anions maintain the cubic shape, a distortion
toward a tetracapped tetrahedral arrangement of the metals occurs
in the case of hydride, fluoride, and oxide. The distortion is strong
in the case of hydride, weak in the case of fluoride, and intermediate
in the case of oxide. Density functional theory (DFT) calculations
predict a bicapped octahedral architecture in the case of nitride
and carbide. These computational results are supported by X-ray structures,
including those of new fluorine- and oxygen-containing compounds.
It is suggested that other oxygen-containing as well as so far unknown
nitride-containing clusters should be feasible. For the first time,
the dynamical behavior of the encapsulated hydride has been investigated
by metadynamics simulations. Our results clearly demonstrate that
the interconversion mechanism between two identical tetracapped tetrahedral
configurations occurs through a succession of M-H bonds breaking and
forming which present very low activation energies and which involve
a rather large number of intermediate structures. This mechanism is
full in accordance with <sup>109</sup>Ag and <sup>1</sup>H state NMR
measurements
Evaluation of <sup>95</sup>Mo Nuclear Shielding and Chemical Shift of [Mo<sub>6</sub>X<sub>14</sub>]<sup>2â</sup> Clusters in the Liquid Phase
[Mo<sub>6</sub>X<sub>14</sub>]<sup>2â</sup> octahedral molybdenum clusters are the main building
blocks of a large range of materials. Although <sup>95</sup>Mo nuclear
magnetic resonance was proposed to be a powerful tool to characterize
their structural and dynamical properties in solution, these measurements
have never been complemented by theoretical studies which can limit
their interpretation for complex systems. In this Article, we use
quantum chemical calculations to evaluate the <sup>95</sup>Mo chemical
shift of three clusters: [Mo<sub>6</sub>Cl<sub>14</sub>]<sup>2â</sup>, [Mo<sub>6</sub>Br<sub>14</sub>]<sup>2â</sup>, and [Mo<sub>6</sub>I<sub>14</sub>]<sup>2â</sup>. In particular, we test
various computational parameters influencing the quality of the results:
size of the basis set, treatment of relativistic and solvent effects.
Furthermore, to provide quantum chemical calculations that are directly
comparable with experimental data, we evaluate for the first time
the <sup>95</sup>Mo nuclear magnetic shielding of the experimental
reference, namely, MoO<sub>4</sub><sup>2â</sup> in aqueous
solution. This is achieved by combining ab initio molecular dynamics
simulations with a periodic approach to evaluate the <sup>95</sup>Mo nuclear shieldings. The results demonstrate that, despite the
difficulty to obtain accurate <sup>95</sup>Mo chemical shifts, relative
values for a cluster series can be fairly well-reproduced by DFT calculations.
We also show that performing an explicit solvent treatment for the
reference compound improves by âŒ50 ppm the agreement between
theory and experiment. Finally, the standard deviation of âŒ70
ppm that we calculate for the <sup>95</sup>Mo nuclear shielding of
the reference provides an estimation of the accuracy we can achieve
for the calculation of the <sup>95</sup>Mo chemical shifts using a
static approach. These results demonstrate the growing ability of
quantum chemical calculations to complement and interpret complex
experimental measurements