340 research outputs found
The New Resonating Valence Bond Method for Ab-Initio Electronic Simulations
The Resonating Valence Bond theory of the chemical bond was introduced soon
after the discovery of quantum mechanics and has contributed to explain the
role of electron correlation within a particularly simple and intuitive
approach where the chemical bond between two nearby atoms is described by one
or more singlet electron pairs. In this chapter Pauling's resonating valence
bond theory of the chemical bond is revisited within a new formulation,
introduced by P.W. Anderson after the discovery of High-Tc superconductivity.
It is shown that this intuitive picture of electron correlation becomes now
practical and efficient, since it allows us to faithfully exploit the locality
of the electron correlation, and to describe several new phases of matter, such
as Mott insulators, High-Tc superconductors, and spin liquid phases
Properties of Reactive Oxygen Species by Quantum Monte Carlo
The electronic properties of the oxygen molecule, in its singlet and triplet
states, and of many small oxygen-containing radicals and anions have important
roles in different fields of Chemistry, Biology and Atmospheric Science.
Nevertheless, the electronic structure of such species is a challenge for
ab-initio computational approaches because of the difficulties to correctly
describe the statical and dynamical correlation effects in presence of one or
more unpaired electrons. Only the highest-level quantum chemical approaches can
yield reliable characterizations of their molecular properties, such as binding
energies, equilibrium structures, molecular vibrations, charge distribution and
polarizabilities. In this work we use the variational Monte Carlo (VMC) and the
lattice regularized Monte Carlo (LRDMC) methods to investigate the equilibrium
geometries and molecular properties of oxygen and oxygen reactive species.
Quantum Monte Carlo methods are used in combination with the Jastrow
Antisymmetrized Geminal Power (JAGP) wave function ansatz, which has been
recently shown to effectively describe the statical and dynamical correlation
of different molecular systems. In particular we have studied the oxygen
molecule, the superoxide anion, the nitric oxide radical and anion, the
hydroxyl and hydroperoxyl radicals and their corresponding anions, and the
hydrotrioxyl radical. Overall, the methodology was able to correctly describe
the geometrical and electronic properties of these systems, through compact but
fully-optimised basis sets and with a computational cost which scales as
, where is the number of electrons. This work is therefore opening
the way to the accurate study of the energetics and of the reactivity of large
and complex oxygen species by first principles
Evidence for Stable Square Ice from Quantum Monte Carlo
Recent experiments on ice formed by water under nanoconfinement provide
evidence for a two-dimensional (2D) `square ice' phase. However, the
interpretation of the experiments has been questioned and the stability of
square ice has become a matter of debate. Partially this is because the
simulation approaches employed so far (force fields and density functional
theory) struggle to accurately describe the very small energy differences
between the relevant phases. Here we report a study of 2D ice using an accurate
wave-function based electronic structure approach, namely Diffusion Monte Carlo
(DMC). We find that at relatively high pressure square ice is indeed the lowest
enthalpy phase examined, supporting the initial experimental claim. Moreover,
at lower pressures a `pentagonal ice' phase (not yet observed experimentally)
has the lowest enthalpy, and at ambient pressure the `pentagonal ice' phase is
degenerate with a `hexagonal ice' phase. Our DMC results also allow us to
evaluate the accuracy of various density functional theory exchange correlation
functionals and force field models, and in doing so we extend the understanding
of how such methodologies perform to challenging 2D structures presenting
dangling hydrogen bonds
Communication: Truncated non-bonded potentials can yield unphysical behavior in molecular dynamics simulations of interfaces
Non-bonded potentials are included in most force fields and therefore widely
used in classical molecular dynamics simulations of materials and interfacial
phenomena. It is commonplace to truncate these potentials for computational
efficiency based on the assumption that errors are negligible for reasonable
cutoffs or compensated for by adjusting other interaction parameters. Arising
from a metadynamics study of the wetting transition of water on a solid
substrate, we find that the influence of the cutoff is unexpectedly strong and
can change the character of the wetting transition from continuous to first
order by creating artificial metastable wetting states. Common cutoff
corrections such as the use of a force switching function, a shifted potential,
or a shifted force do not avoid this. Such a qualitative difference urges
caution and suggests that using truncated non-bonded potentials can induce
unphysical behavior that cannot be fully accounted for by adjusting other
interaction parameters
On the physisorption of water on graphene: Sub-chemical accuracy from many-body electronic structure methods
Molecular adsorption on surfaces plays a central role in catalysis,
corrosion, desalination, and many other processes of relevance to industry and
the natural world. Few adsorption systems are more ubiquitous or of more
widespread importance than those involving water and carbon, and for a
molecular level understanding of such interfaces water monomer adsorption on
graphene is a fundamental and representative system. This system is
particularly interesting as it calls for an accurate treatment of electron
correlation effects, as well as posing a practical challenge to experiments.
Here, we employ many-body electronic structure methodologies that can be
rigorously converged and thus provide faithful references for the
molecule-surface interaction. In particular, we use diffusion Monte-Carlo
(DMC), coupled cluster (CCSD(T)), as well as the random phase approximation
(RPA) to calculate the strength of the interaction between water and an
extended graphene surface. We establish excellent, sub-chemical, agreement
between the complementary high-level methodologies, and an adsorption energy
estimate in the most stable configuration of approximately -100\,meV is
obtained. We also find that the adsorption energy is rather insensitive to the
orientation of the water molecule on the surface, despite different binding
motifs involving qualitatively different interfacial charge reorganisation. In
producing the first demonstrably accurate adsorption energies for water on
graphene this work also resolves discrepancies amongst previously reported
values for this widely studied system. It also paves the way for more accurate
and reliable studies of liquid water at carbon interfaces with cheaper
computational methods, such as density functional theory and classical
potentials
Crystal Nucleation in Liquids: Open Questions and Future Challenges in Molecular Dynamics Simulations
The nucleation of crystals in liquids is one of nature's most ubiquitous
phenomena, playing an important role in areas such as climate change and the
production of drugs. As the early stages of nucleation involve exceedingly
small time and length scales, atomistic computer simulations can provide unique
insight into the microscopic aspects of crystallization. In this review, we
take stock of the numerous molecular dynamics simulations that in the last few
decades have unraveled crucial aspects of crystal nucleation in liquids. We put
into context the theoretical framework of classical nucleation theory and the
state of the art computational methods, by reviewing simulations of e.g. ice
nucleation or crystallization of molecules in solutions. We shall see that
molecular dynamics simulations have provided key insight into diverse
nucleation scenarios, ranging from colloidal particles to natural gas hydrates,
and that in doing so the general applicability of classical nucleation theory
has been repeatedly called into question. We have attempted to identify the
most pressing open questions in the field. We believe that by improving (i.)
existing interatomic potentials; and (ii.) currently available enhanced
sampling methods, the community can move towards accurate investigations of
realistic systems of practical interest, thus bringing simulations a step
closer to experiments
Properties of the water to boron nitride interaction: from zero to two dimensions with benchmark accuracy
Molecular adsorption on surfaces plays an important part in catalysis,
corrosion, desalination, and various other processes that are relevant to
industry and in nature. As a complement to experiments, accurate adsorption
energies can be obtained using various sophisticated electronic structure
methods that can now be applied to periodic systems. The adsorption energy of
water on boron nitride substrates, going from zero to 2-dimensional
periodicity, is particularly interesting as it calls for an accurate treatment
of polarizable electrostatics and dispersion interactions, as well as posing a
practical challenge to experiments and electronic structure methods. Here, we
present reference adsorption energies, static polarizabilities, and dynamic
polarizabilities, for water on BN substrates of varying size and dimension.
Adsorption energies are computed with coupled cluster theory, fixed-node
quantum Monte Carlo (FNQMC), the random phase approximation (RPA), and second
order M{\o}ller-Plesset (MP2) theory. These explicitly correlated methods are
found to agree in molecular as well as periodic systems. The best estimate of
the water/h-BN adsorption energy is meV from FNQMC. In addition, the
water adsorption energy on the BN substrates could be expected to grow
monotonically with the size of the substrate due to increased dispersion
interactions but interestingly, this is not the case here. This peculiar
finding is explained using the static polarizabilities and molecular dispersion
coefficients of the systems, as computed from time-dependent density functional
theory (DFT). Dynamic as well as static polarizabilities are found to be highly
anisotropic in these systems. In addition, the many-body dispersion method in
DFT emerges as a particularly useful estimation of finite size effects for
other expensive, many-body wavefunction based methods
Protein Internal Dynamics: Coarse-grained Investigation of the Structure-Function Relationship
Ice Formation on Kaolinite: Insights from Molecular Dynamics Simulations
The formation of ice affects many aspects of our everyday life as well as
technologies such as cryotherapy and cryopreservation. Foreign substances
almost always aid water freezing through heterogeneous ice nucleation, but the
molecular details of this process remain largely unknown. In fact, insight into
the microscopic mechanism of ice formation on different substrates is difficult
to obtain even via state-of-the-art experimental techniques. At the same time,
atomistic simulations of heterogeneous ice nucleation frequently face
extraordinary challenges due to the complexity of the water-substrate
interaction and the long timescales that characterize nucleation events. Here,
we have investigated several aspects of molecular dynamics simulations of
heterogeneous ice nucleation considering as a prototypical ice nucleating
material the clay mineral kaolinite, which is of relevance in atmospheric
science. We show via seeded molecular dynamics simulations that ice nucleation
on the hydroxylated (001) face of kaolinite proceeds exclusively via the
formation of the hexagonal ice polytype. The critical nucleus size is two times
smaller than that obtained for homogeneous nucleation at the same supercooling.
Previous findings suggested that the flexibility of the kaolinite surface can
alter the time scale for ice nucleation within molecular dynamics simulations.
However, we here demonstrate that equally flexible (or non flexible) kaolinite
surfaces can lead to very different outcomes in terms of ice formation,
according to whether or not the surface relaxation of the clay is taken into
account. We show that very small structural changes upon relaxation
dramatically alter the ability of kaolinite to provide a template for the
formation of a hexagonal overlayer of water molecules at the water-kaolinite
interface, and that this relaxation therefore determines the nucleation ability
of this mineral
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