Overview of active research fields
Modeling and molecular dynamics simulations of atomistic processes
Advances in the theoretical
understanding of interatomic interactions in material science and computer-based
modeling of complex systems have led to molecular dynamics simulations for
exploring atomic-scale behaviors. Numerical simulations have revealed
themselves to be extremely useful in investigating processes at the microscopic
scale and, in the years to come, are expected to play an expanding role in
science. Their distinctiveness consists of allowing scientists to follow and
analyze the dynamics of all atoms in controlled computational “experiments”
where the system geometry, driving conditions, interparticle interactions, and
so on, can be varied at will to explore their effect on the physical system
response. In the context of nanotribology, for example, this approach has
revealed, no doubt, a great deal of information about the atomistic origins of
static and kinetic friction, hysteresis, stick–slip dynamics, boundary
lubrication, and the interplay between molecular geometry and tribological properties.
Nanomanipulation, dynamics and diffusion of
nano-objects on surfaces
The high complexity of dealing
with systems with many degrees of freedom under a strict size confinement
arises especially in sliding friction phenomena, where the key mechanisms take
place at a buried interface. In the last decades, growth of new materials with
tailored features down to the nanoscale and
developments in nanotechnology have extended the experimental study of
friction, permitting the analysis on well-characterized surfaces at the smaller
scales. Controlled manipulation of individual molecules and clusters can be
used to build new molecular suprastructures, to
explore the influence of the environment on a molecule, or to perform
“engineering” operations at the ultimate limits of fabrication for new
high-tech devices. By presenting case studies of deposited metallic clusters, physisorbed rare-gas islands and molecular motors, we
investigate through modeling and MD simulations the frictional properties of nano-objects functioning at surfaces.
Theory and simulations of generalized Frenkel-Kontorova
type models
Universal
models which can be applied to describe a variety of
different phenomena are very rare in physics and, therefore, they are of
key importance. Over the years a relatively simple model, known these days as the Frenkel-Kontorova
(FK) model, has become one of the fundamental and universal tools of
low-dimensional nonlinear physics. In its simplest version, it describes a 1D
chain of interacting particles subjected to a substrate on-site potential. This
model, together with its several extensions, has been successfully applied to
describe a broad spectrum of effects of distinct physical nature: the theory of
dislocations in metals, domain walls in ferroelectrics, the problem of crowdion in a metal, superionic
conductors, sub-monolayer films of atoms on crystal surfaces, the surface
reconstruction phenomena, the DNA dynamics and denaturation, the theory of
Josephson junctions, and, last but not least, tribology.
Trapped Optical Systems
From colloidal mesoscale
suspensions down to the nanoworld of cold ions, the
use of artificial tribology emulators has recently taken us to the ultimate
limit of atomic friction. The field of nanotribology can now benefit from the
experimental opportunities offered by handling nanoparticles with artificial
optical potentials, opening the possibility to change parameters almost freely
and to visualize directly the elemental mechanisms of sliding friction.
Supporting, or even anticipating, the experimental findings, theory and
numerical simulations expose how properties such as substrate geometry and
corrugation, temperature, driving velocity and lattice mismatch may influence
the tribological response, from pinned configurations
and intermittent stick-slip dynamics to frictionless regimes of motion.
Nanomechanics and tribology of graphitic
materials
The recent advances in the preparation techniques of graphene and its semiconductor or insulator counterparts (e.g.
h-Si, h-BN, respectively) have made possible to control with very high accuracy
the growth of sheets, nanotubes, and other variants, thus allowing large
surfaces with few or no defects. This achievement is fundamental to permit an
ideal comparison of experimental data with theoretical simulations, and to have
a clear understanding (modeling) of the physics that governs these
nanostructures at a fundamental level. Another advantage of low defects
concentration is the reduced frictional force between sliding incommensurate sheets. This condition can be exploited in
applications like nanobearings and nanomotors, that
will drive the future robotics. Simulations can assist the engineering of these
nano-objects at the atomic level, and can drive the developement of prototypes by assisting the experiments.
Confined
systems under shear, lubricated friction and ionic liquids
Confined lubricants under shear
display intriguing nano- and mesoscale
tribological phenomena. The intervening lubricant film
between two sliding solid surfaces generally changes from liquid (with
hydrodynamic lubrication) to nearly solid when the film is only a few
monolayers thick. Both experiments and simulations find that in this regime,
the film develops a solidlike layered structure, supporting static friction, and a strong
stick-slip dissipative behavior. Here, the sliding frictional properties turn
out to be significantly affected by the interface incommensurability or the
presence of nanoscale superficial patterning of the
moving confining walls. In this framework, recent measurements suggest also the
possibility to exploit ionic liquids as smart lubricants for nanocontacts, tuning their tribological
and rheological properties by charging the sliding interfaces.
New approaches to control and
modify tribological properties and dissipative
mechanisms at the nanoscale
Exploring
novel routes to achieve friction control is a fundamental goal currently
pursued in nanoscience and nanotechnology. The
traditional lubrication control of frictional forces in macroscopic mechanical
contacts is impractical at the nanoscale, where
mating surfaces are likelier to succumb to capillary forces. Therefore, novel
methods for control and manipulation of friction in nano
and intermediate mesoscale sliding interfaces (e.g.,
tuned mechanically-induced oscillations, mismatched contact geometries, applied
external fields, substrate phase transitions) are constantly investigated via
modeling and simulations.
Energy
dissipation in molecular dynamics simulations of sliding friction
MD Simulations are making a
large and increasing contribution to such growing fields as rheology, and
tribology, which sit at the lively interface between basic condensed matter physics and technology, especially active in the nanoscience area. How to make the forced dynamics of a
small system (the simulation cell), equivalent to the real infinite one, is a
time-honored problem in non-equilibrium physics, one that has repeatedly been
addressed in the literature, but, somewhat surprisingly, with no real attempt
at realizing this program in real simulations. We implement a fully microscopic
dissipation scheme which, based on a parameter-free, non-markovian,
stochastic dynamics, absorbs Joule heat precisely as a semi-infinite solid
substrate would. The problem is not just one of principle, for in many cases
the resulting dynamical steady state (and its physical features) actually
depends upon the choice of the ad-hoc introduced dissipative parameters.
Advances in several research fields
have led to a progressive change of paradigm during the last decades, as the concept
of order without periodicity has emerged to properly describe an increasing
number of complex systems. Shortly after discovery of quasicrystals,
it was realized that their well-ordered, yet non-periodic structure is dictated
by a rule other than periodicity and closely related to the description of incommensurate structures (e.g., 1D Fibonacci sequence or 2D
Penrose tiling). Wearless atomic friction force
experiments have recently demonstrated that tribological
response in quasicrystals could be related to the
exotic atomic structure of the bulk material. By numerical simulations, we
address the origin of the experimentally observed friction anisotropy on a
twofold decagonal quasicrystal surface. We
investigate the distinct stick-slip patterns in the lateral force along the
periodic and quasiperiodic directions, specifically
exploring the temperature dependence that rules the transitions between single
and multiple slip regimes of motion.
Pattern formation and energy localization in complex multi-scale
systems
Pattern formation in physics, chemistry and biology are but some of the fields
in which these exciting “geometrical” entities can be observed, showing us how structures
arising in so many disparate areas can be similar and interrelated. Methods are
needed to characterize the differences and the similarities in patterns that
develop in different systems, as well as in patterns formed in one system for
different experimental conditions. Indeed, the ubiquity of the phenomenon of
pattern formation leads to the search for theoretical formulations that unify
the discussion of the diverse systems. From the viewpoint of fundamental
science, patterns are of interest because their formation takes advantage of
the spontaneous self-organized processes occurring in nature, a tendency often
related to strong nonlinear effects and energy localization. Generally, the
pattern-forming ability marks the point at which a nonequilibrium
system is driven across a particular threshold as a result of competing forces,
symmetry breaking, nucleation of dissipative structures, instabilities, scale
invariance, bifurcations, and higher-order phase transitions.