411 research outputs found
Order-disorder transitions in a sheared many body system
Motivated by experiments on sheared suspensions that show a transition
between ordered and disordered phases, we here study the long-time behavior of
a sheared and overdamped 2-d system of particles interacting by repulsive
forces. As a function of interaction strength and shear rate we find
transitions between phases with vanishing and large single-particle diffusion.
In the phases with vanishing single-particle diffusion, the system evolves
towards regular lattices, usually on very slow time scales. Different lattices
can be approached, depending on interaction strength and forcing amplitude. The
disordered state appears in parameter regions where the regular lattices are
unstable. Correlation functions between the particles reveal the formation of
shear bands. In contrast to single particle densities, the spatially resolved
two-particle correlation functions vary with time and allow to determine the
phase within a period. As in the case of the suspensions, motion in the state
with low diffusivity is essentially reversible, whereas in the state with
strong diffusion it is not.Comment: 12 pages, 13 figures; Supplemental Movies:
https://youtu.be/oFcrWo9Vs6E, https://youtu.be/tcowb7o05JQ,
https://youtu.be/GkEUwycn7V4, https://youtu.be/k-XCo8CWFU
Rigidity, Secondary Structure, and the Universality of the Boson Peak in Proteins
AbstractComplementary neutron- and light-scattering results on nine proteins and amino acids reveal the role of rigidity and secondary structure in determining the time- and lengthscales of low-frequency collective vibrational dynamics in proteins. These dynamics manifest in a spectral feature, known as the boson peak (BP), which is common to all disordered materials. We demonstrate that BP position scales systematically with structural motifs, reflecting local rigidity: disordered proteins appear softer than α-helical proteins; which are softer than β-sheet proteins. Our analysis also reveals a universal spectral shape of the BP in proteins and amino acid mixtures; superimposable on the shape observed in typical glasses. Uniformity in the underlying physical mechanism, independent of the specific chemical composition, connects the BP vibrations to nanometer-scale heterogeneities, providing an experimental benchmark for coarse-grained simulations, structure/rigidity relationships, and engineering of proteins for novel applications
Optimized Tuning of an EKF for State and Parameter Estimation in a Semitrailer
The Extended Kalman Filter (EKF) is a well-known method for state and parameter estimation in vehicle dynamics. However, for tuning the EKF, knowledge about the process and measurement noise is needed, which is usually unknown. Tuning the noise parameters manually is very time consuming, especially for systems with many states. Automated optimization based on the filtering errors promises less application time and better estimation performance, but also requires computing resources. This work presents two approaches for estimating the noise parameters of an EKF: A particle swarm optimization (PSO) and a gradient-based optimization. The EKF is applied to a nonlinear vehicle model of a tractor-semitrailer for estimating the steering and articulation angle as well as lateral and vertical tire forces based on real measurement data with different trailer loadings. Both methods are compared to each other to achieve the best estimation performance
Stripe order in the underdoped region of the two-dimensional Hubbard model
Competing inhomogeneous orders are a central feature of correlated electron
materials including the high-temperature superconductors. The two- dimensional
Hubbard model serves as the canonical microscopic physical model for such
systems. Multiple orders have been proposed in the underdoped part of the phase
diagram, which corresponds to a regime of maximum numerical difficulty. By
combining the latest numerical methods in exhaustive simulations, we uncover
the ordering in the underdoped ground state. We find a stripe order that has a
highly compressible wavelength on an energy scale of a few Kelvin, with
wavelength fluctuations coupled to pairing order. The favored filled stripe
order is different from that seen in real materials. Our results demonstrate
the power of modern numerical methods to solve microscopic models even in
challenging settings
The main geological factors influencing on formation of indices of coal quality (on the example of the coal deposit "Neryungrinskoye")
Genetic and epigenetic factors influencing on formation of a coal bed (its characteristics expressing by means of morphology, petrographic composition, degree of reducing, metamorphism, oxidation, and dislocation, physical properties and indices of coal quality) are considered. The main task of this research consisted in establishing of the significant factors influencing of the coal bed quality indices to a greater extent. Solution of the set task from positions of a system approach at study of rock massifs consisting in revealing and studying of many interconnected elements and estimation of their influence by means of alternate normalization of the main bounds is shown. The study was carry out in conditions of the bed «Moshny» of the coal deposit «Neryngrinskoye» of the Southern-Yakutia basin. The experimental data were treated with use of the correlation-regression methods. Results of researches allow to use geological information and geophysical methods for operative planning of geologic prospecting process and mining works in more total way
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