92 research outputs found
Universal self-assembly of one-component three-dimensional dodecagonal quasicrystals
Using molecular dynamics simulations, we study computational self-assembly of
one-component three-dimensional dodecagonal (12-fold) quasicrystals in systems
with two-length-scale potentials. Existing criteria for three-dimensional
quasicrystal formation are quite complicated and rather inconvenient for
particle simulations. So to localize numerically the quasicrystal phase, one
should usually simulate over a wide range of system parameters. We show how to
universally localize the parameters values at which dodecagonal quasicrystal
order may appear for a given particle system. For that purpose, we use a
criterion recently proposed for predicting decagonal quasicrystal formation in
one-component two-length-scale systems. The criterion is based on two
dimensionless effective parameters describing the fluid structure which are
extracted from radial distribution function. The proposed method allows
reducing the time spent for searching the parameters favoring certain solid
structure for a given system. We show that the method works well for
dodecagonal quasicrystals; this results is verified on four systems with
different potentials: Dzugutov potential, oscillating potential which mimics
metal interactions, repulsive shoulder potential describing effective
interaction for core/shell model of colloids and embedded-atom model potential
for aluminum. Our results suggest that mechanism of dodecagonal quasicrystal
formation is universal for both metallic and soft-matter systems and it is
based on competition between interparticle scales.Comment: 8 pages, 6 figure
Anomalous electrical conductivity in rapidly crystallized CuZr (x = 50 - 66.6) alloys
CuZr (x = 50, 54, 60 and 66.6) polycrystalline alloys were
prepared by arc-melting. The crystal structure of the ingots has been examined
by X-ray diffraction. Non-equilibrium martensitic phases with monoclinic
structure were detected in all the alloys except CuZr.
Temperature dependencies of electrical resistivity in the temperature range of
T = 4 - 300 K have been measured as well as room temperature values of Hall
coefficients and thermal conductivity. Electrical resistivity demonstrates
anomalous behavior. At the temperatures lower than 20 K, their temperature
dependencies are non-monotonous with pronounced minima. At elevated
temperatures they have sufficiently non-linear character which cannot be
described within framework of the standard Bloch--Gr\"{u}neisen model. We
propose generalized Bloch--Gr\"{u}neisen model with variable Debye temperature
which describes experimental resistivity dependencies with high accuracy. We
found that both the electrical resistivity and the Hall coefficients reveal
metallic-type conductivity in the Cu-Zr alloys. The estimated values of both
the charge carrier mobility and the phonon contribution to thermal and electric
conductivity indicate the strong lattice defects and structure disorder.Comment: 6 pages, 3 figure
Can we accurately calculate viscosity in multicomponent metallic melts?
Calculating viscosity in multicompoinent metallic melts is a challenging task
for both classical and \textit{ab~initio} molecular dynamics simulations
methods. The former may not to provide enough accuracy and the latter is too
resources demanding. Machine learning potentials provide optimal balance
between accuracy and computational efficiency and so seem very promising to
solve this problem. Here we address simulating kinematic viscosity in ternary
Al-Cu-Ni melts with using deep neural network potentials (DP) as implemented in
the DeePMD-kit. We calculate both concentration and temperature dependencies of
kinematic viscosity in Al-Cu-Ni and conclude that the developed potential
allows one to simulate viscosity with high accuracy; the deviation from
experimental data does not exceed 9\% and is close to the uncertainty interval
of experimental data. More importantly, our simulations reproduce minimum on
concentration dependency of the viscosity at the eutectic point. Thus, we
conclude that DP-based MD simulations is highly promising way to calculate
viscosity in multicomponent metallic melts.Comment: 11 pages, 7 figure
Effective Pair Interactions and Structure in Liquid Noble Metals within Wills-Harrison and Bretonnet-Silbert Models
Recently, for calculating the effective pair interactions in liquid transition metals, we have developed an approach which includes the Wills-Harrison and Bretonnet-Silbert models as limit cases. Here, we apply this approach to noble liquid metals. The dependencies of pair potentials and corresponding MD-simulated pair correlation functions in pure liquid Cu, Ag and Au on the portion of the non-diagonal (with respect to the magnet quantum number) d-d-electron couplings in the metal under consideration are studied. The model provides a good agreement with experimental and ab initio data for pair correlation functions, structure factors and velocity autocorrelation functions. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.Funding: This work is supported by the Russian Federation Ministry of Science and Higher Education through the state research target for the Institute of Metallurgy of the Ural Branch of Russian Academy of Sciences (Project No. 0396-2019-0002)
Structure and glass-forming ability of simulated Ni-Zr alloys
Binary Cu-Zr system is a representative bulk glassformer demonstrating high
glass forming ability due to pronounced icosahedral local ordering. From the
first glance, Ni-Zr system is the most natural object to expect the same
behavior because nickel and copper are neighbours in the periodic table and
have similar physicochemical properties. However, doing molecular dynamics
simulations of alloys described by embedded atom
model potential, we observe different behaviour. We conclude that the Ni-Zr
system has the same glass-forming ability as an additive binary Lennard-Jones
mixture without any chemical interaction. The structural analysis reveals that
icosahedral ordering in Ni-Zr alloys is much less pronounced than that in the
Cu-Zr ones. We suggest that lack of icosahedral ordering due to peculiarities
of interatomic interactions is the reason of relatively poor glass-forming
ability of Ni-Zr system
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