737 research outputs found
Kosterlitz-Thouless Phase Transition of the ANNNI model in Two Dimensions
The spin structure of an axial next-nearest-neighbor Ising (ANNNI) model in
two dimensions (2D) is a renewed problem because different Monte Carlo (MC)
simulation methods predicted different spin orderings. The usual equilibrium
simulation predicts the occurrence of a floating incommensurate (IC)
Kosterlitz-Thouless (KT) type phase, which never emerges in non-equilibrium
relaxation (NER) simulations. In this paper, we first examine previously
published results of both methods, and then investigate a higher transition
temperature, , between the IC and paramagnetic phases. In the usual
equilibrium simulation, we calculate the layer magnetization on larger lattices
(up to sites) and estimate with
frustration ratio . We examine the nature of
the phase transition in terms of the Binder ratio of spin overlap
functions and the correlation-length ratio . In the NER simulation, we
observe the spin dynamics in equilibrium states by means of an autocorrelation
function, and also observe the layer magnetization relaxations from the ground
and disordered states. These quantities exhibit an algebraic decay at . We conclude that the two-dimensional ANNNI model actually
admits an IC phase transition of the KT type.Comment: 20 pages, 16 figure
Cluster Heat Bath Algorithm in Monte Carlo Simulations of Ising Models
We have proposed a cluster heat bath method in Monte Carlo simulations of
Ising models in which one of the possible spin configurations of a cluster is
selected in accordance with its Boltzmann weight. We have argued that the
method improves slow relaxation in complex systems and demonstrated it in an
axial next-nearest-neighbor Ising(ANNNI) model in two-dimensions.Comment: 10 pages, REVTeX, 2 figures, to appear in Phys.Rev.Let
Three Dimensional Heisenberg Spin Glass Models with and without Random Anisotropy
We reexamine the spin glass (SG) phase transition of the Heisenberg
models with and without the random anisotropy in three dimensions ()
using complementary two methods, i.e., (i) the defect energy method and (ii)
the Monte Carlo method. We reveal that the conventional defect energy method is
not convincing and propose a new method which considers the stiffness of the
lattice itself. Using the method, we show that the stiffness exponent
has a positive value () even when . Considering the
stiffness at finite temperatures, we obtain the SG phase transition temperature
of for . On the other hand, a large scale MC
simulation shows that, in contrary to the previous results, a scaling plot of
the SG susceptibility for is obtained using almost the
same transiton temperature of . Hence we believe that
the SG phase transition occurs in the Heisenberg SG model in .Comment: 15 pages, 9 figures, to be published in J. Phys.
Development of Drug-loaded Nanoparticles for Targeted Chemotherapy.
Cancer is the second highest cause of death in the US, and chemotherapy is one of the common cancer therapies. In order to reduce side effects and avoid cancer’s resistance to antitumor drugs, we use nanoparticle (NP)-assisted chemotherapy. This strategy can selectively deliver high concentrations of antitumor drugs to the tumor area, because NPs can encapsulate antitumor drugs, target the tumor area by active and passive targeting mechanisms, and release the drugs inside the cancer cells. This work focuses on three aspects of such NPs: high loading with antitumor drugs, controlled release of antitumor drugs, and high cellular uptake by the NPs. As a model system, polyacrylamide-based NPs were loaded with cisplatin. The effects of functional groups in the NPs, and the effects of matrix densities, were evaluated in terms of the NPs’ drug-loading, their release profile, and their cellular uptake. The carboxyl-functionalized NPs achieved 2 times higher loading and faster release of cisplatin than the amine-functionalized NPs. In contrast, the amine-functionalized NPs had 3.5 times better cellular uptake than the carboxyl-functionalized NPs. Tuning the matrix density of those NPs could control the release of cisplatin. Also, cisplatin-loaded, temperature-responsive NPs were synthesized so as to incorporate a trigger for cisplatin release in the cancer cells. The elevated temperature successfully enhanced the release of cisplatin from the synthesized NPs, especially under acidic conditions simulating lysosomes, which were the destination of the NPs inside the cells. Also, the in vitro cytotoxicity of the NPs is accelerated at high temperature. Finally, polyethylenimine (PEI) was incorporated into cisplatin-loaded PAA-NPs. Incorporation of PEI enhanced the cellular uptake of the PAA NPs 7 times, and resulted in significantly higher cytotoxicity. Other properties of these NPs, such as enhanced loading, enhanced release, and endosomal escape may contribute to their higher cytotoxicity. These results confirmed the importance of the following three factors when designing NPs for NP-assisted chemotherapy: (1) high loading with antitumor drugs, (2) controlled release of antitumor drugs, and (3) high cellular uptake of the NPs.PhDBiophysicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/111622/1/tshira_1.pd
Parisi States in a Heisenberg Spin-Glass Model in Three Dimensions
We have studied low-lying metastable states of the Heisenberg model
in two () and three () dimensions having developed a hybrid genetic
algorithm. We have found a strong evidence of the occurrence of the Parisi
states in but not in . That is, in lattices, there exist
metastable states with a finite excitation energy of for
, and energy barriers between the ground state and
those metastable states are with in
but with in . We have also found droplet-like
excitations, suggesting a mixed scenario of the replica-symmetry-breaking
picture and the droplet picture recently speculated in the Ising SG model.Comment: 4 pages, 6 figure
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