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For instance, see Figs. 1, 3, and 6(a) of Ref., and references therein.
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In this work we exclusively work within 2D although a three-dimensional (3D) system is closer to the real material. It is true that there is no finite temperature phase transition in 2D systems in the thermodynamic limit. However, for the finite systems we studied in this work, when lowering the temperature, the correlation length increases and can be much larger than the system size. Then one does see phenomena similar to a phase transition in the finite system. Previous studies have already shown that both 2D and 3D finite systems give similar behavior in the CMR regime. See Refs. and references therein. Based on these arguments, we find that working in 2D reduces a lot of computational effort without changing the physical picture in the CMR regime.
-
In this work we exclusively work within 2D although a three-dimensional (3D) system is closer to the real material. It is true that there is no finite temperature phase transition in 2D systems in the thermodynamic limit. However, for the finite systems we studied in this work, when lowering the temperature, the correlation length increases and can be much larger than the system size. Then one does see phenomena similar to a phase transition in the finite system. Previous studies have already shown that both 2D and 3D finite systems give similar behavior in the CMR regime. See Refs. and references therein. Based on these arguments, we find that working in 2D reduces a lot of computational effort without changing the physical picture in the CMR regime.
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Further increasing the value of JAF, a charge disordered G-type antiferromagnetic (AFM) state definitely appears as the ground state. However, the AF/CO state [illustrated in Fig. 1] appears as the groundstate at intermediate JAF values, as shown in Fig. 1 of Ref.. The G-type AFM state is then not the state competing with the FM state to give the CMR effect. It is irrelevant to the CMR effect discussed throughout this paper. Therefore, we will not discuss this G-type AFM state and focus only on the competiting FM and AF/CO states in this paper.
-
Further increasing the value of JAF, a charge disordered G-type antiferromagnetic (AFM) state definitely appears as the ground state. However, the AF/CO state [illustrated in Fig. 1] appears as the groundstate at intermediate JAF values, as shown in Fig. 1 of Ref.. The G-type AFM state is then not the state competing with the FM state to give the CMR effect. It is irrelevant to the CMR effect discussed throughout this paper. Therefore, we will not discuss this G-type AFM state and focus only on the competiting FM and AF/CO states in this paper.
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According to Ref., the transition should turn into first order when the strength of quenched disorder exceeds a certain critical value. In future work, it will be interesting to study the MI transition in the model with quenched disorder and numerically check the validity of this analytical claim.
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According to Ref., the transition should turn into first order when the strength of quenched disorder exceeds a certain critical value. In future work, it will be interesting to study the MI transition in the model with quenched disorder and numerically check the validity of this analytical claim.
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In practice, hole sites are defined as sites with the lowest (1-n) L2 local densities of states at each MC step, where n is the number of electrons in a L×L system.
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In practice, hole sites are defined as sites with the lowest (1-n) L2 local densities of states at each MC step, where n is the number of electrons in a L×L system.
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If the MC evolution were carried out using nonlocal updates (using, e.g., cluster updates), then the analogy between the real system and the MC evolution is lost.
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If the MC evolution were carried out using nonlocal updates (using, e.g., cluster updates), then the analogy between the real system and the MC evolution is lost.
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The presence of glassy states in manganites has been discussed in a variety of contexts already. See, for instance, PRBMDO 0163-1829 10.1103/PhysRevB.63.144419
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The simulation is performed at T/t=0.01 with JAF =0.0325 and λ=1.2, where a metallic FM state is finally stabilized. However, in this simulation the initial configuration is prepared by taking the final configuration of another long MC simulation in the AF/CO state (with JAF =0.05, λ=1.2, and T/t=0.01).
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The simulation is performed at T/t=0.01 with JAF =0.0325 and λ=1.2, where a metallic FM state is finally stabilized. However, in this simulation the initial configuration is prepared by taking the final configuration of another long MC simulation in the AF/CO state (with JAF =0.05, λ=1.2, and T/t=0.01).
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We have to emphasize that usually there is no one-to-one correspondence between the MC-time evolution and the time evolution in real systems. (See the discussion in the beginning of Sec. 3 and the references therein.) However, we do expect some analogy between these two-time evolutions. Actually, both the quantities measured during MC and those measured experimentally are time averages along a trajectory in phase space. In MC, the trajectory is defined only in configuration space and the jumping between two adjacent configurations is via a purely random process. On the other hand, in real systems, the trajectory is defined in configuration-momentum space and the evolution is realized by exchanging momenta among particles. The time evolution in real systems, thus, follows a motion of equation
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We have to emphasize that usually there is no one-to-one correspondence between the MC-time evolution and the time evolution in real systems. (See the discussion in the beginning of Sec. 3 and the references therein.) However, we do expect some analogy between these two-time evolutions. Actually, both the quantities measured during MC and those measured experimentally are time averages along a trajectory in phase space. In MC, the trajectory is defined only in configuration space and the jumping between two adjacent configurations is via a purely random process. On the other hand, in real systems, the trajectory is defined in configuration-momentum space and the evolution is realized by exchanging momenta among particles. The time evolution in real systems, thus, follows a motion of equation. Interestingly, in statistical systems where thermal fluctuations cannot be neglected, the equation of motion is usually a stochastic one. See, for example, K. Binder, in Monte Carlo Methods in Statistical Physics, Topics in Current Physics Vol. 7, 2nd ed., edited by, K. Binder, (Springer, Berlin, 1986). This shows that even in the real statistical systems, the time evolution is connected with some random process. Hence, the MC can be looked as a simplified model for the real system: it just integrates out the momentum degrees of freedom but keeps the stochastic nature of the time evolution. Regarding this, it is reasonable to compare the MC-time evolution with the one in the real systems. We note that the above idea has been generally accepted in the MC studies of spin glasses both in and far from thermal equilibrium.
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