کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
977315 1480168 2014 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Crossover effects in dilute magnetic materials by finite-time dynamics method
ترجمه فارسی عنوان
اثرات متقاطع در مواد مغناطیسی رقیق با روش پویایی زمان محدود
کلمات کلیدی
نمایندگان انتقادی، روش پویایی زمان محدود، شبیه سازی مونت کارلو، اثرات متقاطع، نقطه ثابت تصادفی
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات فیزیک ریاضی
چکیده انگلیسی


• We derive the scaling function to probe critical behavior.
• We use finite-time dynamics method in three-dimensional bond-diluted Ising model.
• Results support a single universality class and smaller dynamic critical exponent.

Crossover phenomena are ubiquitous in disordered system. However, the crossover effects from the competition between different fixed points make it hard to identify the asymptotic scaling regime controlled by the random fixed point. Therefore, the analyses on the crossover effects are of great importance to understand phase transition in dilute magnetic materials. In this paper, we derive the scaling function characterizing the crossovers to probe critical behavior. According to these, we show an alternative method to locate the asymptotic critical region in the quenched random systems in the finite-time dynamics frame. For the three-dimensional bond-diluted Ising model, the asymptotic critical exponents are identified with ν=0.686(1),β=0.356(6),α=−0.057(3),γ=1.345(20),z=2.170(11)ν=0.686(1),β=0.356(6),α=−0.057(3),γ=1.345(20),z=2.170(11) at middle bond concentration p=0.7p=0.7 from the effective ones describing the approach to the asymptotic regime for weak dilution (p=0.9p=0.9) and strong dilution (p=0.5p=0.5). The dynamic critical exponent from our non-equilibrium simulation supports distinctly z≈2.18z≈2.18 as suggested previously, as opposed to the existing larger values.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 405, 1 July 2014, Pages 352–359
نویسندگان
, , , ,