2001
DOI: 10.1103/physrevb.64.144513
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Scaling of thermal conductivity of helium confined in pores

Abstract: We have studied the thermal conductivity of confined superfluids on a bar-like geometry. We use the planar magnet lattice model on a lattice H × H × L with L ≫ H. We have applied open boundary conditions on the bar sides (the confined directions of length H) and periodic along the long direction. We have adopted a hybrid Monte Carlo algorithm to efficiently deal with the critical slowing down and in order to solve the dynamical equations of motion we use a discretization technique which introduces errors only … Show more

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Cited by 12 publications
(9 citation statements)
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“…In all the cases mentioned above, due to the translational invariance, there are no surface, i.e., spatially varying effects. Monte Carlo simulations have been performed to study the thermal conductivity of the planar magnet lattice model in a bar-like geometry (H × H × L with L ≫ H) with open boundary conditions [28], aiming for a comparison with experimental results for 4 He at the superfluid transition confined to an array of pores [29]. The same problem has been addressed within the field-theoretical approach, studying Model F dynamics [2,30] in a L × L × ∞ geometry with Dirichlet boundary conditions (DBC, i.e., vanishing surface fields) for the order parameter [31].…”
Section: Introductionmentioning
confidence: 99%
“…In all the cases mentioned above, due to the translational invariance, there are no surface, i.e., spatially varying effects. Monte Carlo simulations have been performed to study the thermal conductivity of the planar magnet lattice model in a bar-like geometry (H × H × L with L ≫ H) with open boundary conditions [28], aiming for a comparison with experimental results for 4 He at the superfluid transition confined to an array of pores [29]. The same problem has been addressed within the field-theoretical approach, studying Model F dynamics [2,30] in a L × L × ∞ geometry with Dirichlet boundary conditions (DBC, i.e., vanishing surface fields) for the order parameter [31].…”
Section: Introductionmentioning
confidence: 99%
“…Indeed, the finite size scaling theory predicts, that a system confined to a barlike geometry, L · L · H where H → ∞, an observable O(t, L) scales as [32,33,34] …”
mentioning
confidence: 99%
“…However, when superconductivity is restricted to homogeneous domains of finite spatial extent L ab,c , the system is inhomogeneous and the resulting rounded transition uncovers a finite size effect [32,33,34] because the correlation lengths ξ ab,c = ξ ± ab0,c0 |t| −ν cannot grow beyond L ab,c , the respective extent of the homogenous domains. Hence, as long as ξ ab,c < L ab,c the critical properties of the fictitious homogeneous system can be explored.…”
mentioning
confidence: 99%
“…This statement is supported by the fundamental studies of Ahlers (see, for example, [16]) and could be explained in terms of direct calculations of temperature variation due to the gravity effect. In order to proceed, we have to consider the limiting value of the cylinder length L over which the results of a study of the finite-size effect become independent of further increase of L. It was found [17,18] that there is no need to take the actual L ® ¥ limit, because it turns out that for L = 5D and larger (D is the diameter of a pore), the finite-size effect due to the finite value of L becomes insignificant.…”
Section: Helium-in-cylinrical-confinment Heat Capacity: Theoretical Pmentioning
confidence: 99%
“…The corresponding theoretical predictions could be suitable for comparison with actual Earth-based measurements [3,5,6]. Furthermore, the same theoretical approach is applicable for comparative study of the results of microgravity Confined Helium Experiment (CHEX) [1] conducted aboard the space shuttle and, hopefully, future experiments [17,20] which are scheduled to be carried out on the Low Temperature Microgravity Physics Facility (LTMPF) aboard the International Space Station.…”
Section: Helium-in-cylinrical-confinment Heat Capacity: Theoretical Pmentioning
confidence: 99%