One-dimensional inhomogeneous Ising model: A new approach

1987 ◽  
Vol 48 (3-4) ◽  
pp. 531-538 ◽  
Author(s):  
C. F. Tejero
Keyword(s):  
Ising Model ◽  
New Approach ◽  
One Dimensional ◽  
Inhomogeneous Ising Model

TACKLING THE SIGN PROBLEM

1994 ◽  
Vol 05 (02) ◽  
pp. 275-277
Author(s):  
T D Kieu ◽  
C J Griffin
Keyword(s):  
Monte Carlo ◽  
Ising Model ◽  
New Approach ◽  
Statistical Errors ◽  
Sign Problem ◽  
Complex Valued ◽  
1D Complex

To tackle the sign problem in the simulations of systems having indefinite or complex-valued measures, we propose a new approach which yields statistical errors smaller than the crude Monte Carlo using absolute values of the original measures. The 1D complex-coupling Ising model is employed as an illustration.

Graphene oxide hydrogel improved sensitivity in one-dimensional photonic crystals for detection of beta-glucan

RSC Advances ◽  
2015 ◽  
Vol 5 (94) ◽  
pp. 77211-77216 ◽  
Author(s):  
Jiaoyu Ren ◽  
Hongyun Xuan ◽  
Cihui Liu ◽  
Chong Yao ◽  
Yanxi Zhu ◽  
...  
Keyword(s):  
Graphene Oxide ◽  
Photonic Crystals ◽  
Congo Red ◽  
Beta Glucan ◽  
New Approach ◽  
One Dimensional

This study establishes a new approach to quantify beta-glucan in oats by combining the dye Congo red with 1DPhCs with a PANI defect.

One-dimensional kinetic ising model with one impurity

1985 ◽  
Vol 58 (4) ◽  
pp. 319-322 ◽  
Author(s):  
N. T. de Oliveira ◽  
L. L. Gonçalves ◽  
F. C. Sá Barreto
Keyword(s):  
Ising Model ◽  
Kinetic Ising Model ◽  
One Dimensional

scholarly journals An algorithm for delineating and extracting hillslopes and hillslope width functions from gridded elevation data

2011 ◽  
Vol 8 (5) ◽  
pp. 8865-8901
Author(s):  
P. Noel ◽  
A. N. Rousseau ◽  
C. Paniconi
Keyword(s):  
Three Dimensional ◽  
Rainfall Runoff ◽  
Dimensional Representation ◽  
New Approach ◽  
One Dimensional ◽  
Digital Elevation ◽  
Elevation Data ◽  
Average Profile ◽  
Elevation Model ◽  
Digital Elevation Model Resolution

Abstract. Subdivision of catchment into appropriate hydrological units is essential to represent rainfall-runoff processes in hydrological modelling. The commonest units used for this purpose are hillslopes (e.g. Fan and Bras, 1998; Troch et al., 2003). Hillslope width functions can therefore be utilised as one-dimensional representation of three-dimensional landscapes by introducing profile curvatures and plan shapes. An algorithm was developed to delineate and extract hillslopes and hillslope width functions by introducing a new approach to calculate an average profile curvature and plan shape. This allows the algorithm to be independent of digital elevation model resolution and to associate hillslopes to nine elementary landscapes according to Dikau (1989). This algortihm was tested on two flat and steep catchments of the province of Quebec, Canada. Results showed great area coverage for hillslope width function over individual hillslopes and entire watershed.

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