MTT-S International Microwave Symposium Digest
DOI: 10.1109/mwsym.1982.1130768
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A Broadband, Solid State Millimeter-Wave Synthesizer

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Cited by 3 publications
(3 citation statements)
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“…Thus, despite the correlation length exponent ν G = 1, we note that the geometrical clusters are too compact to represent the critical droplets, and the exponent β G = 5/96 differs appreciably from the corresponding thermal exponent β = 1/8, associated with the vanishing of the magnetization order parameter at T c . The value of the correlation length (also known as the connectivity length) exponent ν G = 1, for the geometrical clusters of the two-dimensional TBIM, is in excellent agreement with the values obtained from a real-space renormalization group analysis [1,7], high-temperature series expansion studies [26], and precision numerical simulations of the geometrical clusters of the standard two-dimensional Ising model [2,27]. This result, however, opens a question about a near perfect collapse onto a universal function for the same data obtained for the regular Ising model, but with a different exponent 15 8 [21].…”
Section: Resultssupporting
confidence: 79%
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“…Thus, despite the correlation length exponent ν G = 1, we note that the geometrical clusters are too compact to represent the critical droplets, and the exponent β G = 5/96 differs appreciably from the corresponding thermal exponent β = 1/8, associated with the vanishing of the magnetization order parameter at T c . The value of the correlation length (also known as the connectivity length) exponent ν G = 1, for the geometrical clusters of the two-dimensional TBIM, is in excellent agreement with the values obtained from a real-space renormalization group analysis [1,7], high-temperature series expansion studies [26], and precision numerical simulations of the geometrical clusters of the standard two-dimensional Ising model [2,27]. This result, however, opens a question about a near perfect collapse onto a universal function for the same data obtained for the regular Ising model, but with a different exponent 15 8 [21].…”
Section: Resultssupporting
confidence: 79%
“…Using the finite-size scaling ansatz as given in equation (11), the correlation length exponent ν G for the emerging spanning cluster, is estimated from a scaling plot of L −Dc M(L) against L 1/ν G (β/β c − 1) as shown in figure 6. By varying ν G , and evaluating the quality of the data collapse, our best estimate of the correlation length exponent for the geometrical clusters is ν G = 1.01 (2). Finally, the slope of the log-log plot of P ∞ versus L results in β G = 0.051(3), as shown in figure 7, which fits well into the hyperscaling relation for the percolation exponents in d spatial dimensions D c = d − β G ν G .…”
Section: Resultsmentioning
confidence: 99%
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