1998
DOI: 10.2172/661646
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D-D fusion experiments using fast Z pinches

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Cited by 12 publications
(12 citation statements)
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“…Deuterium gas-puff experiments were carried out on the z-pinch at the University of California in Irvine (200 kA peak current, 600 ns rise-time [12] or 500 kA, 1.5 µs [13]), on the Angara-5-1 generator (2-3 MA, 100 ns [14,15]), on the Saturn generator (7 MA, 60 ns [16]), on the Z machine (17 MA, 100 ns [17,18]) and on the S-300 generator (2 MA, 100 ns [19,20]). The plasma dynamics of these deuterium z-pinches seemed to be very similar to the radial and pinch phase of dense plasma foci (see [21] and references herein).…”
Section: Plasma Physics and Controlled Fusionmentioning
confidence: 99%
“…Deuterium gas-puff experiments were carried out on the z-pinch at the University of California in Irvine (200 kA peak current, 600 ns rise-time [12] or 500 kA, 1.5 µs [13]), on the Angara-5-1 generator (2-3 MA, 100 ns [14,15]), on the Saturn generator (7 MA, 60 ns [16]), on the Z machine (17 MA, 100 ns [17,18]) and on the S-300 generator (2 MA, 100 ns [19,20]). The plasma dynamics of these deuterium z-pinches seemed to be very similar to the radial and pinch phase of dense plasma foci (see [21] and references herein).…”
Section: Plasma Physics and Controlled Fusionmentioning
confidence: 99%
“…Neutron yields from deuterium gas puff Z-pinches. 18, 21,22,27 We left out the peak neutron yield at 2-3 MA on the Angara-5-1 (Ref. 19) because it was achieved with a strong axial gradient of linear density.…”
Section: Neutron Yield Scaling With Currentmentioning
confidence: 99%
“…With a hollow gas puff, similar neutron yields of 2 Â 10 12 were achieved at significantly higher currents of about 8 MA on the Saturn generator. 21 The "saturation" of a neutron yield at a value of % 10 12 was overcome first on the Z machine with a double-shell deuterium gas-puff at a 17 MA current. 22,23 With regard to the overall neutron yield of 4 Â 10 13 , MHD (Ref.…”
Section: Introductionmentioning
confidence: 99%
“…Dan Spielman [30] has observed that it is possible to improve on the n k time bound of a naive search algorithm for learning parity using k log n examples:…”
Section: Anõ(n K/2 ) Time Attribute Efficient Algorithmmentioning
confidence: 99%