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Articles: 2'506'133
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27 April 2024
 
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Results 1 to 20 of 2'823 for query "N. Tuning". (0.00 sec.)

[    1    2    3    4    5    10    ]   Next

1.
SU(N) Evolution of a Frustrated Spin Ladder
M. J. Bhaseen; A. M. Tsvelik;
9 May 2003
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2.
Mott transition and superconductivity in the strongly correlated organic superconductor $kappa$-(BEDT-TTF)$_{2}$Cu[N(CN)$_{2}]$Br
T. Sasaki; N. Yoneyama; N. Kobayashi;
23 Jan 2008
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3.
Cepheid, Tully-Fisher and SNIa Distances
T. Shanks; P.D. Allen; F. Hoyle; N.R. Tanvir;
12 Aug 2002
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4.
New method for a continuous determination of the spin tune in storage rings and implications for precision experiments
D. Eversmann; V. Hejny; F. Hinder; A. Kacharava; J. Pretz; F. Rathmann; M. Rosenthal; F. Trinkel; S. Andrianov; W. Augustyniak; Z. Bagdasarian; M. Bai; W. Bernreuther; S. Bertelli; M. Berz; J. Bsaisou; S. Chekmenev; D. Chiladze; G. Ciullo; M. Contalbrigo; J. de Vries; S. Dymov; R. Engels; F.M. Esser; O. Felden; M. Gaisser; R. Gebel; H. Glückler; F. Goldenbaum; K. Grigoryev; D. Grzonka; G. Guidoboni; C. Hanhart; D. Heberling; N. Hempelmann; J. Hetzel; R. Hipple; D. Hölscher; A. Ivanov; V. Kamerdzhiev; B. Kamys; I. Keshelashvili; A. Khoukaz; I. Koop; H-J. Krause; S. Krewald; A. Kulikov; A. Lehrach; P. Lenisa; N. Lomidze; B. Lorentz; P. Maanen; G. Macharashvili; A. Magiera; R. Maier; K. Makino; B. Marianski; D. Mchedlishvili; Ulf-G. Meißner; S. Mey; A. Nass; G. Natour; N. Nikolaev; M. Nioradze; A. Nogga; K. Nowakowski; A. Pesce; D. Prasuhn; J. Ritman; Z. Rudy; A. Saleev; Y. Semertzidis; Y. Senichev; V. Shmakova; A. Silenko; J. Slim; H. Soltner; A. Stahl; R. Stassen; M. Statera; E. Stephenson; H. Stockhorst; H. Straatmann; H. Ströher; M. Tabidze; R. Talman; P. Thörngren Engblom; A. Trzcinski; Yu. Uzikov; Yu. Valdau; E. Valetov; A. Vassiliev; C. Weidemann; C. Wilkin; A. Wirzba; A. Wronska; P. Wüstner; M. Zakrzewska; E. Zaplatin; P. Zupranski; D. Zyuzin;
2 Apr 2015
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5.
Parameter Tuning Strategies for Metaheuristic Methods Applied to Discrete Optimization of Structural Design
Iván Negrin; Dirk Roose; Ernesto Chagoyén;
12 Oct 2021
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6.
$mathcal{N}=1$ Supersymmetric $SU(3)$ Gauge Theory - Towards simulations of Super-QCD
Björn Wellegehausen; Andreas Wipf;
5 Nov 2018
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7.
Machine learning enables completely automatic tuning of a quantum device faster than human experts
H. Moon; D.T. Lennon; J. Kirkpatrick; N.M. van Esbroeck; L.C. Camenzind; Liuqi Yu; F. Vigneau; D.M. Zumbühl; G.A.D. Briggs; M.A Osborne; D. Sejdinovic; E.A. Laird; N. Ares;
8 Jan 2020
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8.
Four-Dimensional N=1 Supersymmetric Yang-Mills Theory on the Lattice without Fine-Tuning
Jun Nishimura;
27 Dec 1996   /  Phys.Lett. B406 (1997) 215-218
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9.
Auto-tuning of double dot devices in situ with machine learning
Justyna P. Zwolak; Thomas McJunkin; Sandesh S. Kalantre; J. P. Dodson; E. R. MacQuarrie; D. E. Savage; M. G. Lagally; S. N. Coppersmith; Mark A. Eriksson; Jacob M. Taylor;
17 Sep 2019
- - -
10.
Electro-elastic tuning of single particles in individual self-assembled quantum dots
Chris E. Kuklewicz; Ralph N. E. Malein; Pierre M. Petroff; Brian D. Gerardot;
21 Apr 2012
- - -
11.
Tuning of magnetic frustration in $S=1/2$ Kagom'{e} lattices {[Cu$_{3}$(CO$_{3}$)$_{2}$$(bpe)_{3}$](ClO$_{4}$)$_2$}$_{n}$ and {[Cu$_{3}$(CO$_{3}$)$_{2}$$(bpy)_{3}$](ClO$_{4}$)$_2$}$_{n}$ through rigid and flexible ligands
M. O. Ajeesh; A. Yogi; M. Padmanabhan; R. Nath;
18 Sep 2014
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12.
Clarifying Inflation Models: Slow-roll as an expansion in 1/N_{efolds} and No Fine Tuning
D. Boyanovsky; H. J. de Vega; N. G. Sanchez;
26 Jul 2005
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13.
Quantum device fine-tuning using unsupervised embedding learning
N.M. van Esbroeck; D.T. Lennon; H. Moon; V. Nguyen; F. Vigneau; L.C. Camenzind; L. Yu; D.M. Zumbühl; G.A.D. Briggs; D. Sejdinovic; N. Ares;
13 Jan 2020
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14.
Tuning band alignment at a semiconductor-crystalline oxide heterojunction via electrostatic modulation of the interfacial dipole
M. Chrysler; J. Gabel; T.-L. Lee; A. N. Penn; B. E. Matthews; D. M. Kepaptsoglou; Q. M. Ramasse; J. R. Paudel; R. K. Sah; J. D. Grassi; Z. Zhu; A. X. Gray; J. M. LeBeau; S. R. Spurgeon; S. A. Chambers; P. V. Sushko; J. H. Ngai;
27 May 2021
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15.
Fine-Tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets
Max Fleming; Priyanka Dondeti; Caitlin N. Dreisbach; Adam Poliak;
12 Apr 2021
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16.
The Universe as a Set of Topological Fluids with Hierarchy and Fine Tuning of Coupling Constants in Terms of Graph Manifolds
Vladimir N. Efremov; Alfonso M. Hernandez Magdaleno; Fernando I. Becerra Lopez;
3 Sep 2013
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17.
Fine tuning in the Standard Model and Beyond
A.A.Andrianov; N.V.Romanenko;
27 Dec 1995
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18.
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art
Vito Walter Anelli; Alejandro Bellogín; Tommaso Di Noia; Dietmar Jannach; Claudio Pomo;
2 Mar 2022
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19.
Fine Tuning and Six-Dimensional Gauged $N=(1,0)$ Supergravity Vacua
R. Guven; James T.Liu; C.N. Pope; E. Sezgin;
20 Jun 2003   /  Class.Quant.Grav. 21 (2004) 1001-1014
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20.
Tuning topological phases in N-stacked Su-Schrieffer-Heeger chains by systematic breaking of symmetries
Aayushi Agrawal; Jayendra N. Bandyopadhyay;
5 Dec 2022
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