Zobrazeno 1 - 10
of 559
pro vyhledávání: '"Singh Simran"'
Autor:
Clarke, David A., Dimopoulos, Petros, Di Renzo, Francesco, Goswami, Jishnu, Schmidt, Christian, Singh, Simran, Zambello, Kevin
Using the multi-point Pad\'e approach, we locate Lee-Yang edge singularities of the QCD pressure in the complex baryon chemical potential plane. These singularities are extracted from singularities in the net baryon-number density calculated in $N_f=
Externí odkaz:
http://arxiv.org/abs/2405.10196
Autor:
Schmidt, Christian, Clarke, David A., Dimopoulos, Petros, Di Renzo, Francesco, Goswami, Jishnu, Singh, Simran, Skokov, Vladimir V., Zambello, Kevin
Publikováno v:
PoS LATTICE2023 (2024) 167
We discuss the scaling of the Yang-Lee singularity (YLs) and show how the universal scaling can be used to locate phase transitions in QCD. We describe two complementary methods to extract the location of the Yang-Lee singularity from lattice QCD dat
Externí odkaz:
http://arxiv.org/abs/2401.07790
Publikováno v:
Industrial Lubrication and Tribology, 2024, Vol. 76, Issue 10, pp. 1157-1167.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ILT-06-2024-0201
Publikováno v:
Phys. Rev. D 109, 074505 (2024)
We present a numerical calculation of the Lee-Yang and Fisher zeros of the 2D Ising model using multi-point Pad\'{e} approximants. We perform simulations for the 2D Ising model with ferromagnetic couplings both in the absence and in the presence of a
Externí odkaz:
http://arxiv.org/abs/2312.03178
Publikováno v:
Phys. Rev. D 109, 014508 2024
We discuss the analytic continuation of scaling function in the 3-dimensional Z(2),O(2) andO(4) universality classes using the Schofield representation of the magnetic equation of state. We show that a determination of the location of Lee-Yang edge s
Externí odkaz:
http://arxiv.org/abs/2311.13530
Autor:
Wang, Lingdong, Singh, Simran, Chakareski, Jacob, Hajiesmaili, Mohammad, Sitaraman, Ramesh K.
Accessing high-quality video content can be challenging due to insufficient and unstable network bandwidth. Recent advances in neural enhancement have shown promising results in improving the quality of degraded videos through deep learning. Neural-E
Externí odkaz:
http://arxiv.org/abs/2310.09920
Autor:
Maple, Carsten, Szpruch, Lukasz, Epiphaniou, Gregory, Staykova, Kalina, Singh, Simran, Penwarden, William, Wen, Yisi, Wang, Zijian, Hariharan, Jagdish, Avramovic, Pavle
This report examines Artificial Intelligence (AI) in the financial sector, outlining its potential to revolutionise the industry and identify its challenges. It underscores the criticality of a well-rounded understanding of AI, its capabilities, and
Externí odkaz:
http://arxiv.org/abs/2308.16538
Autor:
Kennelly, Margaret
Publikováno v:
School Library Journal. Dec2024, Vol. 70 Issue 12, p107-107. 1/6p.