Results 21 to 30 of about 941,372 (293)

Quantum Annealing: from Viewpoints of Statistical Physics, Condensed Matter Physics, and Computational Physics

, 2012
In this paper, we review some features of quantum annealing and related topics from viewpoints of statistical physics, condensed matter physics, and computational physics.
Tamura, Ryo, Tanaka, Shu
core   +1 more source

Lepton-nucleon interactions at the next-to-the-leading order [PDF]

, 2009
Next-to-Leading-Order (NLO) effects play a crucial role in tests of the Standard Model (SM), and require careful theoretical evaluation. Electroweak physics, which has just entered the precision age, is an excellent place to search for new physics, but ...
A Aleksejevs, Aleksejevs A, Aleksejevs A, Aleksejevs A, Butler M, G0 Collaboration, JAMVermaseren, S Barkanova   +7 more
core   +1 more source

Towards the Analytical Generalization of the Transcendental Energy Equation, Group Velocity, and Effective Mass in One-Dimensional Periodic Potential Wells with a Computational Application to Common Coupled Potentials

Applied Sciences
The analytical generalization for N periodic potential wells coupled to a probe rectangular-like potential and a zero potential is extremely important in the study of one-dimensional periodic potentials in solid state physics, e.g., in the calculation of
F. Mendoza-Villa, Erich V. Manrique-Castillo, Edson C. Passamani, Juan A. Ramos-Guivar   +3 more
doaj   +1 more source

The 2nd Scientific workshop for students “Computational physics of DNA”

Біофізичний вісник
The article is devoted to the 2nd Scientific workshop for students “Computational physics of DNA”.
С. М. Перепелиця, Т. Л. Бубон   +1 more
doaj   +1 more source

Using the Mass Storage System at ZIB within I3HP

, 2005
In the framework of I3HP there are two Transnational Access Activities related to Computational Hadron Physics. One of these activities is access to the mass storage system at Konrad-Zuse-Zentrum fuer Informationstechnik Berlin (ZIB).
Stüben, H., Wollny, S.
core   +1 more source

The Pivotal Role of Causality in Local Quantum Physics [PDF]

, 1998
In this article an attempt is made to present very recent conceptual and computational developments in QFT as new manifestations of old and well establihed physical principles.
(Schroer B, Araki H, Aste A, Becchi C, Becchi C, Bert Schroer, Bisognano J J, Bisognano J J, Bogoliubov N N, Borchers H J, Borchers H J, Borchers H-J, Bratteli O, Brunetti R, Buchholz D, Buchholz D, Buchholz D, Doplicher S, Dubois-Violette M, Duetsch M, Duetsch M, Duetsch M, Epstein H, Fredenhagen K, Grigore D, Guido D, Haag R, Haag R, Jaekel C, Kawahigashi Y, Kempf A, Kugo T, Lashkevich M Yu, Lowenstein J H, Roberts J H, Schroer B, Schroer B, Schroer B, Schroer B, Schroer B, Schroer B, Schroer B, Schroer B, Schroer B, Schroer B, Schwinger J, Sewell G L, Smirnov F A, Summers S, Takesaki M, Wassermann A, Weinberg S, Wiesbrock H-W, Wiesbrock H-W, Wightman A S   +54 more
core   +5 more sources

Physics and the new computation [PDF]

, 1995
New computation devices increasingly depend on particular physical properties rather than on logical organization alone as used to be the case in conventional technologies. This has impact on the synthesis and analysis of algorithms and the computation models on which they are to run. Therefore, scientists working in these areas will have to understand
openaire   +2 more sources

Unifying projected entangled pair state contractions

New Journal of Physics, 2014
The approximate contraction of a tensor network of projected entangled pair states (PEPS) is a fundamental ingredient of any PEPS algorithm, required for the optimization of the tensors in ground state search or time evolution, as well as for the ...
Michael Lubasch, J Ignacio Cirac, Mari-Carmen Bañuls   +2 more
doaj   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

Error estimates for a physics-informed neural network in solving KdV equations

Machine Learning: Science and Technology
This paper aims to provide error bounds on physics-informed neural network (PINN) in solving Korteweg–de Vries (KdV) equations. We prove that a neural network equipped with two hidden layers and the tanh activation function can reduce the partial ...
Jia Guo, Ziyuan Liu, Chenping Hou
doaj   +1 more source