High-efficiency rarefied neutral gas computational model for plasma simulation [0.03%]
高效率稀薄中性气体计算模型及其在等离子体模拟中的应用研究
Renfan Mao,Junxue Ren,Zeyang Wang et al.
Renfan Mao et al.
A rarefied neutral gas computational model is proposed for efficiently evaluating quasi-steady-state neutral particle density distributions in plasma simulations. The linear evolution approximation of neutral phase space distribution under ...
Hiroto Kuroyanagi,Tatsuro Yuge
Hiroto Kuroyanagi
We numerically show that a deep neural network (DNN) can learn macroscopic thermodynamic laws purely from microscopic data. Using molecular dynamics simulations, we generate the data of snapshot images of gas particles undergoing adiabatic ...
Taras Holovatch,Yuri Kozitsky,Krzysztof Pilorz et al.
Taras Holovatch et al.
The following model is studied analytically and numerically: point particles with masses m,μ,m,⋯ (m≥μ) are distributed over the positive half-axis. Their dynamics is initiated by giving a positive velocity to the particle located at the...
Mikhail N Semeikin,Kay Jörg Wiese
Mikhail N Semeikin
We study the large-order behavior of the functional renormalization group (FRG). For a model in dimension zero, we establish Borel summability for a large class of microscopic couplings. Writing the derivatives of FRG as contour integrals, ...
Stefano Guarino,Enrico Mastrostefano,Davide Torre
Stefano Guarino
Real-world networks exhibit universal structural properties such as sparsity, small worldness, heterogeneous degree distributions, high clustering, and community structures. Geometric network models, particularly random hyperbolic graphs (R...
Pan Dong,Nathan C Keim,Joseph D Paulsen
Pan Dong
When a ribbon or tube is twisted far enough it forms buckles and wrinkles. Its new geometry can be strikingly ordered or hopelessly disordered. Here we study this process in a tube with hybrid boundary conditions: one end a cylinder and the...
Rajratan Basu
Rajratan Basu
The impact of ionic impurities on the fundamental properties of nematic liquid crystals (LC) has long been observed; however, their influence on fundamental material parameters remains quantitatively unclear. Here we develop and validate a ...
Louis-S Bouchard,Seulgi Moon
Louis-S Bouchard
Debris flows often exhibit coherent wave structures-shocklike roll waves on steeper slopes and weaker, more sinusoidal dispersive pulses on gentler slopes. Coarse-rich heads raise basal resistance, whereas fines-rich tails lower it; in gent...
Yoshihiko Hasegawa,Tomohiro Nishiyama
Yoshihiko Hasegawa
Thermodynamic uncertainty relations reveal a fundamental trade-off between the precision of a trajectory observable and entropy production, where the uncertainty of the observable is quantified by its variance. In information theory, Shanno...
Nicholas Mitchell,David Chapman,Grigory Kagan
Nicholas Mitchell
Electron heat flux is an important and often dominant mechanism of energy transport in a variety of collisional plasmas in a confined fusion or astrophysical context. While nonlocal conductive heat transport, driven by strong temperature gr...