Results 91 to 100 of about 939,270 (332)
The geometrical approach to phase transitions is illustrated by simulating the high-temperature representation of the Ising model on a square lattice.Comment: 5 pages, 3 figures, talk presented at Conference on Computational Physics 2004, Genoa, 1-4 ...
Adriaan M.J. Schakel +9 more
core +3 more sources
A numerical model resulting from irreversible thermodynamics for describing transport processes is introduced, focusing on thermodynamic activity gradients as the actual driving force for diffusion. Implemented in CUDA C++ and using CalPhaD methods for determining the necessary activity data, the model accurately simulates interdiffusion in aluminum ...
Ulrich Holländer +3 more
wiley +1 more source
Development and evaluation of granular simulation for integrating computational thinking into computational physics courses. [PDF]
Muliyati D +6 more
europepmc +1 more source
Vectorized Monte Carlo methods for reactor lattice analysis [PDF]
Some of the new computational methods and equivalent mathematical representations of physics models used in the MCV code, a vectorized continuous-enery Monte Carlo code for use on the CYBER-205 computer are discussed.
Brown, F. B.
core +1 more source
Creep experiments at 900°C on coarse‐grained steel‐ceramic composites containing recycled magnesia reveal that higher ceramic volume fractions significantly enhance the creep resistance. Detailed EBSD investigations identify subgrain formation in the steel matrix as the dominant deformation mechanism.
Moritz Müller +6 more
wiley +1 more source
Sol–Gel Derived Polymer Precursors for Stereolithography of ZrC
ZrC is a critical material target for extreme temperature conditions. This report describes a protocol for preparing ZrC ceramics via stereolithography and examines the impact of the polymer matrix on carbothermal reduction and mechanical stability of 3D printed ZrC.
Charles J. Rafalko +2 more
wiley +1 more source
The generalization of the classical FitzHugh–Nagumo model provides a more accurate description of the physical phenomena of neurons by incorporating both nonlinearity and fractional derivatives.
Hayat Afzaal Mubashir +6 more
doaj +1 more source
Numerical Generation of Trajectories Statistically Consistent with Stochastic Differential Equations
A weak second-order numerical method for generating trajectories based on stochastic differential equations (SDE) is developed. The proposed approach bypasses direct noise realization by updating the system’s state using independent Gaussian random ...
Mykhaylo Evstigneev
doaj +1 more source
Applying computational complexity to the emergence of classicality [PDF]
Can the computational complexity theory of computer science and mathematics say something new about unresolved problems in quantum physics? Particularly, can the P versus NP question in the computational complexity theory be a factor in the elucidation ...
Bolotin, Arkady
core
Learn Physics by Programming in Haskell
We describe a method for deepening a student's understanding of basic physics by asking the student to express physical ideas in a functional programming language.
Walck, Scott N.
core +2 more sources

