NewJour Home |
NewJour: I |
Search
[Subject Prev] [Subject Next]
International Journal of Modern Physics C (IJMPC)
-
Sender: owner-newjour@ccat.sas.upenn.edu
Subject: International Journal of Modern Physics C (IJMPC)
Date: Thu, 23 Jul 1998 17:05:39 -0400 (EDT)
International Journal of Modern Physics C (IJMPC)
http://www.wspc.com/journals/ijmpc/ijmpc.html
ISSN: 0129-1831
This journal covers Computational Physics, Physical Computation and
related subjects. It aims to publish both review and research articles on
the use of computers to advance knowledge in the physical sciences, and
the use of physical analogies in computation. Topics covered include
computer algebra, numerical simulation techniques, parallel and vector
computers, lattice gauge theory, algorithms, etc.
Background
The role of computers in physics is growing in importance and there seems
little doubt that this will accelerate. The vitality of computational
physics stems from the inexorable advances in computer technology that
will lead, by the year 2000, to supercomputers with sustained performance
of a teraflop (10^12) floating point operations per second. This teraflop
supercomputer, and its associated gigaflop workstation on your desk, will
enhance the role of simulation as a third approach to physics, augmenting
the traditional experimental and theoretical methodogies. This journal
aims to take part in this revolution by providing timely publication of
high quality articles on the use of computers to advance knowledge in the
physical sciences.
A second thrust of the journal is what has been called physical
computation. This emerging field centres on the use of physical analogies
and methods to tackle nontraditional problems, sometimes called complex
systems, outside the normal domain of physics. Physical computation can
be applied to chemical and biological evolution, the structure of the
cerebral cortex, as well as to systems produced by mankind, ranging from
economics to communication networks. The methods of physical computation
include cellular automata, nonlinear dynamical systems, simulated
annealing, neural networks, and other novel optimization methods such as
genetic algorithms. This journal provides a focus for the publication of
the interdisciplinary research that constitutes this new field.
Contact:
Geoffrey C Fox, Managing Editor, gcf@npac.syr.edu
NewJour Home |
NewJour: I |
Search
[Subject Prev] [Subject Next]