Special Issue on Computational Physics
Most
problems in physics are too complicated for a straightforward comparison
between theory and experiment, and even given the theoretical background, the
consequences may be impossible to comprehend. Computational Physics builds a
bridge between theoretical and experimental science, and with the advances in
computing power, the field has become integral in almost all sciences. Alse,
the data handling itself has become part of the topic (Big Data). The
goal of this special issue is to provide a platform for scientists and
academicians all over the world to promote, share, and discuss various new
issues and developments in the area of computational physics.
In this special issue, we invite front-line researchers and
authors to submit original research and review articles that explore computational physics. In this special issue, potential topics include, but are not
limited to:
-
The
monte carlo method
-
Finite
element method
-
The
molecular dynamics method
-
Computer
algebra
-
Mathematica
in quantum mechanics
-
Neural
network method and its application
-
High
performance computing and parallel algorithm
-
Topological
mixing
Authors should read over the journal’s Authors’ Guidelines carefully before submission. Prospective authors should
submit an electronic copy of their complete manuscript through the journal’s Paper
Submission System.
Please kindly specify the “Special
Issue” under your manuscript title. The research field “Special Issue - Computational Physics” should be selected during your submission.
Special Issue timetable:
Submission
Deadline
|
November 20th,
2019
|
Publication Date
|
January 2020
|
Guest Editor:
For
further questions or inquiries
Please
contact the Editorial Assistant at
jmp@scirp.org