Maximum Entropy approach to a Mean Field Theory for Fluids

Details Maximum Entropy approach to a Mean Field Theory for Fluids Maximum Entropy approach to a Mean Field Theory for Fluids

2002-12-09

arxiv.org/abs/cond-mat/0212198v4

p. 73 in "Bayesian Inference and Maximum Entropy Methods in Science and Engineering" ed. by C. J. Williams (A.I.P. Vol. 659, 2

Physics

Condensed Matter

Statistical Mechanics

Correctly included 4 figures into the article. Presented at MaxEnt 2002, the 22th International Workshop on Bayesian Inference

Scientific paper

10.1063/1.1570536

Making statistical predictions requires tackling two problems: one must assign appropriate probability distributions and then one must calculate a variety of expected values. The method of maximum entropy is commonly used to address the first problem. Here we explore its use to tackle the second problem. We show how this use of maximum entropy leads to the Bogoliuvob variational principle which we generalize, apply to density functional theory, and use it to develop a mean field theory for classical fluids. Numerical calculations for Argon gas are compared with experimental data.

Affiliated with

Also associated with

No associations

Rating

Maximum Entropy approach to a Mean Field Theory for Fluids does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Maximum Entropy approach to a Mean Field Theory for Fluids, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Maximum Entropy approach to a Mean Field Theory for Fluids will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-74588