Physics – Condensed Matter – Statistical Mechanics
Scientific paper
2009-06-18
Proc. Natl. Acad. Sci. USA 106 (2009), 9570-9575
Physics
Condensed Matter
Statistical Mechanics
8 pages, 5 figures
Scientific paper
10.1073/pnas.0901636106
We study inverse statistical mechanics: how can one design a potential function so as to produce a specified ground state? In this paper, we show that unexpectedly simple potential functions suffice for certain symmetrical configurations, and we apply techniques from coding and information theory to provide mathematical proof that the ground state has been achieved. These potential functions are required to be decreasing and convex, which rules out the use of potential wells. Furthermore, we give an algorithm for constructing a potential function with a desired ground state.
Cohn Henry
Kumar Abhinav
No associations
LandOfFree
Algorithmic design of self-assembling structures 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 Algorithmic design of self-assembling structures, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Algorithmic design of self-assembling structures will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-400689