Paper Alignment of radicals into chains by a Markov mechanism for polarity formation{
نویسندگان
چکیده
Heike I. Süss, Thomas Wuest, Andreas Sieber, Rolf Althaus, Felix Budde, Hans-Peter Lüthi, Gordon D. McManus, Jeremy Rawson and Jürg Hulliger* Department of Chemistry and Biochemistry, University of Berne, Freiestrasse 3, 3012 Berne, Switzerland. E-mail: [email protected] Laboratory of Physical Chemistry, ETH Zurich, ETH-Hönggerberg, 8093 Zurich, Switzerland Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, UK CB2 1EW
منابع مشابه
Computational Model of Reaction Mechanism of Alkyl Peroxy Radicals with Organic Compounds in the Presence and Absence of Oxygen
On the basis of experimental data a kinetic model for the heterogeneous interaction between alkylperoxyradicals and organic compounds in Langmuir- Hinshelwood approach at room temperature has been offered.The effect of oxygen on the kinetics of process in the presence, [O2]o = 1 x 1011 – 1.6 x 1012 molecules.cm-2, and absence of oxygen has been analyzed. Over time the chain degenerate branching...
متن کاملThe Rate of Rényi Entropy for Irreducible Markov Chains
In this paper, we obtain the Rényi entropy rate for irreducible-aperiodic Markov chains with countable state space, using the theory of countable nonnegative matrices. We also obtain the bound for the rate of Rényi entropy of an irreducible Markov chain. Finally, we show that the bound for the Rényi entropy rate is the Shannon entropy rate.
متن کاملEvaluation of First and Second Markov Chains Sensitivity and Specificity as Statistical Approach for Prediction of Sequences of Genes in Virus Double Strand DNA Genomes
Growing amount of information on biological sequences has made application of statistical approaches necessary for modeling and estimation of their functions. In this paper, sensitivity and specificity of the first and second Markov chains for prediction of genes was evaluated using the complete double stranded DNA virus. There were two approaches for prediction of each Markov Model parameter,...
متن کاملTaylor Expansion for the Entropy Rate of Hidden Markov Chains
We study the entropy rate of a hidden Markov process, defined by observing the output of a symmetric channel whose input is a first order Markov process. Although this definition is very simple, obtaining the exact amount of entropy rate in calculation is an open problem. We introduce some probability matrices based on Markov chain's and channel's parameters. Then, we try to obtain an estimate ...
متن کاملEmpirical Bayes Estimation in Nonstationary Markov chains
Estimation procedures for nonstationary Markov chains appear to be relatively sparse. This work introduces empirical Bayes estimators for the transition probability matrix of a finite nonstationary Markov chain. The data are assumed to be of a panel study type in which each data set consists of a sequence of observations on N>=2 independent and identically dis...
متن کامل