Ma Hong-Ru
Shanghai Jiao Tong University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Ma Hong-Ru.
Chinese Physics Letters | 2007
Ye Xi; Cheng Yang; Huang Xue-dong; Ma Hong-Ru
We report a systematic investigation of the spreading of a polydimethylsiloxane oil layer on flat surfaces of solution containing anionic surfactant of sodium dodecylsulfate. The experiment reveals that different wetting behaviours of the oil follow different spreading rates. In the case of complete wetting, it obeys a 0.75 power law, while in the pseudopartial wetting it follows a non-power law. The results can well be explained by a new simple theory of spreading. The theory further predicts that for a complete wetting state there exists another spreading rate.
Chinese Physics Letters | 2004
Li Wei-Hua; Ma Hong-Ru
A new semianalytical method, which is a combination of the density functional theory with Rosenfeld density functional and the Ornstein–Zernike equation, is proposed for the calculation of the effective depletion potentials between a pair of big spheres immersed in a small hard sphere fluid. The calculated results are almost identical to the integral equation method with the Percus–Yevick approximation, and are also in agreement well with the Monte Carlo simulation results.
Chinese Physics | 2007
Chen Jia; Li Sheng; Ma Hong-Ru
We have studied sharp peak landscapes of the Eigen model from a new perspective about how the quasispecies are distributed in the sequence space. To analyse the distribution more carefully, we bring in two tools. One tool is the variance of Hamming distance of the sequences at a given generation. It not only offers us a different avenue for accurately locating the error threshold and illustrates how the configuration of the distribution varies with copying fidelity q in the sequence space, but also divides the copying fidelity into three distinct regimes. The other tool is the similarity network of a certain Hamming distance d0, by which we can gain a visual and in-depth result about how the sequences are distributed. We find that there are several local similarity optima around the centre (global similarity optimum) in the distribution of the sequences reproduced near the threshold. Furthermore, it is interesting that the distribution of clustering coefficient C(k) follows lognormal distribution and the curve of clustering coefficient C of the network versus d0 appears to be linear near the threshold.We study sharp peak landscapes (SPL) of Eigen model from a new perspective about how the quasispecies distribute in the sequence space. To analyze the distribution more carefully, we bring forth two tools. One tool is the variance of Hamming distance of the sequences at a given generation. It not only offers us a different avenue for accurately locating the error threshold and illustrates how the configuration of the distribution varies with copying fidelity
Chinese Physics | 2007
He Dong-Hui; Yang Tao; Li Wei-Hua; Zhang Qing-Lan; Ma Hong-Ru
q
Chinese Physics | 2007
Jing Jun; Ma Hong-Ru
in the sequence space, but also divides the copying fidelity into three distinct regimes. The other tool is the similarity network of a certain Hamming distance
Chinese Physics Letters | 2005
Wei Fang-Ping; Li Sheng; Ma Hong-Ru
d_{0}
Chinese Physics Letters | 2003
Li Wei-Hua; Zhu Wei-Zhao; Ma Hong-Ru
, by which we can get a visual and in-depth result about how the sequences distribute. We find that there are several local optima around the center (global optimum) in the distribution of the sequences reproduced near the threshold. Furthermore, it is interesting that the distribution of clustering coefficient
Chinese Physics Letters | 2001
Chen Yu-Jun; Ma Hong-Ru
C(k)
Chinese Physics Letters | 2015
Miao Han; Li Yao; Li Sheng; Xu Hai-guang; Ma Hong-Ru
follows lognormal distribution and the curve of clustering coefficient
Chinese Physics Letters | 2008
Jing Jun; Lü Zhi-Guo; Yuan Xiao-Zhong; Ma Hong-Ru
C