Estimation of Lennard-Jones Potential Energy Parameters from Liquid Densities.

1964 ◽  
Vol 9 (4) ◽  
pp. 553-556 ◽  
Author(s):  
T. M. Reed ◽  
M. D. McKinley

1954 ◽  
Vol 7 (1) ◽  
pp. 1 ◽  
Author(s):  
SD Hamann ◽  
JA Lambert

Consideration of the spherically smoothed mutual potential energy between nearly spherical polyatomic molecules leads to the conclusion that it can often be well represented by a (28,7) type of Lennard-Jones potential. Second and third virial coefficients have been calculated for this potential and also for (∞,6) and (∞,7) potentials. The (28,7) interaction energy gives a good description of the properties of gases of quasi-spherical molecules. For these gases it is markedly superior to the more usual (12,6) potential.



2014 ◽  
Vol 59 (2) ◽  
pp. 172-178 ◽  
Author(s):  
Ushcats M.V. Ushcats M.V. ◽  


2021 ◽  
Vol 22 (11) ◽  
pp. 5914
Author(s):  
Mengsheng Zha ◽  
Nan Wang ◽  
Chaoyang Zhang ◽  
Zheng Wang

Reconstructing three-dimensional (3D) chromosomal structures based on single-cell Hi-C data is a challenging scientific problem due to the extreme sparseness of the single-cell Hi-C data. In this research, we used the Lennard-Jones potential to reconstruct both 500 kb and high-resolution 50 kb chromosomal structures based on single-cell Hi-C data. A chromosome was represented by a string of 500 kb or 50 kb DNA beads and put into a 3D cubic lattice for simulations. A 2D Gaussian function was used to impute the sparse single-cell Hi-C contact matrices. We designed a novel loss function based on the Lennard-Jones potential, in which the ε value, i.e., the well depth, was used to indicate how stable the binding of every pair of beads is. For the bead pairs that have single-cell Hi-C contacts and their neighboring bead pairs, the loss function assigns them stronger binding stability. The Metropolis–Hastings algorithm was used to try different locations for the DNA beads, and simulated annealing was used to optimize the loss function. We proved the correctness and validness of the reconstructed 3D structures by evaluating the models according to multiple criteria and comparing the models with 3D-FISH data.



2014 ◽  
Vol 21 (11) ◽  
pp. 113703 ◽  
Author(s):  
Y. Z. Qian ◽  
H. Chen ◽  
S. Q. Liu


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