A test of the random network model of water using molecular dynamics simulation data

1981 ◽  
Vol 77 (3) ◽  
pp. 455-459 ◽  
Author(s):  
Alan C. Belch ◽  
Stuart A. Rice ◽  
Mark G. Sceats
2019 ◽  
Vol 44 (11) ◽  
pp. 902-913 ◽  
Author(s):  
Peter W. Hildebrand ◽  
Alexander S. Rose ◽  
Johanna K.S. Tiemann

2018 ◽  
Author(s):  
Avimanyu Bandyopadhyay

This paper discusses the difficulties experienced by bioinformaticians while working with extensive data generated from extended molecular dynamics simulations. For better experimental analysis, it often becomes crucial to conduct simulations up to extended periods of time. When with limited resources, running a complete simulation up to a desired length of time can become quite difficult to be performed at one go. So, a new approach is proposed to simplify handling such data for better productivity.


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