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Off-Lattice Markov Chain Monte Carlo Simulations of Mechanically Driven Polymers

by Lijie Ding, Chi-huan Tung, Bobby G Sumpter, Wei-ren Chen, Changwoo Do
Publication Type
Journal
Journal Name
Physical Review Letters
Publication Date
Page Numbers
10697 to 10702
Volume
20
Issue
23

We develop off-lattice simulations of semiflexible polymer chains subjected to applied mechanical forces by using Markov Chain Monte Carlo. Our approach models the polymer as a chain of fixed length bonds, with configurations updated through adaptive nonlocal Monte Carlo moves. This proposed method enables precise calculation of a polymer’s response to a wide range of mechanical forces, which traditional on-lattice models cannot achieve. Our approach has shown excellent agreement with theoretical predictions of persistence length and end-to-end distance in quiescent states as well as stretching distances under tension. Moreover, our model eliminates the orientational bias present in on-lattice models, which significantly impacts calculations such as the scattering function, a crucial technique for revealing the polymer conformation.