Bi-Hamiltonian in Semiflexible Polymer as Strongly Coupled System
Heeyuen Koh, Shigeo Maruyama
TL;DR
The paper addresses memory effects arising from cross-coupled, bi-Hamiltonian dynamics in semiflexible polymers, focusing on coarse-grained SWCNT models. It develops a diffusion-based description from the overdamped Smoluchowski equation within a Stochastic Thermodynamics framework, introducing a cross-term $\phi$ that couples $H_{\ell}$ and $H_{\theta}$. The key contributions include a finite-bath ensemble with a strongly coupled perturbation $\phi$ and validation via MD/CGMD SWCNT collision simulations, showing that heat-diffusion damping improves agreement with atomic-scale results. The work demonstrates that diffusion acts as a principled damping mechanism for memory effects in far-from-equilibrium nanoscale systems, enabling more accurate CGMD modeling of nonlinear dynamics and mode coupling. This approach provides a pathway to incorporate memory effects into CGMD of semiflexible polymers and potentially informs the design of nano-mechanical devices.
Abstract
The memory effect, which quantifies the interconnection between the target system and its environment, correlates states between distinct Hamiltonians. In this paper, we propose the diffusion process derived from Smoluchowski equation that can manifest the evolution of memory effect integration in non Markovian regime. The master equation from the Smoluchowski picture, within the framework of Stochastic Thermodynamics, justifies the use of the diffusion process. The numerical experiments using collision between semiflexible polymers like single walled carbon nanotubes(SWCNT) confirm the derivation and the justification of the usage of the heat diffusion to compensate the correlated momentum between two Hamiltonians that compose coarse grained system of SWCNT. The diffusion process governs the nonlinear motion in both equilibrium and far from equilibrium states.
