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most citedA Gauss-Newton method for iterative optimization of memory kernels for generalized Langevin thermostats in coarse-grained molecular dynamics simulations

7 citations · 7 across the 2 of their papers we have counts for

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cond-mat.stat-mech2024★ 7 cited

A Gauss-Newton method for iterative optimization of memory kernels for generalized Langevin thermostats in coarse-grained molecular dynamics simulations

V. Klippenstein, N. Wolf, N. F. A. van der Vegt

In molecular dynamics simulations, dynamically consistent coarse-grained (CG) models commonly use stochastic thermostats to model friction and fluctuations that are lost in a CG de…