A new Brownian dynamics model is presented to describe the coarse grain dynamics of particles with long-lived memory. Instead of solving a set of generalized Langevin equations we introduce a set of variables describing the slowly fluctuating thermodynamic state of the ignored degrees of freedom. These variables give rise to additional transient forces on the simulated particles, whose interpretation provides a new way of thinking about memory effects in soft-matter physics. We illustrate the proposed method by simulating shear thinning of synthetic resins
A microscopic approach is presented for calculating general properties of interacting Brownian parti...
We present a numerical method to compute non-equilibrium memory kernels based on experimental data o...
A coarse-graining (CG) approach is developed to infer mesoscale interaction potentials in aggregatin...
Complex soft matter usually consists of large molecules with extremely many degrees of freedom. In t...
This thesis is concerned with coarse-graining dynamics of interacting particle systems. We study two...
In this chapter we will review the standard ways to perform stochastic simulations on soft matter wi...
We describe in detail how to implement a coarse-grained hybrid molecular dynamics and stochastic rot...
We present a coarse-grained particle-based simulation technique for modeling flow of complex soft ma...
We describe in detail how to implement a coarse-grained hybrid molecular dynamics and stochastic rot...
We describe in detail how to implement a coarse-grained hybrid molecular dynamics and stochastic rot...
We present a Galilean invariant, momentum conserving first order Brownian dynamics scheme for coarse...
Active matter, responsive ("smart") materials and materials under time-dependent load are systems ou...
The effective dynamics of a colloidal particle immersed in a complex medium is often described in te...
The systematic development of coarse-grained (CG) models via the Mori–Zwanzig projector operator for...
Dynamic coarse graining is a procedure to map a dynamical system with large degrees of freedom to a ...
A microscopic approach is presented for calculating general properties of interacting Brownian parti...
We present a numerical method to compute non-equilibrium memory kernels based on experimental data o...
A coarse-graining (CG) approach is developed to infer mesoscale interaction potentials in aggregatin...
Complex soft matter usually consists of large molecules with extremely many degrees of freedom. In t...
This thesis is concerned with coarse-graining dynamics of interacting particle systems. We study two...
In this chapter we will review the standard ways to perform stochastic simulations on soft matter wi...
We describe in detail how to implement a coarse-grained hybrid molecular dynamics and stochastic rot...
We present a coarse-grained particle-based simulation technique for modeling flow of complex soft ma...
We describe in detail how to implement a coarse-grained hybrid molecular dynamics and stochastic rot...
We describe in detail how to implement a coarse-grained hybrid molecular dynamics and stochastic rot...
We present a Galilean invariant, momentum conserving first order Brownian dynamics scheme for coarse...
Active matter, responsive ("smart") materials and materials under time-dependent load are systems ou...
The effective dynamics of a colloidal particle immersed in a complex medium is often described in te...
The systematic development of coarse-grained (CG) models via the Mori–Zwanzig projector operator for...
Dynamic coarse graining is a procedure to map a dynamical system with large degrees of freedom to a ...
A microscopic approach is presented for calculating general properties of interacting Brownian parti...
We present a numerical method to compute non-equilibrium memory kernels based on experimental data o...
A coarse-graining (CG) approach is developed to infer mesoscale interaction potentials in aggregatin...