We use projection operators to address the coarse-grained multiscale problem in harmonic systems. Stochastic equations of motion for the coarse-grained variables with an inhomogeneous level of coarse graining in both time and space are presented. In contrast to previous approaches that typically start with thermodynamic averages the key element of our approach is the use of a projection matrix chosen both for its physical appeal in analogy to mechanical stability theory and for its algebraic properties. We show that thermodynamic equilibrium can be recovered and obtain the fluctuation dissipation theorema posteriori. All system-specific information can be computed from a series of feasible molecular dynamics simulations. We recover previous...
Nonequilibrium phenomena are ubiquitous in nature as well as industrial applications. However, their...
Nonequilibrium phenomena are ubiquitous in nature as well as industrial applications. However, their...
Diverse scientific disciplines ranging from materials science to catalysis to biomolecular dynamics ...
We show that the Markovian approximation assumed in current particle-based coarse-grained techniques...
peer reviewedA general formulation of stochastic thermodynamics is presented for open systems exchan...
In this thesis we derive deterministic and stochastic models that describe physical processes and th...
Active matter, responsive ("smart") materials and materials under time-dependent load are systems ou...
Coarse-graining or model reduction is a term describing a range of approaches used to extend the tim...
Coarse-grained approaches are widely considered for analyzing multiatomic systems. They are based on...
In this paper we continue our study of coarse-graining schemes for stochastic many-body microscopic ...
This dissertation is concerned with two areas of investigation: the first is understanding the mathe...
The primary objective of this work is to develop coarse-graining schemes for stochastic many-body mi...
In this paper we continue our study of coarse-graining schemes for stochastic many-body microscopic ...
In this paper we continue our study of coarse-graining schemes for stochastic many-body microscopic ...
In this article we discuss recent work on coarse-graining methods for microscopic stochastic lattice...
Nonequilibrium phenomena are ubiquitous in nature as well as industrial applications. However, their...
Nonequilibrium phenomena are ubiquitous in nature as well as industrial applications. However, their...
Diverse scientific disciplines ranging from materials science to catalysis to biomolecular dynamics ...
We show that the Markovian approximation assumed in current particle-based coarse-grained techniques...
peer reviewedA general formulation of stochastic thermodynamics is presented for open systems exchan...
In this thesis we derive deterministic and stochastic models that describe physical processes and th...
Active matter, responsive ("smart") materials and materials under time-dependent load are systems ou...
Coarse-graining or model reduction is a term describing a range of approaches used to extend the tim...
Coarse-grained approaches are widely considered for analyzing multiatomic systems. They are based on...
In this paper we continue our study of coarse-graining schemes for stochastic many-body microscopic ...
This dissertation is concerned with two areas of investigation: the first is understanding the mathe...
The primary objective of this work is to develop coarse-graining schemes for stochastic many-body mi...
In this paper we continue our study of coarse-graining schemes for stochastic many-body microscopic ...
In this paper we continue our study of coarse-graining schemes for stochastic many-body microscopic ...
In this article we discuss recent work on coarse-graining methods for microscopic stochastic lattice...
Nonequilibrium phenomena are ubiquitous in nature as well as industrial applications. However, their...
Nonequilibrium phenomena are ubiquitous in nature as well as industrial applications. However, their...
Diverse scientific disciplines ranging from materials science to catalysis to biomolecular dynamics ...