Add to ORKGFrom mesoscale back to microscale: Reconstruction schemes for coarse-grained stochastic lattice systems b
Recently a new class of approximating coarse-grained stochastic processes and associated Monte Carlo...
Plechac, PetrThis dissertation is focused on numerical schemes of coarse-graining (CG) for stochasti...
The coarse-grained Monte Carlo (CGMC) algorithm was originally proposed in the series of works [M. A...
Starting from a microscopic stochastic lattice spin system and the corresponding coarse-grained mode...
Starting from a microscopic stochastic lattice spin system and the corresponding coarse-grained mode...
In this article we discuss recent work on coarse-graining methods for microscopic stochastic lattice...
Diverse scientific disciplines ranging from materials science to catalysis to biomolecular dynamics ...
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 ...
The primary objective of this work is to develop coarse-graining schemes for stochastic many-body mi...
We develop coarse-graining schemes for stochastic many-particle microscopic models with competing sh...
We develop coarse-graining schemes for stochastic many-particle microscopic models with competing sh...
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 ...
Recently a new class of approximating coarse-grained stochastic processes and associated Monte Carlo...
Recently a new class of approximating coarse-grained stochastic processes and associated Monte Carlo...
Plechac, PetrThis dissertation is focused on numerical schemes of coarse-graining (CG) for stochasti...
The coarse-grained Monte Carlo (CGMC) algorithm was originally proposed in the series of works [M. A...
Starting from a microscopic stochastic lattice spin system and the corresponding coarse-grained mode...
Starting from a microscopic stochastic lattice spin system and the corresponding coarse-grained mode...
In this article we discuss recent work on coarse-graining methods for microscopic stochastic lattice...
Diverse scientific disciplines ranging from materials science to catalysis to biomolecular dynamics ...
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 ...
The primary objective of this work is to develop coarse-graining schemes for stochastic many-body mi...
We develop coarse-graining schemes for stochastic many-particle microscopic models with competing sh...
We develop coarse-graining schemes for stochastic many-particle microscopic models with competing sh...
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 ...
Recently a new class of approximating coarse-grained stochastic processes and associated Monte Carlo...
Recently a new class of approximating coarse-grained stochastic processes and associated Monte Carlo...
Plechac, PetrThis dissertation is focused on numerical schemes of coarse-graining (CG) for stochasti...
The coarse-grained Monte Carlo (CGMC) algorithm was originally proposed in the series of works [M. A...