AbstractA local interaction simulation approach, based on parallel processing, allows us to treat complex diffusion problems in very large lattices or complex media. In order to study the time evolution, e.g., of microscopic systems, we present here a time scaling method, which can reduce the number of time steps (and therefore the computer time) of several orders of magnitude, up to a manageable number (e.g., 104 or 105). Several examples under different assumptions demonstrate the applicability and reliability of the proposed method
Coupling is a widely used technique in the theoretical study of interacting stochastic processes. In...
We present a mathematical framework for constructing and analyzing parallel algorithms for lattice k...
A novel parallel kinetic Monte Carlo (kMC) algorithm formulated on the basis of perfect time synchro...
A local interaction simulation approach, based on parallel processing, allows us to treat complex di...
AbstractA local interaction simulation approach, based on parallel processing, allows us to treat co...
A space scaling procedure is proposed for the treatment of diffusion problems in large lattices. In ...
AbstractA parallel-in-time, multiscale interaction procedure is introduced for systems described at ...
The purpose of this project is to develop an algorithm that speeds up large scale simulations of ma...
Many of the most important and hardest-to-solve problems related to the synthesis, performance, and ...
Coupled systems of reaction-diffusion equations are usually solved using a unified time step determi...
Molecular Dynamics (MD) is an important atomistic simulation technique, with widespread use in compu...
Efficient and faithful parallel simulation of large asynchronous systems is a challeng-ing computati...
The two main approaches to parallel discrete event simulation – conservative and optimistic- are lik...
We simulate model for evolution of local virtual time profile in con- servative parallel discrete ev...
There is an increasing awareness of the pivotal role of noise in biochemical processes and of the ef...
Coupling is a widely used technique in the theoretical study of interacting stochastic processes. In...
We present a mathematical framework for constructing and analyzing parallel algorithms for lattice k...
A novel parallel kinetic Monte Carlo (kMC) algorithm formulated on the basis of perfect time synchro...
A local interaction simulation approach, based on parallel processing, allows us to treat complex di...
AbstractA local interaction simulation approach, based on parallel processing, allows us to treat co...
A space scaling procedure is proposed for the treatment of diffusion problems in large lattices. In ...
AbstractA parallel-in-time, multiscale interaction procedure is introduced for systems described at ...
The purpose of this project is to develop an algorithm that speeds up large scale simulations of ma...
Many of the most important and hardest-to-solve problems related to the synthesis, performance, and ...
Coupled systems of reaction-diffusion equations are usually solved using a unified time step determi...
Molecular Dynamics (MD) is an important atomistic simulation technique, with widespread use in compu...
Efficient and faithful parallel simulation of large asynchronous systems is a challeng-ing computati...
The two main approaches to parallel discrete event simulation – conservative and optimistic- are lik...
We simulate model for evolution of local virtual time profile in con- servative parallel discrete ev...
There is an increasing awareness of the pivotal role of noise in biochemical processes and of the ef...
Coupling is a widely used technique in the theoretical study of interacting stochastic processes. In...
We present a mathematical framework for constructing and analyzing parallel algorithms for lattice k...
A novel parallel kinetic Monte Carlo (kMC) algorithm formulated on the basis of perfect time synchro...