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Equation-free optimal switching policies for bistable reacting systems using coarse time-steppers

TLDR
In this paper, a computer-assisted approach to locate approximate coarse optimal switching policies between stationary states of chemically reacting systems described by microscopic/stochastic evolution rules is presented, which constitutes a bridge between the underlying kinetic Monte Carlo simulation and traditional, continuum numerical optimization techniques formulated in discrete time.
Abstract
We present a computer-assisted approach to locating approximate coarse optimal switching policies between stationary states of chemically reacting systems described by microscopic/stochastic evolution rules. The ``coarse time-stepper" constitutes a bridge between the underlying kinetic Monte Carlo simulation and traditional, continuum numerical optimization techniques formulated in discrete time. The approach is illustrated through two simple catalytic surface reaction models, implemented through kinetic Monte Carlo: NO reduction on Pt, and CO oxidation on Pt. The objective sought in both cases is to switch between two coexisting stable stationary states by minimal manipulation of a macroscopic system parameter.

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Citations
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Journal ArticleDOI

Condition Estimates for Pseudo-Arclength Continuation

TL;DR: The condition number of the Jacobian is bound in pseudo-arclength continuation problems, and the effect of this condition number on the linear system solution in a Newton-GMRES solve is quantified.
Journal ArticleDOI

Equation-free, coarse-grained computational optimization using timesteppers

TL;DR: The equation-free approach to perform system level optimization by acting directly on microscopic/stochastic models is employed and the combination of “coarse timesteppers” with standard (both local and global) optimization techniques is illustrated.
Journal ArticleDOI

A systems-based approach to multiscale computation : Equation-free detection of coarse-grained bifurcations

TL;DR: Two distinct approaches for adaptive detection of instabilities in laboratory experiments are presented and a comparison of the two approaches brings forth a key feature of equation-free computation: computational experiments can be easily initialized at will, in contrast to laboratory ones.
DissertationDOI

Multiscale geometric integration of deterministic and stochastic systems

Molei Tao
TL;DR: In this paper, the authors developed multiscale geometric integrators to accelerate computations and improve long time accuracy of numerical simulations, in order to accelerate the computations of numerical simulation.
Book ChapterDOI

An Efficient Optimization Approach for Computationally Expensive Timesteppers Using Tabulation

TL;DR: A methodology is outlined for the efficient solution of dynamic optimization problems when the system evolution is described by computationally expensive timestepper-based models by extending the notion of in situ adaptive tabulation to stochastic systems.
References
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Journal ArticleDOI

Efficient Global Optimization of Expensive Black-Box Functions

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Journal ArticleDOI

A General Method for Numerically Simulating the Stochastic Time Evolution of Coupled Chemical Reactions

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Journal ArticleDOI

A revolution in optical manipulation

TL;DR: This research presents the next generation of single-beam optical traps, which promise to take optical tweezers out of the laboratory and into the mainstream of manufacturing and diagnostics and even become consumer products.
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