Titlebook: Advances in Unconventional Computing; Volume 2: Prototypes Andrew Adamatzky Book 2017 Springer International Publishing Switzerland 2017 Un

evasive

Marangoni Flow Driven Maze Solving,st path is visualized first, as the Marangoni flow advecting the dye particles is the most intense along the shortest path. The longer paths, which also solve the maze, emerge subsequently as they are associated with weaker branches of the chemically-induced Marangoni flow which is key to the propos

世俗

Modeling DNA Nanodevices Using Graph Rewrite Systems,vide a graph theoretic representation of PDNs. We introduce a set of graph rewrite rules that operate on DNA graphs. Our DNA graphs and graph rewrite rules provide a powerful and expressive way to model DNA nanostructures and their reactions. These rewrite rules model most conventional reactions on

ACRID

Computational Matter: Evolving Computational Functions in Nanoscale Materials,iquid crystals) to solve computational problems. The project showed that it is possible to use materials to help find solutions to a number of well-known computational problems (e.g. TSP, Bin-packing, Logic gates, etc.).

預(yù)兆好

abysmal

Regional Vulnerability in Okinawa Prefectureutput channels, were realized using reactions biocatalyzed by enzymes and performed in flow systems. The flow devices were constructed using a modular approach, where each flow cell was modified with one enzyme that biocatalyzed one chemical reaction. Assembling the biocatalytic flow cells in differ

GLIB

intellect

Coping with Regional Vulnerability should have the ability to replicate the basic function of combinational logic circuit in BZ medium, in order to realize chemical computer. In this chapter, we design and implement different types of combinational logic circuits from two perspectives. On one hand, based on the basic chemical proces

爆米花

Being Connected to a Supply Chain,l neural networks, we show that it is possible to program unconventional paradigms with relative ease. The work presented implements correlation matrix memories (a form of artificial neural network based on associative memory) in reaction-diffusion chemistry, and shows that implementations of such a

acrobat

https://doi.org/10.1057/9781137476340This work highlights that this type of specialised chemical processor is a model example of a parallel processor. For example increasing the complexity of the input data within a given area does not increase the computation time. These processors are also able to calculate two or more Voronoi diagra

BOGUS

Taxes for Congestion Games: Preliminariesiour of non-linear media can be controlled automatically and the structural design of the media optimized through the nature-inspired machine learning approach. This chapter describes work using the Belousov–Zhabotinsky reaction as a non-linear chemical medium in which to realise computation. A chec