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Attractor Landscapes and Information Processing by Convective Obstacle Flows

Bartlett, Stuart and Yung, Yuk L. (2019) Attractor Landscapes and Information Processing by Convective Obstacle Flows. In: ALIFE 2019: the 2019 Conference on Artificial Life. MIT Press , Cambridge, MA, pp. 245-246. ISBN 9780262358446.

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We present recent results concerning the attractor landscape, memory, hysteresis and computation that can emerge in simple convective obstacle flows. In these systems a single phase fluid is heated from below and cooled from above. Small obstacles (one or two) are placed on the horizontal mid plane of the system and extract some fraction of the fluid’s horizontal or vertical momentum. Horizontal momentum sinks tend to attract convection plumes. Vertical momentum sinks are bistable; the obstacle will either align with a convection cell centre or convection plume depending on initial conditions and the history of the system. The resulting attractor landscape can be exploited to produce a single bit memory or even elementary Boolean logic.

Item Type:Book Section
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URLURL TypeDescription
Bartlett, Stuart0000-0001-5680-476X
Yung, Yuk L.0000-0002-4263-2562
Additional Information:© 2019 Massachusetts Institute of Technology Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. Posted Online July 15, 2019.
Group:Astronomy Department
Record Number:CaltechAUTHORS:20200103-110201113
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Official Citation:Attractor Landscapes and Information Processing by Convective Obstacle Flows. Stuart Bartlett and Yuk L Yung. Artificial Life Conference Proceedings 2019 NO. 31, 245-246; doi: 10.1162/isal_a_00169
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:100500
Deposited By: Tony Diaz
Deposited On:05 Jan 2020 00:14
Last Modified:16 Nov 2021 17:54

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