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Abstract: We describe how a graph grammar program for robotic self-assembly, together with measurements of kinetic rate data yield a Markov process model of ...
This paper is about modeling a class of robotic systems that can be programmed to self-assemble into specific structures. We believe this work to be in the same ...
(PDF) The statistical dynamics of programmed self-assembly
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We describe how a graph grammar program for robotic self-assembly, together with measurements of kinetic rate data yield a Markov process model of the ...
Inproceedings,. The Statistical Dynamics of Programmed Self-assembly. N. Napp, S. Burden, and E. Klavins. ICRA, page 1469-1476. IEEE, (2006 ). 1. 1. Meta data.
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May 8, 2020 · Programmable self-assembly provides valuable insights into fundamental physics and enables the design of functional materials.
Using recent advances in automatic differentiation, we show how kinetic pathways can be precisely designed by directly differentiating through statistical ...
The statistical dynamics of programmed self-assembly. N Napp, S Burden, E Klavins. Proceedings 2006 IEEE International Conference on Robotics and Automation ...
Oct 21, 2014 · In this review, we use statistical mechanics to describe some of the pathways by which these kinds of structure are formed. Figure 1 displays ...
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May 26, 2020 · We show statistical reprogramming of two-dimensional (2D), noncompact self-assembled structures by the dynamic confinement of orbitally shaken and magnetically ...
In particular, it investigates the structure and dynamics of active (i.e. actively consuming energy from the environment) self-assembled materials, ...