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arXiv · 1809.10819

Novel Multi Agent Models for Chemical Self-assembly

Zheng Ning·Ge Chen·Francesco Bullo
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Abstract

The chemical self-assembly has been considered as one of most important scientific problems in the 21th Century; however, since the process of self-assembly is very complex, there is few mathematic theory for it currently. This paper provides a novel multi-agent model for chemical self-assembly, where the interaction between agents adopts the classic Lennard-Jones potential. Under this model, we propose an optimal problem by taking the temperature as the control input, and choosing the internal energy as the optimal object. A numerical solution for our optimal problem is also developed. Simulations show that our control scheme can improve the product of self-assembly. Further more, we give a strict analysis for the self-assembly model without noise, which corresponds to an attraction-repulsion multi-agent system, and prove it converges to a stable configuration eventually.

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Zheng Ning, Ge Chen, Francesco Bullo. 2018-09-28. Novel Multi Agent Models for Chemical Self-assembly. https://arxiv.org/abs/1809.10819

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