Designing Conducting Polymers Using Bioinspired Ant Algorithms

TL;DR

This paper introduces a bioinspired ant algorithm approach to design conducting polymers with specific properties, demonstrating a general methodology applicable to various materials science optimization problems.

Contribution

It presents a novel application of ant algorithms coupled with tight-binding Hamiltonians for designing conducting polymers with targeted features.

Findings

Successful design of conducting polymers with desired properties

Demonstration of the algorithm's versatility for materials optimization

Potential for broad application in materials science problems

Abstract

Ant algorithms are inspired in real ants and the main idea is to create virtual ants that travel into the space of possible solution depositing virtual pheromone proportional to how good a specific solution is. This creates a autocatalytic (positive feedback) process that can be used to generate automatic solutions to very difficult problems. In the present work we show that these algorithms can be used coupled to tight-binding hamiltonians to design conducting polymers with pre-specified properties. The methodology is completely general and can be used for a large number of optimization problems in materials science.