Machine Learning in Materials Science

As the fields of artificial intelligence and machine learning are exploding, their universal nature is becoming more apparent. Machine learning is being leveraged in a huge variety of sub-fields, and Materials Science and Polymer Science are no exceptions. This article will serve as the first iteration of a series where I’ll briefly discuss research papers related to Machine Learning and Materials Science, in which the goal is simply to explore the different ways that machine learning is being utilized in the field. In this iteration, we will focus on polymers. Since Polymer Science is a pretty niche field, I assume you are already familiar with the basics if you are reading this. However, if you are like me, and are just curious by nature, we will preface the paper review with some basics. I must give a disclaimer on my background: although I have worked in a lab where I routinely performed polymer characterization testing, I am in no way an expert — just familiar with the space and some of the lab techniques used. Please keep this in mind as I attempt to touch on the science side of things. :) <a href="https://towardsdatascience.com/machine-learning-in-materials-science-8c6c0db5ce7a">Website</a>