Machine Learning in Materials Science is popular PDF and ePub book, written by Keith T. Butler in 2022-06-16, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Machine Learning in Materials Science can be Read Online from any device for your convenience.
Machine Learning in Materials Science Book PDF Summary
Machine Learning for Materials Science provides the fundamentals and useful insight into where Machine Learning (ML) will have the greatest impact for the materials science researcher. This digital primer provides example methods for ML applied to experiments and simulations, including the early stages of building an ML solution for a materials science problem, concentrating on where and how to get data and some of the considerations when choosing an approach. The authors demonstrate how to build more robust models, how to make sure that your colleagues trust the results, and how to use ML to accelerate or augment simulations, by introducing methods in which ML can be applied to analyze and process experimental data. They also cover how to build integrated closed-loop experiments where ML is used to plan the course of a materials optimization experiment and how ML can be utilized in the discovery of materials on computers.
Detail Book of Machine Learning in Materials Science PDF
- Author : Keith T. Butler
- Release : 16 June 2022
- Publisher : American Chemical Society
- ISBN : 9780841299467
- Genre : Technology & Engineering
- Total Page : 176 pages
- Language : English
- PDF File Size : 7,7 Mb
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