Call for Authors: Mathematics for Machine Learning in Chemistry - ACS Axial | ACS Publications
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Call for Authors: Mathematics for Machine Learning in Chemistry

ACS In Focus is a new series of brief, dynamic e-books designed to bring new graduate students up to speed on topics they need to know in their research. As well, these works are designed to introduce topics to scientists interested in bringing additional and often multidisciplinary perspectives into their research questions.

The series is off to a great start and covers a broad range of topics. The first title, Machine Learning in Chemistry, by Heather Kulik and Jon Paul Janet, had over 25,000 visitors to the product page in June 2020. In response, students have shared that they’d like an overview in this series on mathematics for machine learning.

The ACS In Focus editors are seeking an author or author team to write approximately 35,000 words on the foundations of “Mathematics for Machine Learning in Chemistry.” With this work, you will have the opportunity to reach an even wider audience of scientists and introduce them to this flourishing area of research. Many of our authors select co-authors from their research team, including grad students, post-docs, or former students and colleagues.

If you are interested in authoring, please contact infocus@acs.org.

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