Machine Learning in Science – A Role for Mechanical Sympathy?

Cartwright, Hugh M.

doi:10.1039/9781839160233-00109

Skip Nav Destination

Theoretical and Computational Chemistry Series

Machine Learning in Chemistry: The Impact of Artificial Intelligence

Edited by

Hardback ISBN:

978-1-78801-789-3

PDF ISBN:

978-1-83916-023-3

EPUB ISBN:

978-1-83916-024-0

Special Collection: 2020 ebook collection

Series: Theoretical and Computational Chemistry Series

No. of Pages:

546

Publication date:

15 Jul 2020

Book Chapter

Chapter 5: Machine Learning in Science – A Role for Mechanical Sympathy?

Hugh M. Cartwright

Department of Chemistry, Oxford University

OX1 3QZ

[email protected]

https://orcid.org/0000-0003-0949-2657

Search for other works by this author on:

This Site

PubMed

Google Scholar

Doi:

https://doi.org/10.1039/9781839160233-00109

Published:

15 Jul 2020
Special Collection: 2020 ebook collection

Series: Theoretical and Computational Chemistry Series

Page range:

109 - 135

In recent years, interest in applying Artificial Intelligence to scientific problems has grown rapidly. There is a danger, however, that, in one's enthusiasm for the new methods, potential challenges might be overlooked. This chapter covers some of those challenges and considers ways in which they can be circumvented or their effects minimised so that the computational tools of Artificial Intelligence can be used to greatest effect.

You do not currently have access to this chapter, but see below options to check access via your institution or sign in to purchase.

Don't already have an account? Register

Log in

Chapter 5: Machine Learning in Science – A Role for Mechanical Sympathy?

Log in

Institutional access

My account

Digital access

This Feature Is Available To Subscribers Only