Trusting our machines: validating machine learning models for single-molecule transport experiments-Reference-Cited by-同舟云学术

Trusting our machines: validating machine learning models for single-molecule transport experiments

Published:2022 Issue:16 Volume:51 Page:6875-6892
ISSN:0306-0012
Container-title:Chemical Society Reviews
language:en
Short-container-title:Chem. Soc. Rev.

Author:

Bro-Jørgensen William¹^ORCID,Hamill Joseph M.¹^ORCID,Bro Rasmus²,Solomon Gemma C.¹^ORCID

Affiliation:

1. Department of Chemistry and Nano-Science Center, University of Copenhagen, Universitetsparken 5, DK-2100, Copenhagen Ø, Denmark

2. Department of Food Science, University of Copenhagen, Rolighedsvej 26, 1958 Frederiksberg, Denmark

Abstract

In this tutorial review, we will describe crucial aspects related to the application of machine learning to help users avoid the most common pitfalls.

Funder

H2020 European Research Council

H2020 Marie Skłodowska-Curie Actions

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/CS/D1CS00884F

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