Automated odor-blending with one-pot Bayesian optimization-Reference-Cited by-同舟云学术

Automated odor-blending with one-pot Bayesian optimization

Published:2024 Issue:5 Volume:3 Page:969-976
ISSN:2635-098X
Container-title:Digital Discovery
language:en
Short-container-title:Digital Discovery

Author:

Fukui Yota¹²,Minami Kosuke³^ORCID,Shiba Kota³^ORCID,Yoshikawa Genki³⁴^ORCID,Tsuda Koji¹²^ORCID,Tamura Ryo¹²^ORCID

Affiliation:

1. Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8568, Japan

2. Center for Basic Research on Materials, National Institute for Materials Science, 1-1 Namiki, Tsukuba, Ibaraki 305-0044, Japan

3. Research Center for Macromolecules and Biomaterials, National Institute for Materials Science, 1-1 Namiki, Tsukuba, Ibaraki 305-0044, Japan

4. Materials Science and Engineering, Graduate School of Pure and Applied Science, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8571, Japan

Abstract

To enable robots to perform the creation of new odors by blending existing ones automatically, we developed an automated odor-blending system using membrane-type surface stress sensors and machine learning.

Funder

Japan Society for the Promotion of Science

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/DD/D3DD00215B

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