Integrating Machine Learning and Color Chemistry: Developing a High-School Curriculum toward Real-World Problem-Solving-Reference-Cited by-同舟云学术

Integrating Machine Learning and Color Chemistry: Developing a High-School Curriculum toward Real-World Problem-Solving

Published:2023-12-07 Issue: Volume: Page:
ISSN:0021-9584
Container-title:Journal of Chemical Education
language:en
Short-container-title:J. Chem. Educ.

Author:

Jiang Shiyan¹,McClure Jeanne¹,Mao Hongjing²,Chen Jiahui²,Liu Yunshu²,Zhang Yang²^ORCID

Affiliation:

1. Department of Teacher Education and Learning Sciences, North Carolina State University, 2310 Stinson Drive, Raleigh, North Carolina 27695, United States

2. Molecular Analytics and Photonics (MAP) Lab, Program of Polymer and Color Chemistry, Department of Textile Engineering, Chemistry and Science, North Carolina State University, 1020 Main Campus Drive, Raleigh, North Carolina 27606, United States

Funder

Division of Chemistry

Division of Research on Learning in Formal and Informal Settings

National Institute of General Medical Sciences

Publisher

American Chemical Society (ACS)

Subject

Education,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jchemed.3c00589

Reference31 articles.

1. Automated Experimentation Powers Data Science in Chemistry

2. High-Throughput Automation in Chemical Process Development

3. Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems

4. ChemistGA: A Chemical Synthesizable Accessible Molecular Generation Algorithm for Real-World Drug Discovery

5. Stringer, B. Big data and the chemical industry. ICIS Explore. https://www.icis.com/explore/resources/news/2013/12/13/9735874/big-data-and-the-chemical-industry (accessed on April 10, 2023).

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