Machine Learning Identification of Organic Compounds Using Visible Light-Reference-Cited by-同舟云学术

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Machine Learning Identification of Organic Compounds Using Visible Light

Published:2023-03-06 Issue:10 Volume:127 Page:2407-2414
ISSN:1089-5639
Container-title:The Journal of Physical Chemistry A
language:en
Short-container-title:J. Phys. Chem. A

Author:

Bikku Thulasi¹²,Fritz Rubén A.¹,Colón Yamil J.³^ORCID,Herrera Felipe¹⁴^ORCID

Affiliation:

1. Department of Physics, Universidad de Santiago de Chile, Av. Victor Jara 3493, Santiago, Chile

2. Computer Science and Engineering, Vignan’s Nirula Institute of Technology and Science for Women, Guntur, Andhra Pradesh 522009, India

3. Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States

4. Millennium Institute for Research in Optics, Esteban Iturra s/n 4070386, Concepción , Chile

Funder

Universidad de Santiago de Chile

Fondo Nacional de Desarrollo Cient??fico y Tecnol??gico

ANID - Millennium Institute for Research in Optics

Publisher

American Chemical Society (ACS)

Subject

Physical and Theoretical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpca.2c07955

Reference61 articles.

1. Machine learning for neutron reflectometry data analysis of two-layer thin films *

2. Ratner, D.; Sumpter, B.; Alexander, F.; Billings, J. J.; Coffee, R.; Cousineau, S.; Denes, P.; Doucet, M.; Foster, I.; Hexemer, A. Office of Basic Energy Sciences (BES) Roundtable on Producing and Managing Large Scientific Data with Artificial Intelligence and Machine Learning, 2019. https://www.osti.gov/biblio/1630823/ (accessed November 15, 2022).

3. Machine learning and computation-enabled intelligent sensor design

4. Fiber-Optic Chemical Sensors and Biosensors (2015–2019)

5. Optical Chemical Sensors

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning Identification of Organic Compounds Using Visible Light;The Journal of Physical Chemistry A;2023-03-06

2. Identification of organic compounds using artificial neural networks and refractive index;Journal of the Serbian Chemical Society;2023

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