Machine learning identified molecular fragments responsible for infrared emission features of polycyclic aromatic hydrocarbons

Research article (Monthly Notices of the Royal Astronomical Society Letters, 2023) · cited 10× · AI/ML
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Machine learning identified molecular fragments responsible for infrared emission features of polycyclic aromatic hydrocarbons

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Machine learning identified molecular fragments responsible for infrared emission features of polycyclic aromatic hydrocarbons is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning identified molecular fragments responsible for infrared emission features of polycyclic aromatic hydrocarbons. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-identified-molecular-fragments-responsible-for-infrared-emission-features-of-polycyclic-aromatic-hydroc
MLA “Machine learning identified molecular fragments responsible for infrared emission features of polycyclic aromatic hydrocarbons.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-identified-molecular-fragments-responsible-for-infrared-emission-features-of-polycyclic-aromatic-hydroc.
BibTeX @misc{4ortxyz_machine-learning-identified-molecular-fragments-responsible-for-infrared-emission-features-of-polycyclic-aromatic-hydroc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning identified molecular fragments responsible for infrared emission features of polycyclic aromatic hydrocarbons}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-identified-molecular-fragments-responsible-for-infrared-emission-features-of-polycyclic-aromatic-hydroc}, note = {Accessed: 2026-05-24}}
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