Transferability of Machine Learning Models for Predicting Raman Spectra-Reference-Cited by-同舟云学术

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Transferability of Machine Learning Models for Predicting Raman Spectra

Published:2024-03-13 Issue:12 Volume:128 Page:2286-2294
ISSN:1089-5639
Container-title:The Journal of Physical Chemistry A
language:en
Short-container-title:J. Phys. Chem. A

Author:

Fang Mandi¹²^ORCID,Tang Shi²,Fan Zheyong³^ORCID,Shi Yao¹,Xu Nan¹²^ORCID,He Yi¹²⁴^ORCID

Affiliation:

1. College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, China

2. Institute of Zhejiang University-Quzhou, Quzhou 324000, China

3. College of Physical Science and Technology, Bohai University, Jinzhou 121013, China

4. Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States

Funder

National Key Research and Development Program of China Stem Cell and Translational Research

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpca.3c07109

Reference55 articles.

1. Infrared and Raman Spectroscopy

2. Raman spectroscopy: Recent advancements, techniques and applications

3. Real-time Raman spectroscopic measurement of crystallization kinetics and its effect on the morphology and properties of polyolefin blown films

4. Computing vibrational spectra from ab initio molecular dynamics

5. High-throughput computational screening for solid-state Li-ion conductors

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