Machine-Learning Approach to Identify Organic Functional Groups from FT-IR and NMR Spectral Data
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Chemical Society
2025-03-01
|
| Series: | ACS Omega |
| Online Access: | https://doi.org/10.1021/acsomega.5c01903 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850275581674913792 |
|---|---|
| author | Gwanho Lee Hyekyoung Shim Juhyun Cho Sang-Il Choi |
| author_facet | Gwanho Lee Hyekyoung Shim Juhyun Cho Sang-Il Choi |
| author_sort | Gwanho Lee |
| collection | DOAJ |
| format | Article |
| id | doaj-art-bb78b4f7030849baa4d65de578a80b4c |
| institution | OA Journals |
| issn | 2470-1343 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | American Chemical Society |
| record_format | Article |
| series | ACS Omega |
| spelling | doaj-art-bb78b4f7030849baa4d65de578a80b4c2025-08-20T01:50:41ZengAmerican Chemical SocietyACS Omega2470-13432025-03-011012127171272310.1021/acsomega.5c01903Machine-Learning Approach to Identify Organic Functional Groups from FT-IR and NMR Spectral DataGwanho LeeHyekyoung ShimJuhyun ChoSang-Il Choihttps://doi.org/10.1021/acsomega.5c01903 |
| spellingShingle | Gwanho Lee Hyekyoung Shim Juhyun Cho Sang-Il Choi Machine-Learning Approach to Identify Organic Functional Groups from FT-IR and NMR Spectral Data ACS Omega |
| title | Machine-Learning Approach to Identify Organic Functional Groups from FT-IR and NMR Spectral Data |
| title_full | Machine-Learning Approach to Identify Organic Functional Groups from FT-IR and NMR Spectral Data |
| title_fullStr | Machine-Learning Approach to Identify Organic Functional Groups from FT-IR and NMR Spectral Data |
| title_full_unstemmed | Machine-Learning Approach to Identify Organic Functional Groups from FT-IR and NMR Spectral Data |
| title_short | Machine-Learning Approach to Identify Organic Functional Groups from FT-IR and NMR Spectral Data |
| title_sort | machine learning approach to identify organic functional groups from ft ir and nmr spectral data |
| url | https://doi.org/10.1021/acsomega.5c01903 |
| work_keys_str_mv | AT gwanholee machinelearningapproachtoidentifyorganicfunctionalgroupsfromftirandnmrspectraldata AT hyekyoungshim machinelearningapproachtoidentifyorganicfunctionalgroupsfromftirandnmrspectraldata AT juhyuncho machinelearningapproachtoidentifyorganicfunctionalgroupsfromftirandnmrspectraldata AT sangilchoi machinelearningapproachtoidentifyorganicfunctionalgroupsfromftirandnmrspectraldata |