Vib2Mol: from vibrational spectra to molecular structures-a unified deep learning framework.

Lu XY, Ma H, Li H, Li J, Rong Y, Li YQ, Zhu T, Liu GK, Ren B

DOI: 10.1039/d6sc04559f
Published: 2026 Sep 3
Container: Chemical science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1039/d6sc04559f,
  title = {Vib2Mol: from vibrational spectra to molecular structures-a unified deep learning framework.},
  author = {Lu XY and Ma H and Li H and Li J and Rong Y and Li YQ and Zhu T and Liu GK and Ren B},
  year = {2026},
  journal = {Chemical science},
  doi = {10.1039/d6sc04559f},
  url = {https://doi.org/10.1039/d6sc04559f}
}

RIS

TY  - JOUR
TI  - Vib2Mol: from vibrational spectra to molecular structures-a unified deep learning framework.
AU  - Lu XY
AU  - Ma H
AU  - Li H
AU  - Li J
AU  - Rong Y
AU  - Li YQ
AU  - Zhu T
AU  - Liu GK
AU  - Ren B
PY  - 2026
JO  - Chemical science
DO  - 10.1039/d6sc04559f
UR  - https://doi.org/10.1039/d6sc04559f
ER  -

APA

XY, L., H, M., H, L., J, L., Y, R., YQ, L., T, Z., GK, L., & B, R. (2026). Vib2Mol: from vibrational spectra to molecular structures-a unified deep learning framework.. Chemical science. https://doi.org/10.1039/d6sc04559f

Source records

pubmed · retrieved 2026-09-24T19:45:52.167Z