Skip to content
DraconiticResearch
Search Sources API
197,693 studies31 sourcesUpdated 26 min ago
PreprintCC BYChemRxiv

Inverse theoretical spectroscopy via Monte Carlo sampling: From spectra to ensembles of molecular conformations

  1. 1Institute of Physical and Theoretical Chemistry, Technische Universität Braunschweig, Gaußstr. 17, Braunschweig, Germany, 38106

Abstract

A molecule’s structure determines its spectroscopic properties, and vice versa, molecular spectra are indispensable for elucidating its three-dimensional structure. Here, we present a Monte Carlo sampling scheme for generating an ensemble of molecular structures that is compatible with an ensemble of spectra around a given reference spectrum. By analyzing this spectrally-constrained ensemble, we can determine which structural changes are compatible with the given reference spectrum. By constraining the spectrum only in selected windows, a more fine-grained analysis of selected spectral features becomes possible. We explore our spectral Monte Carlo sampling method for the dye molecule DFHBI, considering its electronic excitation spectrum. We find that the conformational space of molecular structures with similar spectra is vast, and we identify high-energy distorted structures whose spectra closely match that of the ground-state structure. Our method provides a novel, ensemble-based perspective on the inverse mapping from spectra to molecular structures.

Related

  1. Momentum-resolved magnetic noise spectroscopy using ensembles of diamond quantum sensors
    Zeeshawn Kazi, Kai-Hung Cheng, Jared Rovny +1
    arXivPreprintarXiv licenceFull textCondensed matterQuantum physics & quantum informationarXiv
  2. Influence of pump-probe beam offset and modulation frequency on photothermal deflection spectroscopy signals in liquid sensing: A combined theoretical and experimental study
    Sebin Binu, Gabriel Oliveira, Dominik Kau-Wacht +3
    Optics ExpressPeer-reviewedLicence not statedOptics & photonicsCrossref
  3. Bayesian Sampling of Structural Ensembles: The Role of Ensemble-Counting Measures
    Ivan Gilardoni, Giovanni Bussi
    arXivPreprintarXiv licenceFull textBiophysicsPhysical chemistryarXiv
  4. Accurate noise spectroscopy using quantum sensing ensembles
    Dhilan T Vallury, Nikolai Dontschuk, Alexander M Jakob +2
    arXivPreprintarXiv licenceFull textCondensed matterQuantum physics & quantum informationarXiv
  5. From Single Spins to Ensembles: A Calibrated Symbolic Regression Pipeline for NV Spectroscopy
    Evan Zhang, Zhenghang Zhi, Zewei Wang +1
    arXivPreprintCC BY 4.0Full textQuantum physics & quantum informationarXiv
BibTeX
@misc{tsvetaev2026inverse,
  title = {{Inverse theoretical spectroscopy via Monte Carlo sampling: From spectra to ensembles of molecular conformations}},
  author = {Erik Tsvetaev and Christoph R. Jacob},
  howpublished = {ChemRxiv},
  year = {2026},
  month = oct,
  doi = {10.26434/chemrxiv.15005578/v3},
  url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15005578/v3},
  note = {CC BY},
}
RIS
TY  - UNPB
TI  - Inverse theoretical spectroscopy via Monte Carlo sampling: From spectra to ensembles of molecular conformations
AU  - Erik Tsvetaev
AU  - Christoph R. Jacob
PY  - 2026
DA  - 2026/10/22
PB  - ChemRxiv
DO  - 10.26434/chemrxiv.15005578/v3
UR  - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15005578/v3
AB  - A molecule’s structure determines its spectroscopic properties, and vice versa, molecular spectra are indispensable for elucidating its three-dimensional structure. Here, we present a Monte Carlo sampling scheme for generating an ensemble of molecular structures that is compatible with an ensemble of spectra around a given reference spectrum. By analyzing this spectrally-constrained ensemble, we can determine which structural changes are compatible with the given reference spectrum. By constraining the spectrum only in selected windows, a more fine-grained analysis of selected spectral features becomes possible. We explore our spectral Monte Carlo sampling method for the dye molecule DFHBI, considering its electronic excitation spectrum. We find that the conformational space of molecular structures with similar spectra is vast, and we identify high-energy distorted structures whose spectra closely match that of the ground-state structure. Our method provides a novel, ensemble-based perspective on the inverse mapping from spectra to molecular structures.
ER  -