A Journey With <scp>THeSeuSS</scp>: Automated Python Tool for Modeling <scp>IR</scp> and Raman Vibrational Spectra of Molecules and Solids

ABSTRACT Vibrational spectroscopy is an indispensable analytical tool that provides structural fingerprints for molecules, solids, and interfaces thereof. This study introduces THeSeuSS (THz Spectra Simulations Software)—an automated computational platform that efficiently simulates IR and Raman spectra for both periodic and non‐periodic systems. Using DFT, DFTB and machine‐learning force field, THeSeuSS offers robust capabilities for detailed vibrational spectra simulations. Our extensive evaluations and benchmarks demonstrate that THeSeuSS accurately reproduces both previously calculated and experimental spectra, enabling precise comparisons and interpretations of vibrational characteristics in various test cases, including H 2 O and glycine molecules in the gas phase, as well as solid ammonia and solid ibuprofen. Designed with a user‐friendly interface and seamless integration with existing computational chemistry tools, THeSeuSS enhances the accessibility and applicability of advanced spectroscopic simulations, supporting research and development in chemical, pharmaceutical, and material sciences.

Authors

Institutions

Publication Details

Journal
Wiley Interdisciplinary Reviews Computational Molecular Science
Published
2025-05-01
DOI
https://doi.org/10.1002/wcms.70033
Citations
2
Primary Topic
Advanced Chemical Physics Studies
Type
article
Field-Weighted Citation Impact
2.49

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Journey With THeSeuSS: Automated Python Tool for Modeling IR and Raman Vibrational Spectra of Molecules and Solids

Philippe Fernandes, Ariadni Boziki, Alexandre Tkatchenko, Frédéric Ngono Mebenga
2 citations
Wiley Interdisciplinary Reviews Computational Molecular Science
Advanced Chemical Physics Studies
2.49
article

A Journey With THeSeuSS: Automated Python Tool for Modeling IR and Raman Vibrational Spectra of Molecules and Solids

Philippe Fernandes, Ariadni Boziki, Alexandre Tkatchenko, Frédéric Ngono Mebenga
article en
2 citations

Abstract

ABSTRACT Vibrational spectroscopy is an indispensable analytical tool that provides structural fingerprints for molecules, solids, and interfaces thereof. This study introduces THeSeuSS (THz Spectra Simulations Software)—an automated computational platform that efficiently simulates IR and Raman spectra for both periodic and non‐periodic systems. Using DFT, DFTB and machine‐learning force field, THeSeuSS offers robust capabilities for detailed vibrational spectra simulations. Our extensive evaluations and benchmarks demonstrate that THeSeuSS accurately reproduces both previously calculated and experimental spectra, enabling precise comparisons and interpretations of vibrational characteristics in various test cases, including H 2 O and glycine molecules in the gas phase, as well as solid ammonia and solid ibuprofen. Designed with a user‐friendly interface and seamless integration with existing computational chemistry tools, THeSeuSS enhances the accessibility and applicability of advanced spectroscopic simulations, supporting research and development in chemical, pharmaceutical, and material sciences.

Wiley Interdisciplinary Reviews Computational Molecular ScienceVol. 15(3)
Janssen (Belgium) (BE), University of Luxembourg (LU)
Université du Luxembourg, Fonds National de la Recherche Luxembourg, European Research Council, Janssen Pharmaceuticals
Openalex Percentile: Top 11%
Advanced Chemical Physics Studies
2.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.