Ariadni Boziki, Frédéric Ngono Mebenga, Philippe Fernandes, Alexandre Tkatchenko
{"title":"THeSeuSS 之旅:模拟分子和固体红外和拉曼振动光谱的 Python 自动工具","authors":"Ariadni Boziki, Frédéric Ngono Mebenga, Philippe Fernandes, Alexandre Tkatchenko","doi":"arxiv-2409.06597","DOIUrl":null,"url":null,"abstract":"Vibrational spectroscopy is an indispensable analytical tool that provides\nstructural fingerprints for molecules, solids, and interfaces thereof. This\nstudy introduces THeSeuSS (THz Spectra Simulations Software) - an automated\ncomputational platform that efficiently simulates IR and Raman spectra for both\nperiodic and non-periodic systems. Utilizing DFT and DFTB, THeSeuSS offers\nrobust capabilities for detailed vibrational spectra simulations. Our extensive\nevaluations and benchmarks demonstrate that THeSeuSS accurately reproduces both\npreviously calculated and experimental spectra, enabling precise comparisons\nand interpretations of vibrational features across various test cases,\nincluding H2O and glycine molecules in the gas phase, as well as solid ammonia\nand solid ibuprofen. Designed with a user-friendly interface and seamless\nintegration with existing computational chemistry tools, THeSeuSS enhances the\naccessibility and applicability of advanced spectroscopic simulations,\nsupporting research and development in chemical, pharmaceutical, and material\nsciences. Future updates aim to expand its methodological diversity by\nincorporating machine learning techniques to analyze larger and more complex\nsystems, solidifying THeSeuSS's role as an essential tool in the computational\nchemist's arsenal.","PeriodicalId":501369,"journal":{"name":"arXiv - PHYS - Computational Physics","volume":"47 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Journey with THeSeuSS: Automated Python Tool for Modeling IR and Raman Vibrational Spectra of Molecules and Solids\",\"authors\":\"Ariadni Boziki, Frédéric Ngono Mebenga, Philippe Fernandes, Alexandre Tkatchenko\",\"doi\":\"arxiv-2409.06597\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Vibrational spectroscopy is an indispensable analytical tool that provides\\nstructural fingerprints for molecules, solids, and interfaces thereof. This\\nstudy introduces THeSeuSS (THz Spectra Simulations Software) - an automated\\ncomputational platform that efficiently simulates IR and Raman spectra for both\\nperiodic and non-periodic systems. Utilizing DFT and DFTB, THeSeuSS offers\\nrobust capabilities for detailed vibrational spectra simulations. Our extensive\\nevaluations and benchmarks demonstrate that THeSeuSS accurately reproduces both\\npreviously calculated and experimental spectra, enabling precise comparisons\\nand interpretations of vibrational features across various test cases,\\nincluding H2O and glycine molecules in the gas phase, as well as solid ammonia\\nand solid ibuprofen. Designed with a user-friendly interface and seamless\\nintegration with existing computational chemistry tools, THeSeuSS enhances the\\naccessibility and applicability of advanced spectroscopic simulations,\\nsupporting research and development in chemical, pharmaceutical, and material\\nsciences. Future updates aim to expand its methodological diversity by\\nincorporating machine learning techniques to analyze larger and more complex\\nsystems, solidifying THeSeuSS's role as an essential tool in the computational\\nchemist's arsenal.\",\"PeriodicalId\":501369,\"journal\":{\"name\":\"arXiv - PHYS - Computational Physics\",\"volume\":\"47 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Computational Physics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.06597\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Computational Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.06597","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Journey with THeSeuSS: Automated Python Tool for Modeling IR and Raman Vibrational Spectra of Molecules and Solids
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. Utilizing DFT and DFTB, 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 features across various test cases,
including H2O 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. Future updates aim to expand its methodological diversity by
incorporating machine learning techniques to analyze larger and more complex
systems, solidifying THeSeuSS's role as an essential tool in the computational
chemist's arsenal.