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

Ariadni Boziki, Frédéric Ngono Mebenga, Philippe Fernandes, Alexandre Tkatchenko
{"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":null,"pages":null},"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}
引用次数: 0

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. 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.
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
振动光谱是一种不可或缺的分析工具,可为分子、固体及其界面提供结构指纹。本研究介绍了 THeSeuSS(太赫兹光谱模拟软件)--一种自动计算平台,可高效模拟周期和非周期性系统的红外光谱和拉曼光谱。THeSeuSS 利用 DFT 和 DFTB,为详细的振动光谱模拟提供了强大的功能。我们广泛的评估和基准测试表明,THeSeuSS 能准确再现以前计算和实验的光谱,从而能对各种测试案例的振动特征进行精确的比较和解释,包括气相中的 H2O 和甘氨酸分子,以及固态氨和固态布洛芬。THeSeuSS 具有友好的用户界面,可与现有的计算化学工具无缝集成,提高了高级光谱模拟的可访问性和适用性,为化学、制药和材料科学领域的研究与开发提供了支持。THeSeuSS 未来的更新目标是通过融入机器学习技术来分析更大、更复杂的系统,从而扩大其方法的多样性,巩固 THeSeuSS 作为计算化学专家武器库中重要工具的地位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信