CCPE: A Tool to Quickly Extract, Format, and Present the Outputs From Gaussian and VEDA Computational Chemistry Programs

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Mehmet Bozuyla, Alpaslan Bayrakdar, Yusuf Sert, Hasan Huseyin Kart, Sevgi Ozdemir Kart, Prasath Manivannan, Mehmet Hakkı Alma
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引用次数: 0

Abstract

The analysis and interpretation of theoretical results remain significant challenges for researchers in computational chemistry, particularly when working with molecules containing a large number of atoms. The manual selection, organization, and interpretation of desired parameters from output files generated by computational tools can be error-prone, tedious, and time-intensive, often taking days to complete. This study introduces the Computational Chemistry Parameter (CCPE), providing extraction, formatting, and presentation of the computational data obtained from Gaussian and VEDA programs. By integrating outputs from the widely used GAUSSIAN and VEDA programs, CCPE provides an efficient, user-friendly solution for extracting and organizing key data such as vibrational modes, frequency assignments, optimization parameters, and molecular orbital data. This tool significantly reduces the time required for these tasks from several days to a matter of minutes, while minimizing the likelihood of errors. The CCPE software, developed using the C# programming language, emphasizes reliability and adaptability, offering researchers a practical means of handling complex computational data. Through its ability to generate publication-ready outputs in widely accepted formats, CCPE aims to enhance productivity and data accuracy, presenting a transformative step in the field of computational chemistry.

Abstract Image

理论结果的分析和解释仍然是计算化学研究人员面临的重大挑战,尤其是在处理含有大量原子的分子时。从计算工具生成的输出文件中手动选择、组织和解释所需的参数,可能会出错、繁琐且耗时,往往需要数天才能完成。本研究引入了计算化学参数(CCPE),对从高斯和 VEDA 程序中获得的计算数据进行提取、格式化和展示。通过整合广泛使用的 GAUSSIAN 和 VEDA 程序的输出结果,CCPE 为提取和整理振动模式、频率赋值、优化参数和分子轨道数据等关键数据提供了高效、用户友好的解决方案。该工具大大减少了这些任务所需的时间,从几天缩短到几分钟,同时最大限度地降低了出错的可能性。CCPE 软件使用 C# 编程语言开发,强调可靠性和适应性,为研究人员提供了处理复杂计算数据的实用方法。CCPE 能够以广泛接受的格式生成可供发表的输出结果,旨在提高工作效率和数据准确性,在计算化学领域迈出了变革性的一步。
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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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