{"title":"Comparison of quantum chemical approach and mixed approach using AI in study of reactions involving silanediamides","authors":"P.A. Martynenko","doi":"10.1016/j.comptc.2025.115348","DOIUrl":null,"url":null,"abstract":"<div><div>Silanediamines and their derivatives are of significant interest due to their potential applications in materials science and as versatile ligands in coordination chemistry.</div><div>This study focuses on the problems of synthesis of silanediamines and their derivatives, exploring their reactivity through a quantum chemical approach and mixed QC and AI (artificial intelligence) approach using a software package MLAtom that is in the public domain. Silanediamines can be deprotonated to form highly reactive mono- and di-anionic species, serving as precursors for various oligomeric and cyclic structures. The experimental challenges associated with silanediamine chemistry, including side reactions, decomposition, and oligomerization, necessitate a deeper understanding of reaction mechanisms at the molecular level. Therefore, we employ quantum chemical simulations to investigate the thermodynamic profiles of reactions involved in the synthesis of silanediamine derivatives. After that, we compare the obtained data with the data obtained using artificial intelligence and draw conclusions about the advisability of using one approach or another.</div></div>","PeriodicalId":284,"journal":{"name":"Computational and Theoretical Chemistry","volume":"1252 ","pages":"Article 115348"},"PeriodicalIF":3.0000,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational and Theoretical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210271X25002841","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Silanediamines and their derivatives are of significant interest due to their potential applications in materials science and as versatile ligands in coordination chemistry.
This study focuses on the problems of synthesis of silanediamines and their derivatives, exploring their reactivity through a quantum chemical approach and mixed QC and AI (artificial intelligence) approach using a software package MLAtom that is in the public domain. Silanediamines can be deprotonated to form highly reactive mono- and di-anionic species, serving as precursors for various oligomeric and cyclic structures. The experimental challenges associated with silanediamine chemistry, including side reactions, decomposition, and oligomerization, necessitate a deeper understanding of reaction mechanisms at the molecular level. Therefore, we employ quantum chemical simulations to investigate the thermodynamic profiles of reactions involved in the synthesis of silanediamine derivatives. After that, we compare the obtained data with the data obtained using artificial intelligence and draw conclusions about the advisability of using one approach or another.
期刊介绍:
Computational and Theoretical Chemistry publishes high quality, original reports of significance in computational and theoretical chemistry including those that deal with problems of structure, properties, energetics, weak interactions, reaction mechanisms, catalysis, and reaction rates involving atoms, molecules, clusters, surfaces, and bulk matter.