Peng Lian , Rongrong Peng , Tianjun Yu , Guoqiang Yang , Jinping Chen , Yi Li , Yi Zeng
{"title":"Molecular simulation-based developer screening for molecular glass photoresists","authors":"Peng Lian , Rongrong Peng , Tianjun Yu , Guoqiang Yang , Jinping Chen , Yi Li , Yi Zeng","doi":"10.1016/j.commatsci.2024.113429","DOIUrl":null,"url":null,"abstract":"<div><div>Screening of photoresist developers is critical for high-resolution lithography processes. Efficient estimation for photoresist solubility to facilitate the process of developer screening is of both fundamental and practical importance. In this study, we proposed a solubility prediction and developer screening approach for the molecular glass photoresists based on the molecular simulation calculation of two-component solubility parameters. The values of the two-component solubility parameters (<em>δ<sub>Lennard-Jones</sub></em> and <em>δ<sub>Coulomb</sub></em>) for 60 solvents were calculated, and their correlation with experimental Hansen solubility parameters was investigated. Meanwhile, the parameters calculation methods of binary mixed solvents with different polarities were systematically investigated. Then, the accuracy of solubility prediction was verified by dissolution experiments and Hansen solubility parameters, revealing that the two-component solubility parameters could reasonably reflect the solubilities of neutral and ionic molecular glass photoresists in most solvents. Furthermore, developer screening schemes using both pure and mixed solvents were investigated based on the two-component solubility parameters, which was further confirmed by the practical lithography experiments. The current method provides a viable approach for characterizing the photoresist solubility and screening appropriate developers, which is beneficial for accelerating the development of photoresist materials.</div></div>","PeriodicalId":10650,"journal":{"name":"Computational Materials Science","volume":"246 ","pages":"Article 113429"},"PeriodicalIF":3.1000,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Materials Science","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0927025624006505","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Screening of photoresist developers is critical for high-resolution lithography processes. Efficient estimation for photoresist solubility to facilitate the process of developer screening is of both fundamental and practical importance. In this study, we proposed a solubility prediction and developer screening approach for the molecular glass photoresists based on the molecular simulation calculation of two-component solubility parameters. The values of the two-component solubility parameters (δLennard-Jones and δCoulomb) for 60 solvents were calculated, and their correlation with experimental Hansen solubility parameters was investigated. Meanwhile, the parameters calculation methods of binary mixed solvents with different polarities were systematically investigated. Then, the accuracy of solubility prediction was verified by dissolution experiments and Hansen solubility parameters, revealing that the two-component solubility parameters could reasonably reflect the solubilities of neutral and ionic molecular glass photoresists in most solvents. Furthermore, developer screening schemes using both pure and mixed solvents were investigated based on the two-component solubility parameters, which was further confirmed by the practical lithography experiments. The current method provides a viable approach for characterizing the photoresist solubility and screening appropriate developers, which is beneficial for accelerating the development of photoresist materials.
期刊介绍:
The goal of Computational Materials Science is to report on results that provide new or unique insights into, or significantly expand our understanding of, the properties of materials or phenomena associated with their design, synthesis, processing, characterization, and utilization. To be relevant to the journal, the results should be applied or applicable to specific material systems that are discussed within the submission.