Solid-State Nuclear Magnetic Resonance Spectroscopic Investigations of the Structure of Silicate Glasses

硅酸盐玻璃结构的固态核磁共振波谱研究

• 批准号: 9501827
• 负责人: Philip Grandinetti
• 金额: $ 22.05万
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-05-01 至 1999-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9501827&HistoricalAwards=false
• 关键词: Solid; State; Nuclear; Magnetic; Resonance

In this Faculty Early Career Development Award funded by the Experimental Physical Chemistry Program in the Chemistry Division, Phillip Grandinetti of Ohio State University will apply recently developed two dimensional NMR techniques and Dynamic Angle Spinning to characterize structures in silicate glasses. Structural distributions in alkali and alkaline network modified silicate glasses will also be studied to quantify changes in angle distributions, non-bridging oxygen environments, and silicate species distributions as functions of composition. This information will be used to refine potential functions used in molecular dynamics simulation studies of the structure and dynamics of glasses. The educational component of this program will focus on improving faculty-student contact in the general chemistry course, using a database to help instructors identify students with difficulties and implement strategies for improvement, and developing new courses in NMR and Data Acquisition and Analysis. The design and preparation of glasses is made difficult by the lack of sound theoretical models relating composition and structure to properties. Professor Grandinetti will use NMR techniques to provide experimental structural data which can confirm the basis of theoretical models and improve their predictive capabilities. Such information will also be of value in NMR studies of related systems such as ceramics, catalysts, and biopolymers.

在这个由实验资助的教师早期职业发展奖 化学系物理化学课程，菲利普Grandinetti 俄亥俄州州立大学将应用最近开发的二维 核磁共振技术和动态角旋转来表征 硅酸盐玻璃 碱金属和碱土金属中的结构分布 网络改性硅酸盐玻璃也将研究量化 角度分布的变化、非桥接氧气环境，以及 硅酸盐物种分布作为组成的函数。 这 这些信息将用于改进分子生物学中使用的潜在功能。 玻璃结构和动力学的动力学模拟研究。 该计划的教育部分将侧重于提高 在普通化学课程师生接触，使用数据库 帮助教师识别有困难的学生， 改进策略，并开发NMR和数据的新课程 采集和分析。 玻璃的设计和制备由于缺乏 合理的理论模型， 特性. Grandinetti教授将使用NMR技术提供 实验结构数据，可以证实理论的基础， 模型并提高其预测能力。 这些信息将 在相关系统如陶瓷的NMR研究中也有价值， 催化剂和生物聚合物。