Collaborative Research: CDI-type I: Discovery and design of new microporous zeolites.

合作研究：CDI-I 型：新型微孔沸石的发现和设计。

• 批准号: 0835605
• 负责人: Michael Treacy
• 金额: $ 25.56万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-10-01 至 2013-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0835605&HistoricalAwards=false
• 关键词: Collaborative; Research; CDI; type; Discovery

Technical abstractThis project seeks to accelerate the rate of discovery of new useful zeolites by computer-aided design. Using graph theory and efficient combinatorial searches, new hypothetical zeolite frameworks will be discovered. Their physical properties will be calculated and their likely usefulness for particular molecular interactions will be evaluated. Tools to assist the synthesis of particular frameworks, such as template identification, will be developed. A searchable interactive database of hypothetical zeolite frameworks will be openly available online. Users will be able to explore the physical properties of zeolites and to upload molecular shapes to find the best- matched pores. In addition, users who have synthesized a new material will be able to upload a powder diffraction pattern to find the best match, thereby accelerating the structure-solution of unknown materials. This work may well transform zeolite synthesis by allowing useful zeolite structures to be discovered (and filtered) ahead of synthesis by computer-assisted rationalization. This will allow synthesis efforts to be more efficiently focused on targeted structures.Layperson's abstractZeolites are arguably one of the most useful classes of materials. Their structures contain crystalline arrays of pores and open channels that are wide enough to allow small molecules such as water and light oil molecules to enter and leave. In addition, their chemical composition allows them to behave as solid acids. Because of these useful properties, zeolites are used extensively in the petrochemical industry, and there is significant effort to synthesize new zeolites with different absorption properties. Currently, the rate of discovery of new zeolites is slow, being done, essentially, through trial and error.This project seeks to accelerate the rate of discovery of new useful zeolites by computer-aided design. Hypothetical useful zeolites will be predicted by mathematical, statistical, and computational methods, and their physical properties will be computed in order to identify the potentially useful ones. This work may well transform zeolite synthesis by allowing useful zeolite structures to be discovered (andfiltered) ahead of synthesis by computer-assisted rationalization. This will allow synthesis efforts to be more efficiently focused on targeted structures.

本项目旨在通过计算机辅助设计加快发现新的有用沸石的速度。使用图论和有效的组合搜索，新的假设沸石框架将被发现。将计算它们的物理性质，并评估它们对特定分子相互作用的可能有用性。将开发有助于综合特定框架的工具，如确定模板。一个可搜索的假设沸石框架的交互式数据库将在网上公开提供。用户将能够探索沸石的物理特性，并上传分子形状，以找到最匹配的孔隙。此外，合成新材料的用户将能够上传粉末衍射图以找到最佳匹配，从而加速未知材料的结构解决方案。这项工作可能会很好地改变沸石合成，通过计算机辅助合理化，使有用的沸石结构被发现（和过滤）之前的合成。这将使合成工作更有效地集中在目标结构上。Layperson's abstractZeelets可以说是最有用的材料类别之一。 它们的结构包含晶体阵列的孔隙和开放的通道，这些通道足够宽，可以让水和轻油分子等小分子进入和离开。此外，它们的化学组成使它们具有固体酸的性质。由于这些有用的性质，沸石被广泛用于石油化学工业，并且存在合成具有不同吸收性质的新沸石的显著努力。目前，新沸石的发现速度很慢，基本上是通过试验和错误来完成的，本项目试图通过计算机辅助设计来加快发现新的有用沸石的速度。将通过数学、统计和计算方法预测假设有用的沸石，并计算它们的物理性质以识别潜在有用的沸石。这项工作可能会很好地改变沸石合成，通过计算机辅助合理化，在合成之前发现（和过滤）有用的沸石结构。 这将使合成工作更有效地集中于目标结构。