Assessing the Potentials of the Adaptive Natural Density Partitioning Methods for Rationalizing Chemical Bonding in Novel Clusters, Solids, Interfaces, and Clusters on Surfaces

评估自适应自然密度分配方法合理化新型簇、固体、界面和表面簇中化学键的潜力

• 批准号: 1361413
• 负责人: Alexander Boldyrev
• 金额: $ 33万
• 依托单位: Utah State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1361413&HistoricalAwards=false
• 关键词: Assessing; Potentials; Adaptive; Natural; Density

Professor Alexander Boldyrev of Utah State University is funded by the Chemical Structure, Dynamics and Mechanisms A (CSDM-A) Program for research to develop new theoretical tools to rationalize bonding, structure, stability, and reactivity of novel and unusual chemical species. The newly developed Adaptive Natural Density Partitioning (AdNDP) and Solid State Adaptive Natural Density Partitioning (SSAdNDP) methods for solids, biomolecules and reaction intermediates will advance the ability to decipher chemical bonding in clusters, nanoparticles, solids, biomolecules, catalysts, as well as to study mechanisms of chemical reactions. The results obtained in these studies can have significant potential for future advancement of nanotechnology, catalysis, material science and biotechnology.This project is assessing the potential of the AdNDP and SSAdNDP methods for interpreting a general electronic wavefunction of molecules, clusters, condensed phase materials and their surfaces, clusters on the surfaces of solids, molecules adsorbed on clusters on the surfaces, and interfaces of two solids. First, a software program capable of finding global minimum and other low-lying isomers of main group and transition metal clusters on the surface of solids is being developed. The way gas phase clusters are altered upon binding to surfaces also is being addressed. Second, these methods are being applied to investigate the 2D-3D transition in negatively charged pure and doped boron clusters and the electronic spectra of boron clusters. Third, the SSAdNDP software is being used to elucidate the chemical bonding in solid-state phosphide compounds. The broader impacts involve the incorporation of these methods into teaching computational and quantum chemistry to undergraduate and graduate students, as well as to high school students during the annual Utah State University High School Summer Internship. Teaching the methods is beneficial to students as it is the only tool capable of rendering a complete chemical bonding picture for molecules featuring both localized and delocalized bonding.

犹他州州立大学的亚历山大·博尔迪列夫教授由化学结构、动力学和机制A（CSDM-A）项目资助，研究开发新的理论工具，以合理化新的和不寻常的化学物质的键合、结构、稳定性和反应性。新开发的自适应自然密度分配（AdNDP）和固态自适应自然密度分配（SSAdNDP）方法用于固体，生物分子和反应中间体，将提高破译团簇，纳米颗粒，固体，生物分子，催化剂中化学键的能力，以及研究化学反应的机制。这些研究结果对纳米技术、催化、材料科学和生物技术的未来发展具有重要的潜力。本项目正在评估AdNDP和SSAdNDP方法解释分子、团簇、凝聚相材料及其表面、固体表面团簇、吸附在表面团簇上的分子和两个固体的界面。首先，正在开发一个能够找到固体表面上主族和过渡金属簇合物的全局最小值和其他低位异构体的软件程序。气相团簇在结合到表面上时改变的方式也正在被解决。第二，这些方法被应用于研究带负电荷的纯硼团簇和掺杂硼团簇的2D-3D跃迁以及硼团簇的电子光谱。第三，SSAdNDP软件被用来阐明固态磷化物化合物中的化学键。更广泛的影响包括将这些方法纳入本科生和研究生的计算和量子化学教学中，以及在每年的犹他州州立大学高中暑期实习期间向高中生提供。教的方法是有益的学生，因为它是唯一的工具，能够呈现一个完整的化学键合图片的分子具有本地化和离域键合。