Efficient and Accurate Quantum Simulation for Large Periodic Systems

大型周期性系统的高效、准确的量子模拟

• 批准号: 7611873
• 负责人: JING KONG
• 金额: $ 10.65万
• 依托单位: Q-CHEM, INC.
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-06-01 至 2009-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7611873
• 关键词: Algorithms; Arts; Biological; Biology; Cells; Chemistry; Code; Development; Discipline; Environment; Fourier Transform; Methods; Modeling; Molecular; Molecular Models; Phase; Process; Research Personnel; Science; Simulate; Small Business Innovation Research Grant; Solid; Speed; Surface; System; Techniques; Time; Work; base; biological research; density; design; drug discovery; electron density; electronic structure; improved; molecular modeling; molecular orbital; programs; public health relevance; quantum; quantum chemistry; research and development; simulation; theories

DESCRIPTION (provided by applicant): Q-Chem is a state-of-the-art commercial quantum chemistry program that is used to model molecular processes over a wide range of disciplines, including biology, chemistry, and materials science. Among all the quantum models, density-functional theory (DFT) is the most-widely applied. In this SBIR application, we seek to apply the most recent advances in the molecular DFT calculation to the periodic systems. The current state-of-art programs capable of handling the PBC has major deficiencies in accuracy and efficiency, and lacks the capability for very large unit cells. In recent years, we have developed some new DFT methods for molecular systems that have improved the efficiency of the DFT calculation by several folds without loss of accuracy. In this Phase I proposal, we plan to extend those methods to the periodic systems. We will apply our multiresolution exchange-correlation (mrXC) method to the periodic systems. This method combines seamlessly the two different types of numerical grid with traditions in periodic systems and the molecular quantum chemistry, respectively. mrXC takes advantage of both grids without sacrifice of accuracy. For the Coulomb problem, we will develop a new method to treat the four-center integrals efficiently, in addition to the applying the Fourier-transform Coulomb method. The diagonalization of the Hamiltonian becomes a computational bottleneck for unit cells containing hundreds of atoms or more. We will apply our recently developed absolutely localized molecular orbitals model, which has been very effective for the study of molecular clusters. At the end of this project, Q-Chem will become a uniquely efficient and accurate electronic structure package for large periodic systems. PUBLIC HEALTH RELEVANCE: This project aims to develop and implement efficient and accurate DFT methods for periodic systems. DFT is at the core of molecular modeling and is applied widely in biological research/development and in drug discovery. Periodic systems are routinely used in biological simulations. There is a lack of efficient and accurate DFT methods for this type of systems. The efficient and accurate application of DFT to the periodic systems will significantly increase researchers' quality of work and extend the application scope of quantum simulation.

描述（由申请人提供）：Q-Chem是一个最先进的商业量子化学程序，用于模拟包括生物学、化学和材料科学在内的广泛学科的分子过程。在所有的量子模型中，密度泛函理论（DFT）是应用最广泛的。在这个SBIR应用程序中，我们试图将分子DFT计算的最新进展应用于周期性系统。能够处理PBC的当前最先进的程序在准确性和效率方面具有重大缺陷，并且缺乏用于非常大的单位单元的能力。近年来，我们发展了一些新的分子系统的DFT方法，在不损失精度的情况下，使DFT计算的效率提高了几倍。在第一阶段的提案中，我们计划将这些方法扩展到周期系统。我们将应用我们的多分辨率交换相关（mrXC）方法的周期性系统。该方法将两种不同类型的数值网格分别与周期系统和分子量子化学中的传统方法无缝地结合起来。mrXC在不牺牲精度的情况下利用了这两种网格。对于库仑问题，我们将发展一种新的方法来有效地处理四中心积分，除了应用傅立叶变换库仑方法。哈密顿量的对角化成为包含数百个或更多原子的单位晶胞的计算瓶颈。我们将应用我们最近发展起来的绝对定域分子轨道模型，它对分子团簇的研究非常有效。在这个项目结束时，Q-Chem将成为一个独特的高效和准确的大型周期性系统的电子结构包。 公共卫生相关性：该项目旨在为定期系统开发和实施有效和准确的DFT方法。密度泛函理论（DFT）是分子模拟的核心，广泛应用于生物学研究和药物开发中。周期系统通常用于生物模拟。对于这种类型的系统，缺乏有效和准确的DFT方法。DFT在周期系统中的高效、准确的应用将极大地提高研究人员的工作质量，扩大量子模拟的应用范围。