Ab initio molecular dynamics with quantum nuclear effects: potential surfaces and gradients from on-the-fly fragment based electronic structure methods
具有量子核效应的从头算分子动力学:基于电子结构方法的动态片段的势表面和梯度
基本信息
- 批准号:1665336
- 负责人:
- 金额:$ 43.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-08-01 至 2020-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Srinivasan S. Iyengar of Indiana University is supported by an award from the Chemical Theory, Models and Computational Methods program. Many problems at the forefront of energy, environmental and biological research demand the quantum mechanical treatment of electrons and nuclei. But the detailed quantum description of such problems is much too complex even in today?s high performance computing environment. This is because the computational complexity in these problems grows exponentially with system size, which makes them intractable. Iyengar and his research group are developing new computational methods to address these issues. These methods are poised to have major impact on the study of a wide class of problems in biological enzymes, atmospheric chemistry and materials science including study of hydrogen transfer in polymer electrolyte fuel cells. The methods are at the forefront of modern computational quantum chemistry and chemical physics. Hence students in the PI's group have the opportunity to learn and develop new theoretical methods and apply these methods to important practical problems. The results, involving computer codes as well as novel scientific ideas are widely disseminated to the scientific community. Specifically, the computer programs when completed will appear as part of the NSF-funded SEAGrid science gateway. In addition, the PI continues to initiate participation and mentoring of freshman by chemistry faculty. The PI further envisions homogenizing the chemistry curriculum by developing student directed web-based learning methods to connect the sub-disciplines of chemistry and achieve a continuous rather than discrete education of undergraduates. Computing accurate classical trajectories and potential surfaces in agreement with high levels of electronic structure for complex chemical systems is a major challenge in computational chemistry and chemical physics. Iyengar and co-workers are making contributions in this area, including the development of on-the-fly molecular dynamics methods that allow accurate treatment of electronic structure at the MP2 and Coupled Cluster level, using methods that scale like DFT. Furthermore, they are computing potential surfaces for quantum-mechanical nuclear degrees of freedom that are in good agreement with higher levels of electronic structure methods such as MP2 and Coupled Cluster, at computational costs comparable to DFT. While ab initio molecular dynamics (AIMD) methods are appealing because they do not need an a priori fitted potential surface, this advantage is normally precluded since on-the-fly evaluation of potential and forces is a strong computational constraint. Hence most implementations of AIMD are limited to density functional theoretic (DFT) treatment of electronic structure. The goal of this project is to alleviate this computational constraint and make AIMD more routinely and broadly applicable using efficient methods that allow higher levels of electronic structure, post-Hartree-Fock accuracy. Specifically, the proposal deals with (a) the development of new methods to efficiently compute on-the-fly electronic structure for AIMD and Car-Parrinello-like methods in agreement with MP2, Coupled Cluster and other post-Hartree-Fock methods, (b) the computation of potential surfaces using these approaches to facilitate on-the-fly quantum dynamics. Chemical problems to be studied include, (i) the study conformation dynamics and vibrational properties of protonated water clusters, and (ii) the determination of accurate potential surfaces for reaction paths and quantum wave packet dynamics studies on hydrogen transfer reactions involved in the oxidation pathways of hydroxyl-isoprene, which is a biogenic volatile organic compound.
斯里尼瓦桑湾印第安纳州大学的艾扬格得到了化学理论、模型和计算方法项目的支持。 能源、环境和生物研究前沿的许多问题都需要对电子和原子核进行量子力学处理。但是,即使在今天,对这些问题的详细量子描述也太复杂了。的高性能计算环境。这是因为这些问题的计算复杂度随着系统规模呈指数级增长,这使得它们难以处理。 艾扬格和他的研究小组正在开发新的计算方法来解决这些问题。这些方法有望对生物酶、大气化学和材料科学中的广泛问题的研究产生重大影响,包括聚合物电解质燃料电池中的氢转移研究。 这些方法处于现代计算量子化学和化学物理学的前沿。因此,PI组的学生有机会学习和发展新的理论方法,并将这些方法应用于重要的实际问题。研究结果,包括计算机代码以及新的科学思想,被广泛传播到科学界。具体来说,计算机程序完成后将作为NSF资助的SEAGrid科学网关的一部分出现。此外,PI继续发起化学系新生的参与和指导。PI进一步设想通过开发学生指导的基于网络的学习方法来连接化学的子学科,并实现连续而不是离散的本科生教育。精确计算复杂化学体系的经典轨线和势能面,使之与高水平的电子结构相一致,是计算化学和化学物理中的一个重大挑战。 艾扬格和他的同事们正在这一领域做出贡献,包括发展动态分子动力学方法, 允许在MP2和耦合团簇水平上精确处理电子结构,使用类似DFT的方法。此外,他们正在计算量子力学核自由度的势面,与更高层次的电子结构方法(如MP2和耦合簇)非常一致,计算成本与DFT相当。虽然从头算分子动力学(AIMD)方法很有吸引力,因为它们不需要先验拟合的势面,但这种优势通常被排除,因为对势和力的动态评估是一个很强的计算约束。因此,大多数AIMD的实现仅限于电子结构的密度泛函理论(DFT)处理。 本项目的目标是缓解这种计算限制,并使用允许更高水平电子结构、后Hartree-Fock精度的有效方法,使AIMD更常规和更广泛地适用。具体而言,该提案涉及(a)开发新方法,以有效计算AIMD和Car-Parrinello类方法的动态电子结构,与MP2、耦合簇和其他后Hartree-Fock方法一致,(B)使用这些方法计算势面,以促进动态量子动力学。研究的化学问题包括:(i)质子化水分子团簇的构象动力学和振动性质的研究,以及(ii)反应路径的精确势能面的确定和羟基异戊二烯氧化途径中氢转移反应的量子波包动力学研究,羟基异戊二烯是一种生物挥发性有机化合物。
项目成果
期刊论文数量(12)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Embedded, graph‐theoretically defined many‐body approximations for wavefunction‐in‐DFT and DFT‐in‐DFT : Applications to gas‐ and condensed‐phase ab initio molecular dynamics, and potential surfaces for quantum nuclear effects
- DOI:10.1002/qua.26244
- 发表时间:2020-05
- 期刊:
- 影响因子:2.2
- 作者:Timothy C. Ricard;Anup Kumar;S. Iyengar
- 通讯作者:Timothy C. Ricard;Anup Kumar;S. Iyengar
Proton relays in anomalous carbocations dictate spectroscopy, stability, and mechanisms: case studies on C 2 H 5 + and C 3 H 3 +
异常碳阳离子中的质子中继决定了光谱、稳定性和机制:C 2 H 5 和 C 3 H 3 的案例研究
- DOI:10.1039/c7cp05577c
- 发表时间:2017
- 期刊:
- 影响因子:0
- 作者:Sager, LeeAnn M.;Iyengar, Srinivasan S.
- 通讯作者:Iyengar, Srinivasan S.
Efficient and Adaptive Methods for Computing Accurate Potential Surfaces for Quantum Nuclear Effects: Applications to Hydrogen-Transfer Reactions
计算量子核效应精确势面的高效自适应方法:在氢转移反应中的应用
- DOI:10.1021/acs.jctc.7b00927
- 发表时间:2017
- 期刊:
- 影响因子:5.5
- 作者:DeGregorio, Nicole;Iyengar, Srinivasan S.
- 通讯作者:Iyengar, Srinivasan S.
Photoelectrons Are Not Always Quite Free
光电子并不总是完全自由的
- DOI:10.1021/acs.jpclett.8b03253
- 发表时间:2019
- 期刊:
- 影响因子:0
- 作者:Mason, Jarrett L.;Topolski, Josey E.;Ewigleben, Joshua;Iyengar, Srinivasan S.;Jarrold, Caroline Chick
- 通讯作者:Jarrold, Caroline Chick
Exotic electronic structures of Sm x Ce 3−x O y (x = 0-3; y = 2-4) clusters and the effect of high neutral density of low-lying states on photodetachment transition intensities
Sm x Ce 3−x O y (x = 0-3; y = 2-4)团簇的奇异电子结构及低位态高中性密度对光脱离跃迁强度的影响
- DOI:10.1063/1.5043490
- 发表时间:2018
- 期刊:
- 影响因子:0
- 作者:Topolski, Josey E.;Kafader, Jared O.;Marrero-Colon, Vicmarie;Iyengar, Srinivasan S.;Hratchian, Hrant P.;Jarrold, Caroline Chick
- 通讯作者:Jarrold, Caroline Chick
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Srinivasan Iyengar其他文献
Opportunistic Prefetching of Cellular Internet of Things (cIoT) Device Contexts
蜂窝物联网 (cIoT) 设备上下文的机会预取
- DOI:
10.1109/icccn.2018.8487456 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Srinivasan Iyengar;V. Gurbani;Yu Zhou;Sameerkumar Sharma - 通讯作者:
Sameerkumar Sharma
Characterization of Microstructure and Mechanical Properties of High Chromium Cast Irons Using SEM and Nanoindentation
- DOI:
10.1007/s11665-014-1245-8 - 发表时间:
2014-10-30 - 期刊:
- 影响因子:2.000
- 作者:
Ling Chen;Srinivasan Iyengar;Jinming Zhou;Krystof Turba;Jan-Eric Ståhl - 通讯作者:
Jan-Eric Ståhl
Enabling Distributed Energy Storage by Incentivizing Small Load Shifts
通过激励小负荷变化实现分布式储能
- DOI:
10.1145/3015663 - 发表时间:
2017 - 期刊:
- 影响因子:2.3
- 作者:
David E. Irwin;Srinivasan Iyengar;Stephen Lee;A. Mishra;Prashant J. Shenoy;Ye Xu - 通讯作者:
Ye Xu
Distributed Rate Control for Smart Solar Arrays
智能太阳能电池阵列的分布式速率控制
- DOI:
10.1145/3077839.3077840 - 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Stephen Lee;Srinivasan Iyengar;David E. Irwin;Prashant J. Shenoy - 通讯作者:
Prashant J. Shenoy
iProgram: Inferring Smart Schedules for Dumb Thermostats
iProgram:推断哑恒温器的智能时间表
- DOI:
10.1145/2821650.2821653 - 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Srinivasan Iyengar;Sandeep Kalra;A. Ghosh;David E. Irwin;Prashant J. Shenoy;Benjamin M Marlin - 通讯作者:
Benjamin M Marlin
Srinivasan Iyengar的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Srinivasan Iyengar', 18)}}的其他基金
Ab Initio molecular Dynamics with Quantum Nuclear Effects: Potential Surfaces and Gradients from on-the-fly Graph-Theory-Based Molecular Fragmentation Methods
具有量子核效应的从头算分子动力学:基于动态图论的分子断裂方法的势表面和梯度
- 批准号:
2102610 - 财政年份:2021
- 资助金额:
$ 43.5万 - 项目类别:
Continuing Grant
QII-TAQS: Simulating Entangled Quantum Chemical Abstract Machines
QII-TAQS:模拟纠缠量子化学抽象机
- 批准号:
1936353 - 财政年份:2019
- 资助金额:
$ 43.5万 - 项目类别:
Standard Grant
Development and application of Quantum wavepacket ab initio molecular dynamics for study of vibrational properties in hydrogen bonded systems
量子波包从头算分子动力学的开发和应用,用于研究氢键系统的振动特性
- 批准号:
1058949 - 财政年份:2011
- 资助金额:
$ 43.5万 - 项目类别:
Standard Grant
Development and application of Quantum wavepacket ab initio molecular dynamics for study of vibrational properties in hydrogen bonded systems
量子波包从头算分子动力学的开发和应用,用于研究氢键系统的振动特性
- 批准号:
0750326 - 财政年份:2008
- 资助金额:
$ 43.5万 - 项目类别:
Continuing Grant
相似国自然基金
微溶剂效应对 SN2 反应动力学的影响:直接 ab initio 轨线研究
- 批准号:21573052
- 批准年份:2015
- 资助金额:66.0 万元
- 项目类别:面上项目
有限核对关联和微观对相互作用的研究
- 批准号:11075213
- 批准年份:2010
- 资助金额:30.0 万元
- 项目类别:面上项目
相似海外基金
Quantum Vibrational Spectra of Hydrogen in Materials by Ab Initio Semiclassical Molecular Dynamics
利用从头算半经典分子动力学研究材料中氢的量子振动光谱
- 批准号:
23K04670 - 财政年份:2023
- 资助金额:
$ 43.5万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Inter molecular potential prediction by ab initio molecular orbital method for refrigerant property calculation
从头算分子轨道法预测分子间势用于制冷剂特性计算
- 批准号:
22K03946 - 财政年份:2022
- 资助金额:
$ 43.5万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
CAREER: Development of Constrained Multicomponent Density Functional Theory and Accurate and Efficient Incorporation of Nuclear Quantum Effects in ab initio Molecular Dynamics
职业:约束多组分密度泛函理论的发展以及从头算分子动力学中准确有效地结合核量子效应
- 批准号:
2238473 - 财政年份:2022
- 资助金额:
$ 43.5万 - 项目类别:
Standard Grant
Spectroscopic, ab initio, and Smog-Chamber Studies of Molecular Aggregates
分子聚集体的光谱、从头算和烟雾室研究
- 批准号:
RGPIN-2018-05782 - 财政年份:2022
- 资助金额:
$ 43.5万 - 项目类别:
Discovery Grants Program - Individual
Hydration Structures and Perturbed Hydrogen Bond Network in Salt Solutions by Advanced Ab Initio Molecular Dynamics and Electronic Structure Simulation Methods
通过先进的从头算分子动力学和电子结构模拟方法研究盐溶液中的水合结构和扰动氢键网络
- 批准号:
2053195 - 财政年份:2021
- 资助金额:
$ 43.5万 - 项目类别:
Continuing Grant
Ab Initio molecular Dynamics with Quantum Nuclear Effects: Potential Surfaces and Gradients from on-the-fly Graph-Theory-Based Molecular Fragmentation Methods
具有量子核效应的从头算分子动力学:基于动态图论的分子断裂方法的势表面和梯度
- 批准号:
2102610 - 财政年份:2021
- 资助金额:
$ 43.5万 - 项目类别:
Continuing Grant
Spectroscopic, ab initio, and Smog-Chamber Studies of Molecular Aggregates
分子聚集体的光谱、从头算和烟雾室研究
- 批准号:
RGPIN-2018-05782 - 财政年份:2021
- 资助金额:
$ 43.5万 - 项目类别:
Discovery Grants Program - Individual
Data-Driven Reduced-Order Modeling of Ab Initio Molecular Dynamics
从头算分子动力学的数据驱动降阶建模
- 批准号:
1953120 - 财政年份:2020
- 资助金额:
$ 43.5万 - 项目类别:
Standard Grant
Spectroscopic, ab initio, and Smog-Chamber Studies of Molecular Aggregates
分子聚集体的光谱、从头算和烟雾室研究
- 批准号:
RGPIN-2018-05782 - 财政年份:2020
- 资助金额:
$ 43.5万 - 项目类别:
Discovery Grants Program - Individual
Spectroscopic, ab initio, and Smog-Chamber Studies of Molecular Aggregates
分子聚集体的光谱、从头算和烟雾室研究
- 批准号:
RGPIN-2018-05782 - 财政年份:2019
- 资助金额:
$ 43.5万 - 项目类别:
Discovery Grants Program - Individual