CAREER: Toward Reliable Nonadiabatic Dynamics in Condensed Matter and Nanoscale Systems
CAREER: Toward Reliable Nonadiabatic Dynamics in Condensed Matter and Nanoscale Systems
批准号:
2045204
负责人:
Alexey Akimov
金额:
$65.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-06-01 至 2026-05-31
中文摘要
纽约州立大学布法罗分校的Alexey Akimov获得了化学系化学理论、模型和计算方法项目的CAREER奖,他的理论研究旨在提高凝聚态物质和纳米级系统的量子动力学方法的可靠性和效率。理解电荷和能量转移等量子过程的动力学和机制对于合理设计各种材料(如光伏、光催化或能量存储系统、光电和量子材料)至关重要。在原子水平上对如此复杂系统中的量子过程进行计算建模,不可避免地涉及到对计算预测的可靠性提出挑战的近似。计算的复杂性也限制了可以从第一性原理研究的过程的范围。在这个项目中,Akimov和他的团队将开发新的理论框架、计算方法和开源软件,以解除目前纳米级系统中量子动力学模拟的限制。该项目将探索目前使用的简化方法的质量,从更严格的基础上重新评估它们,并将大型系统中的量子动力学计算状态提升到一个新的严谨和实用水平,这是以前无法达到的。在这个项目中开发的开源软件将使研究人员能够研究新的、以前无法获得的太阳能材料,为可持续和可再生能源经济的发展做出贡献。阿基莫夫博士的研究项目与他的推广和教育项目紧密结合,包括为研究生举办的理论化学研讨会,以及为广大科学听众举办的虚拟国际系列研讨会。在这个项目中,Akimov小组将开发和研究在凝聚态和纳米级系统中模拟量子非绝热动力学的可靠和有效的方法。将探索非线性降维和机器学习策略,以实现计算许多纳秒长的量子轨迹,而无需昂贵的从头计算。这些策略有望帮助获得电子跃迁的收敛统计和估计计算属性中的误差条。它们还将使固有的慢量子过程和不频繁事件建模成为可能,并有助于加速大型系统的非绝热动力学建模。该项目旨在确定“有效的”低维坐标,用于促进各种材料的光激发动力学分析。大型系统非绝热动力学的新技术将基于运动方程的形式精确层次方法而发展。这些发展使我们能够以一种非扰动的方式准确地描述复杂系统中浴池诱导的退相干和激发态的热化。新的非绝热动力学方法计算电子态耦合和能量在多体水平,超越常用的单粒子图像,将开发和实现在开放源代码。这些进步旨在使计算材料科学家能够模拟量子限制系统中的激子动力学,并捕获具有不频繁电子跃迁的慢动力学。该项目得出的非绝热动力学方法将根据模型和实验资料进行验证。这些努力旨在评估用于扩展系统的现代近似量子经典方法,并将其提高到一个新的严格性和可靠性水平。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Alexey Akimov of the State University of New York at Buffalo is supported by a CAREER award from the Chemical Theory, Models and Computational Methods program in the Division of Chemistry for theoretical research aimed to advance the reliability and efficiency of quantum dynamics methods for condensed matter and nanoscale systems. Understanding the kinetics and mechanisms of quantum processes such as charge and energy transfer is critical for rationally designing a wide variety of materials such as photovoltaic, photocatalytic, or energy-storage systems, optoelectronic and quantum materials. The computational modeling of the quantum processes in such complex systems at the atomistic level inevitably involves approximations that challenge the reliability of the computational predictions. The computational complexity also limits the range of the processes that can be studied from first principles. In this project, Akimov and his group will develop new theoretical frameworks, computational methodologies, and open-source software to lift the current limitations of quantum dynamics simulations in nanoscale systems. This project will explore the quality of the presently-used simplified approaches, re-evaluate them from more rigorous grounds, and bring the state of quantum dynamics calculations in large systems to a new level of rigor and practicality, unreachable before. The open-source software developed in this project will enable researchers to study new, previously inaccessible, classes of solar energy materials, contributing toward sustainable and renewable energy economy development. Dr. Akimov’s research program is closely integrated with his outreach and educational programs, including workshops on theoretical chemistry for graduate students and a virtual international seminar series for a broad scientific audience.In this project, the Akimov group will develop and study reliable and efficient methods for modeling quantum nonadiabatic dynamics in condensed matter and nanoscale systems. The nonlinear dimensionality reduction and machine learning strategies will be explored to enable computing many nanosecond-long quantum trajectories, without expensive ab initio calculations. These strategies are expected to help obtain the converged statistics of electronic transitions and estimate the error bars in computed properties. They will also enable modeling intrinsically slow quantum processes and infrequent events and help accelerate nonadiabatic dynamics modeling of large systems. The project aims to identify the “effective” low-dimensional coordinates that can be used to facilitate the analysis of photoexcited dynamics in various materials. New techniques for nonadiabatic dynamics in large systems will be developed based on the formally-exact hierarchy of equations of motion method. These developments enable the accurate description of the bath-induced decoherence, and thermalization of excited states in complex systems, in a non-perturbative way. New nonadiabatic dynamics methods for computing electronic state couplings and energies at the many-body level, beyond the commonly-used single-particle picture, will be developed and implemented in open-source codes. These advancements seek to enable computational material scientists to model excitonic dynamics in quantum-confined systems and capture slow dynamics with infrequent electronic transitions. The nonadiabatic dynamics approaches resulting from this project will be validated against the model and experimental references. These efforts aim to assess modern approximate quantum-classical methods for extended systems and bring them to a new level of rigor and reliability.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
PySyComp: A Symbolic Python Library for the Undergraduate Quantum Chemistry Course
PySyComp:本科生量子化学课程的符号 Python 库
DOI:
10.1021/acs.jchemed.2c00974
发表时间:
2023
期刊:
Journal of Chemical Education
影响因子:
3
作者:
[Stippell, Elizabeth, Akimov, Alexey V., Prezhdo, Oleg V.]
通讯作者:
Prezhdo, Oleg V.
Extending the Time Scales of Nonadiabatic Molecular Dynamics via Machine Learning in the Time Domain
DOI:
10.1021/acs.jpclett.1c03823
发表时间:
2021-12-16
期刊:
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
影响因子:
5.7
作者:
[Akimov, Alexey, V]
通讯作者:
Akimov, Alexey, V
Elements: Libra: The Modular Software for Nonadiabatic and Quantum Dynamics
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批准号:1931366
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项目类别:Standard Grant
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资助金额:$44.95万
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财政年份:2020
-
负责人:Alexey Akimov
-
依托单位:
CyberTraining: Pilot: Modeling Excited State Dynamics in Solar Energy Materials
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批准号:1924256
-
项目类别:Standard Grant
-
资助金额:$29.96万
-
财政年份:2019
-
负责人:Alexey Akimov
-
依托单位:
New Color Centers in Diamond: Towards Broadband Quantum Memories
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批准号:1820930
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项目类别:Standard Grant
-
资助金额:$40.0万
-
财政年份:2018
-
负责人:Alexey Akimov
-
依托单位:
国内基金
海外基金
Toward a general theory of intermittent aeolian and fluvial nonsuspended sediment transport
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批准号:--
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项目类别:--
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资助金额:55万元
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批准年份:2022
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负责人:Thomas Pahtz
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依托单位: