Elements: Embedding Framework for Quantum Many-Body Simulations
Elements: Embedding Framework for Quantum Many-Body Simulations
批准号:
2310582
负责人:
Emanuel Gull
金额:
$60.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-09-15 至 2026-08-31
中文摘要
在量子场论框架内描述量子系统,如分子和固体,使用所谓的格林函数的语言。这些物体封装了有关电子相关、温度、激发和量子系统其他可观察属性的信息。GREEN软件项目是美国国家科学基金会关于持续科学软件的网络基础设施项目的一部分,该项目提供开源软件,用于在GREEN函数语言中模拟分子和固体量子系统。这包括存储和操作格林函数对象的设施,解决各种类型的量子系统,并分析它们的物理内容。这个开源软件通过促进量子材料的描述、理解和发现,从而促进了科学的进步。GREEN的目标是建立一个综合的包,利用现有的分子和周期系统的GREEN功能代码。这项计划将培养一套通用的、可靠的工具,以满足研究现实系统和模型系统的计算格林函数形式的研究人员的需要。GREEN包含多个模块,既可以单独使用,也可以与其他包组合使用,从而可以开发新的代码并进行后密度泛函理论计算。这些工具将有效地解决弱相关和强相关的问题,适应量子化学、凝聚态物质和材料科学的广泛科学研究。此外,GREEN的灵活性允许探索和推进新的科学和算法概念,使研究人员能够进行前沿应用。GREEN旨在解决的一些计算挑战包括探索强相关氧化物钙钛矿,研究固体的磁性相和分子磁体的性质,以及模拟小分子的量子动力学问题。该奖项由美国国家科学基金会高级网络基础设施办公室颁发,并得到材料研究部的联合支持。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
The description of quantum systems, such as molecules and solids, within a quantum field theory framework employs the language of so-called Green's functions. These objects encapsulate information on electron correlation, temperature, excitations, and other observable properties of quantum systems. The GREEN software project, funded as part of the National Science Foundation program on cyberinfrastructure for sustained scientific software, provides open source software for the simulation of molecular and solid quantum systems within the language of Green's functions. This includes facilities to store and manipulate Green's function objects, to solve quantum systems of various types, and to analyze their physical content. This open source software thereby promotes the progress of science by facilitating the description, understanding, and discovery of quantum materials.GREEN aims to establish a comprehensive package that capitalizes on existing Green's function codes for molecules and periodic systems. This initiative will foster a versatile and dependable set of tools, catering to researchers engaged in computational Green's function formalism for both realistic and model systems. Comprising multiple modules, GREEN can be employed either individually or in combination with other packages, enabling the development of new codes and conducting post-density functional theory calculations. These tools will effectively address weakly and strongly correlated problems, accommodating a broad spectrum of scientific investigations in quantum chemistry, condensed matter, and materials science. Moreover, GREEN's flexibility allows for the exploration and advancement of novel scientific and algorithmic concepts, empowering researchers to undertake cutting-edge applications. Some of the computational challenges GREEN is desigend to address include exploring strongly correlated oxide perovskites, studying the magnetic phases of solids and the properties of molecular magnets, as well as simulating problems in quantum dynamics for small molecules.This award by the NSF Office of Advanced Cyberinfrastructure is jointly supported by the Division of Materials Research.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(0)
专著(0)
科研奖励(0)
会议论文
NSF-BSF: CDS&E: Tensor Train methods for Quantum Impurity Solvers
-
批准号:2401159
-
项目类别:Continuing Grant
-
资助金额:$35.54万
-
财政年份:2024
-
负责人:Emanuel Gull
-
依托单位:
Extracting Spectral Information from Noisy Quantum Data
-
批准号:2310182
-
项目类别:Standard Grant
-
资助金额:$35.0万
-
财政年份:2023
-
负责人:Emanuel Gull
-
依托单位:
CDS&E: Numerical Investigation of Two-Particle Response Functions of Correlated Materials
-
批准号:2001465
-
项目类别:Continuing Grant
-
资助金额:$33.0万
-
财政年份:2020
-
负责人:Emanuel Gull
-
依托单位:
CDS&E: Numerical Investigation of Two-Particle Response Functions of Correlated Materials
-
批准号:1606348
-
项目类别:Standard Grant
-
资助金额:$35.64万
-
财政年份:2016
-
负责人:Emanuel Gull
-
依托单位:
海外基金