Collaborative Research: Experimentally Informed Modeling of Structural Heterogeneity and Deformation of Metallic Glasses
合作研究:金属玻璃结构异质性和变形的实验知情建模
基本信息
- 批准号:2104136
- 负责人:
- 金额:$ 24.97万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-08-01 至 2024-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Non-Technical SummaryMost metals are crystalline where atoms arrange into periodical arrays in 3-dimensions and their structure-property relationships have been well-established, which have enabled their widespread applications as indispensable structural materials in numerous modern technologies. In contrast, metallic glasses are amorphous where atoms do not arrange into periodical arrays. Despite many exceptional properties found in metallic glasses such as high strength and elasticity, the lack of fundamental understanding of their deformation mechanisms has hindered their potential applications in many technical areas. This project seeks to advance our fundamental understanding on how composition affects the structure, in particular, structural heterogeneity at the nanoscale, in metallic glasses and how such structural heterogeneity affects their deformation behavior. The hypothesis is that the presence of different types of medium range ordering, i.e., locally ordered atomic arrangements at the nanometer scale, and their motion during mechanical loading are responsible for different deformation behaviors of metallic glasses. Using a combination of advanced electron microscopy and multiscale computer simulations, this project investigates the atomic structures of medium range ordering present in different metallic glasses and establish a relationship between medium range ordering structures and deformation behavior. For educational outreach, the project integrates (i) an internship program for local community college students with diverse backgrounds, which provides them with research experience and facilitate their transition to 4-year universities, and (ii) online workshops for dissemination of the experimental and computational approaches for metallic glasses and other amorphous materials.Technical SummaryThis project characterize structural heterogeneities in metallic glasses (MGs) at the nanometer scale by quantitatively analyzing nanodiffraction patterns acquired using 4-dimensional scanning transmission electron microscopy (4D-STEM), which provides the information on local medium-range ordering (MRO) that constitutes the MGs’ structural heterogeneities. Using the experimental structure data, together with interatomic potentials, the genetic-algorithm-based StructOpt optimization provides atomic structures that minimize the potential energy under the constraint of MRO structures being fully consistent with the experimental data. The resulting atomistic configurations of MROs are used for subsequent potential energy landscape analysis to gain quantitative understanding on how the MROs affect shear transformation zones (STZs), including the key information on distinctive shear modes, activation energy barrier, activation volume, softening behavior, and local elastic moduli. These crucial STZ parameters that quantify the elementary plastic events, along with the microstructural information related to the structural heterogeneity directly from 4D-STEM, are incorporated into a heterogeneously randomized STZ dynamic model to perform deformation simulations at the length and time scales relevant to real-world experiments. The results from the simulations, which explore various MRO types and their distribution revealed by the experimental characterization, are analyzed to gain understanding of the structural origins of the substantial variations in ductility and β-relaxation observed in two major MG systems, i.e., the Zr-based and La-based MGs. These findings could advance significantly the fundamental understanding of structure-property relationship in MGs and impact the design and development of amorphous materials.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.
非技术概述大多数金属是结晶的,原子在三维中周期性排列,它们的结构-性质关系已经建立,这使得它们作为许多现代技术中不可或缺的结构材料得到了广泛的应用。相比之下,金属玻璃是无定形的,原子不会排列成周期性的阵列。尽管在金属玻璃中发现了许多特殊的性质,如高强度和高弹性,但对其变形机制缺乏基本的了解阻碍了其在许多技术领域的潜在应用。这个项目旨在促进我们对组成如何影响结构的基本理解,特别是纳米级金属玻璃中的结构异质性,以及这种结构异质性如何影响它们的变形行为。假设是不同类型的中程有序,即纳米尺度的局域有序原子排列的存在,以及它们在机械加载过程中的运动,导致了金属玻璃不同的变形行为。利用先进的电子显微镜和多尺度计算机模拟相结合的方法,研究了不同金属玻璃中存在的中程有序化原子结构,并建立了中程有序化结构与形变行为之间的关系。在教育推广方面,该项目包括(I)为具有不同背景的当地社区大学生提供实习计划,为他们提供研究经验,并促进他们过渡到四年制大学,以及(Ii)在线研讨会,传播金属玻璃和其他非晶态材料的实验和计算方法。技术概述本项目通过定量分析使用四维扫描透射式电子显微镜(4D-STEM)获得的纳米衍射图来表征金属玻璃(MGs)中的结构异质性,这提供了构成MGs结构异质性的局部中程有序(MRO)的信息。利用实验结构数据和原子间相互作用势,基于遗传算法的StructOpt优化提供了在MRO结构约束下使势能最小化的原子结构,与实验数据完全一致。所得到的磁流体原子构型被用于随后的势能景观分析,以获得关于磁流体如何影响剪切变化区(STZ)的定量信息,包括关于不同剪切模式、激活能垒、激活体积、软化行为和局部弹性模数的关键信息。这些量化基本塑性事件的关键STZ参数,以及直接来自4D-STEM的与结构非均质性相关的微观结构信息,被合并到非均匀随机化的STZ动态模型中,以执行与真实世界实验相关的长度和时间尺度的变形模拟。对模拟结果进行了分析,探索了实验表征揭示的各种磁致伸缩类型及其分布,以了解在两个主要的MG系统,即锆基和La基MG中观察到的延性和β弛豫显著变化的结构根源。这些发现可以显著促进对MGs结构-性质关系的基本理解,并影响非晶态材料的设计和开发。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Emergent Fractal Energy Landscape as the Origin of Stress-Accelerated Dynamics in Amorphous Solids
- DOI:10.1103/physrevlett.127.215502
- 发表时间:2021-11-16
- 期刊:
- 影响因子:8.6
- 作者:Liu, Chaoyi;Fan, Yue
- 通讯作者:Fan, Yue
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Yue Fan其他文献
Structural and Electrical Properties of the YSZ/STO/YSZ Heterostructure
YSZ/STO/YSZ 异质结构的结构和电性能
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
Yue Fan;Wende Liu;Zhenfeng Kang;Tiezhu Ding - 通讯作者:
Tiezhu Ding
Robust single machine scheduling problem with uncertain job due dates for industrial mass production
工业大批量生产任务到期日不确定的鲁棒单机调度问题
- DOI:
10.23919/jsee.2020.000012 - 发表时间:
2020-04 - 期刊:
- 影响因子:2.1
- 作者:
Yue Fan;Song Shiji;Jia Peng;Wu Guangping;Zhao Han - 通讯作者:
Zhao Han
EDNRB isoform 3 confers Temozolomide resistance in A375 melanoma cells by modulating membrane potential, reactive oxygen species and mitochondrial Ca2+
EDNRB 亚型 3 通过调节膜电位、活性氧和线粒体 Ca2 赋予 A375 黑色素瘤细胞替莫唑胺耐药性
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:3.3
- 作者:
Yun Chen;Fen Liu;Yiding Luo;Yue Fan;Fangyi Xu;Pin Li;Bei Zhou;X. Pan;Chi;Long Cui - 通讯作者:
Long Cui
Study on fuzzy PI control strategies of networked control system
网络控制系统模糊PI控制策略研究
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Hua Xue;Yue Fan - 通讯作者:
Yue Fan
Inferring gene regulatory networks based on spline regression and Bayesian group lasso
基于样条回归和贝叶斯群套索推断基因调控网络
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Yue Fan;Qinke Peng - 通讯作者:
Qinke Peng
Yue Fan的其他文献
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{{ truncateString('Yue Fan', 18)}}的其他基金
CAREER: Connecting Grain Boundary's Metastability Evolution to Mechanical Behavior of Nanocrystalline Alloys During Non-Equilibrium Processing
职业:将晶界的亚稳态演化与纳米晶合金在非平衡加工过程中的机械行为联系起来
- 批准号:
1944879 - 财政年份:2020
- 资助金额:
$ 24.97万 - 项目类别:
Continuing Grant
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- 批准号:10774081
- 批准年份:2007
- 资助金额:45.0 万元
- 项目类别:面上项目
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