Molecular Dynamic Simulation of Segregation in Rapidly Solidifying Silicon
快速凝固硅中偏析的分子动力学模拟
基本信息
- 批准号:8821390
- 负责人:
- 金额:$ 13.36万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:1989
- 资助国家:美国
- 起止时间:1989-06-15 至 1991-11-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The rapid solidification of silicon containing impurities will be studied via molecular dynamics simulations. The melt/solid interface moves at a rate of meters per second, so that local equilibrium is not attained. Properties such as the so-called segregation coefficient are no longer constants in these conditions. An understanding of many aspects of rapid solidification, such as impurity-host interactions, requires atomic-scale modeling of multicomponent systems using three- body forces between atoms. The proposed work will use the Stillinger- Weber potential and similar interparticle interactions. Particular attention will be given to impurity trapping, solute diffusivity, and trapping mechanisms. Results of atomic-scale simulations will be important in evaluating different possible models of solute trapping. They will thereby improve continuum-scale modeling of solute segregation. Solute segregation during rapid solidification is central to control formation of meta-stable alloys with novel corrosion resistance and catalytic properties, as are produced, for example, with laser annealing.
用分子动力学模拟方法研究含杂质硅的快速凝固过程。熔体/固体界面以每秒几米的速度移动,因此没有达到局部平衡。在这些条件下,诸如所谓的分离系数之类的性质不再是常量。要理解快速凝固的许多方面,如杂质与主体的相互作用,需要使用原子之间的三体力对多组分系统进行原子尺度的建模。这项拟议的工作将使用斯蒂林格-韦伯势和类似的粒子间相互作用。将特别注意杂质捕获、溶质扩散和捕获机制。原子尺度模拟的结果将是评估不同可能的溶质捕获模型的重要依据。因此,它们将改进溶质分离的连续尺度模拟。快速凝固过程中的溶质偏析是控制具有新型耐腐蚀性和催化性能的亚稳定合金形成的核心,例如,激光退火法就是这样产生的。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Lyle Ungar其他文献
Measuring the Language of Self-Disclosure across Corpora
衡量整个语料库的自我披露语言
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Ann;Sebastian Peralta;João Sedoc;G. Sherman;Lyle Ungar - 通讯作者:
Lyle Ungar
A First Step Towards An Interactive Neuro-Symbolic Framework for Identifying Latent Themes in Large Text Collections
迈向交互式神经符号框架的第一步,用于识别大型文本集合中的潜在主题
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Maria Leonor Pacheco;Tunazzina Islam;Lyle Ungar;Ming Yin;Dan Goldwasser;Microsoft Research - 通讯作者:
Microsoft Research
A report of the CL-Aff OffMyChest Shared Task: Modeling Supportiveness and Disclosure
CL-Aff OffMyChest 共享任务的报告:建模支持和披露
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Kokil Jaidka;Iknoor Singh;Jiahui Liu;Niyati Chhaya;Lyle Ungar - 通讯作者:
Lyle Ungar
Conceptor Debiasing of Word Representations Evaluated on WEAT
在 WEAT 上评估的词表示的概念去偏差
- DOI:
10.18653/v1/w19-3806 - 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
S. Karve;Lyle Ungar;João Sedoc - 通讯作者:
João Sedoc
Beyond Positive Emotion: Deconstructing Happy Moments Based on Writing Prompts
超越积极情绪:根据写作提示解构快乐时刻
- DOI:
10.1609/icwsm.v14i1.7300 - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Kokil Jaidka;Niyati Chhaya;Saran Mumick;M. Killingsworth;A. Halevy;Lyle Ungar - 通讯作者:
Lyle Ungar
Lyle Ungar的其他文献
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{{ truncateString('Lyle Ungar', 18)}}的其他基金
Automatic Modeling using Chemical Plant Data
使用化工厂数据自动建模
- 批准号:
9632992 - 财政年份:1996
- 资助金额:
$ 13.36万 - 项目类别:
Standard Grant
Mathematical Sciences: Support for the 45th Annual Gordon Research Conference on Statistics in Chemistry and Chemical Engineering; August 25-30, 1996; Oxford, England
数学科学:支持第 45 届戈登化学与化学工程统计学年度研究会议;
- 批准号:
9632955 - 财政年份:1996
- 资助金额:
$ 13.36万 - 项目类别:
Standard Grant
Maximum Likelihood Estimation of Radial Basis Function Neural Networks for Process Control
过程控制径向基函数神经网络的最大似然估计
- 批准号:
9504407 - 财政年份:1995
- 资助金额:
$ 13.36万 - 项目类别:
Continuing Grant
Controller Design and Verification Using Qualitative and Semi-Quantitative Reasoning
使用定性和半定量推理进行控制器设计和验证
- 批准号:
9216714 - 财政年份:1993
- 资助金额:
$ 13.36万 - 项目类别:
Standard Grant
Presidential Young Investigator Award
总统青年研究员奖
- 批准号:
8657899 - 财政年份:1987
- 资助金额:
$ 13.36万 - 项目类别:
Continuing Grant
Research Equipment Grant: Networking of Computer Facilities
研究设备补助金:计算机设施网络
- 批准号:
8506577 - 财政年份:1985
- 资助金额:
$ 13.36万 - 项目类别:
Standard Grant
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