CAREER: Geometric Modeling for Computer Aided Nano Design
职业:计算机辅助纳米设计的几何建模
基本信息
- 批准号:1001040
- 负责人:
- 金额:$ 32.58万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-08-17 至 2013-02-28
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The research objective of this Faculty Early Career Development (CAREER) award is to develop multi-scale geometric modeling and simulation methods to support computer aided nano design (CAND). Periodic surface models will be developed to provide engineers with a broad range of available shapes for design, to establish a bridge between length scales and to provide tools for reverse engineering of molecular and macromolecular structures. Methods of parametric construction and reconstruction of geometric models ranging from atomic, molecular, to mesoscopic scales will be developed A physics-based geometry-guided phase transition simulation mechanism will be developed to predict material structure and property changes and to study material functionality and stability. A suite of modular CAND toolkits for 3D visualization, model construction and reconstruction, and phase transition simulation will be created and tested.If successful, the results of this research will be important elements of computational infrastructure that enables rational design of nano materials and devices. It will assist, for example, chemists for material design, engineers for multiscale device design, and biologists for drug design. With new CAND tools, engineers and scientists will better understand material properties, analyze structures and behaviors, and systematically create nano products by design. With this advancement, clean and safe new materials are expected to emerge at a much faster pace and in an affordable way to affect people's daily lives, such as the proposed demonstrative applications in energy and semiconductor areas. The results will be distributed and transferred through various communication channels in the continuously expanding CAND community. The planned education and outreach programs will use the developed geometry concepts as incentive to attract K-12 students into the fields of science, engineering, and mathematics. Undergraduate and graduate students involved in the research and coursework will be trained as next-generation engineers in the forthcoming nano manufacturing era.
该教师早期职业发展(CAREER)奖的研究目标是开发多尺度几何建模和模拟方法,以支持计算机辅助纳米设计(CAND)。将开发周期性表面模型,为工程师提供广泛的设计形状,建立长度尺度之间的桥梁,并为分子和大分子结构的逆向工程提供工具。将开发从原子、分子到介观尺度的几何模型的参数化构造和重建方法。将开发基于物理的几何引导的相变模拟机制,以预测材料结构和性能变化,并研究材料功能和稳定性。一套模块化的CAND工具包,用于三维可视化,模型构建和重建,以及相变模拟将被创建和测试。如果成功的话,这项研究的结果将是计算基础设施的重要组成部分,使纳米材料和器件的合理设计。例如,它将帮助化学家进行材料设计,工程师进行多尺度设备设计,生物学家进行药物设计。借助新的CAND工具,工程师和科学家将更好地了解材料特性,分析结构和行为,并通过设计系统地创建纳米产品。随着这一进步,预计清洁和安全的新材料将以更快的速度出现,并以负担得起的方式影响人们的日常生活,例如能源和半导体领域的示范应用。结果将通过不断扩大的CAND社区的各种通信渠道分发和传输。计划中的教育和推广计划将使用发达的几何概念作为激励,以吸引K-12学生进入科学,工程和数学领域。参与研究和课程的本科生和研究生将被培养为即将到来的纳米制造时代的下一代工程师。
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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Yan Wang其他文献
Synthesis, structure, and reactivity of .eta.2-1,3-diene and enyne complexes of the chiral rhenium Lewis acid [(.eta.5-C5H5)Re(NO)(PPh3)]+: ozonolysis within a metal coordination sphere
手性铼路易斯酸[(eta.5-C5H5)Re(NO)(PPh3)]的eta2-1,3-二烯和烯炔配合物的合成、结构和反应性:金属配位球内的臭氧分解
- DOI:
- 发表时间:
1993 - 期刊:
- 影响因子:0
- 作者:
T. Peng;Yan Wang;A. Arif;J. Gladysz - 通讯作者:
J. Gladysz
Prevalence and characteristics of cough headache in a Chinese respiratory clinic
我国某呼吸科门诊咳嗽头痛的患病率及特点[J].
- DOI:
10.1177/0333102420970187 - 发表时间:
2020 - 期刊:
- 影响因子:4.9
- 作者:
Yimo Zhang;Xin Zhao;Yan Wang;Zhao Dong;Shengyuan Yu - 通讯作者:
Shengyuan Yu
An Acetone Sensor Based on Plasma-Assisted Cataluminescence and Mechanism Studies by Online Ionizations.
基于等离子体辅助催化发光的丙酮传感器和在线电离机理研究。
- DOI:
10.1021/acs.analchem.9b04023 - 发表时间:
2019 - 期刊:
- 影响因子:7.4
- 作者:
Ni Zeng;Zi Long;Yan Wang;Jianghui Sun;Jin Ouyang;Na Na - 通讯作者:
Na Na
Cooperation Diversity for Secrecy Enhancement in Cognitive Relay Wiretap Network Over Correlated Fading Channels
相关衰落信道上认知中继窃听网络保密性增强的合作多样性
- DOI:
10.1109/access.2018.2837225 - 发表时间:
2018 - 期刊:
- 影响因子:3.9
- 作者:
Mu Li;Hao Yin;Yuzhen Huang;Yan Wang;Rui Yu - 通讯作者:
Rui Yu
Applying the chemical bonding theory of single crystal growth to a Gd3Ga5O12 Czochralski growth system: both thermodynamic and kinetic controls of themesoscale process during single crystal growth
将单晶生长的化学键合理论应用于 Gd3Ga5O12 直拉生长系统:单晶生长过程中尺度过程的热力学和动力学控制
- DOI:
10.1039/c5ce00291e - 发表时间:
2015 - 期刊:
- 影响因子:3.1
- 作者:
Yan Wang;Congting Sun;Chaoyang Tu;Dongfeng Xue - 通讯作者:
Dongfeng Xue
Yan Wang的其他文献
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{{ truncateString('Yan Wang', 18)}}的其他基金
Spatial Explanation and Planning for Resilience of Community-Based Small Businesses to Environmental Shocks
基于社区的小型企业对环境冲击的抵御能力的空间解释和规划
- 批准号:
2316450 - 财政年份:2023
- 资助金额:
$ 32.58万 - 项目类别:
Standard Grant
Collaborative Research: III: Small: Efficient and Robust Multi-model Data Analytics for Edge Computing
协作研究:III:小型:边缘计算的高效、稳健的多模型数据分析
- 批准号:
2311597 - 财政年份:2023
- 资助金额:
$ 32.58万 - 项目类别:
Standard Grant
Collaborative Research: Cross-plane Heat Conduction in 2D Materials under Large Compressive Strain
合作研究:大压缩应变下二维材料的横向热传导
- 批准号:
2211696 - 财政年份:2022
- 资助金额:
$ 32.58万 - 项目类别:
Standard Grant
CAREER: Efficient Mobile Edge Oriented Deep Learning Framework
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- 批准号:
2145389 - 财政年份:2022
- 资助金额:
$ 32.58万 - 项目类别:
Continuing Grant
Collaborative Research: CCRI: New: Nation-wide Community-based Mobile Edge Sensing and Computing Testbeds
合作研究:CCRI:新:全国范围内基于社区的移动边缘传感和计算测试平台
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2120276 - 财政年份:2021
- 资助金额:
$ 32.58万 - 项目类别:
Standard Grant
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职业:晶格热传输波性质的基础研究
- 批准号:
2047109 - 财政年份:2021
- 资助金额:
$ 32.58万 - 项目类别:
Continuing Grant
SCC-PG: SmartCurb: Building Smart Urban Curb Environments
SCC-PG:SmartCurb:构建智能城市路缘环境
- 批准号:
2124858 - 财政年份:2021
- 资助金额:
$ 32.58万 - 项目类别:
Standard Grant
RII Track-4: Low-temperature Laser Sintering and Melting of Semiconductors Through Selective Excitation of Soft Phonons
RII Track-4:通过软声子的选择性激发实现半导体的低温激光烧结和熔化
- 批准号:
2033424 - 财政年份:2021
- 资助金额:
$ 32.58万 - 项目类别:
Standard Grant
RAPID: Dynamic Interactions between Human and Information in Complex Online Environments Responding to SARS-COV-2
RAPID:复杂在线环境中人与信息之间的动态交互,应对 SARS-COV-2
- 批准号:
2028012 - 财政年份:2020
- 资助金额:
$ 32.58万 - 项目类别:
Standard Grant
Collaborative Research: PPoSS: Planning: Hardware-accelerated Trustworthy Deep Neural Network
合作研究:PPoSS:规划:硬件加速的可信深度神经网络
- 批准号:
2028858 - 财政年份:2020
- 资助金额:
$ 32.58万 - 项目类别:
Standard Grant
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