SOFT-PATTERN

软图案

基本信息

  • 批准号:
    EP/Y030559/1
  • 负责人:
  • 金额:
    $ 25.55万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Fellowship
  • 财政年份:
    2023
  • 资助国家:
    英国
  • 起止时间:
    2023 至 无数据
  • 项目状态:
    未结题

项目摘要

Although pattern formation in soft materials has been studied extensively due to its promising applications in multiple science and engineering fields, the mechanisms of pattern formation in many cases are still unclear due to the high nonlinearity of the governing equations induced by large deformations, for instance, localized ridges and complex 3D modes. For stiff thin layer coated to a thick substrate, an alternative approach is to derive reduced models for the system. However, most existing reduced models are not self*consistent and many nonlinear terms are neglected without proper justifications. This seriously hampers their validity and as a result the mathematical nature of the above mentioned modes and the effect of additional factors (material inhomogeneity and anisotropy) are not unveiled. The project SOFT-PATTERN is to overcome these challenges in an innovative and original way by developing mathematically consistent and accurate reduced models accounting for material and geometric nonlinearities. The research work will be approached from theoretical, numerical, and experimental aspects, based on the applicant's and the host laboratory's expertise. The exhaustive training programme will allow the applicant to grow as a world-class researcher in this field. The proposed research will foster further development in this direction and contribute to advanced and intelligent technologies of societal importance. The applicant is a Chinese national, with a solid background in applied mathematics and nonlinear elasticity trained in Hong Kong. He has published articles in high-impact factor journals, at the frontiers of applied mathematics and other disciplines, and has won two competitive grants from the National Natural Science Foundation of China, demonstrating independence and leadership in research. He is requesting funds for two years, to work with Prof. Alain Goriely FRS's team at Oxford. Three secondments at Keele, NUI Galway, and Cardiff are planned.
尽管软材料中的图案形成由于其在多个科学和工程领域中的有前途的应用而被广泛研究,但由于大变形引起的控制方程的高度非线性,例如局部脊和复杂的3D模式,在许多情况下图案形成的机制仍然不清楚。对于厚衬底上的刚性薄层,另一种方法是推导系统的简化模型。然而,大多数现有的简化模型是不自洽的,许多非线性项被忽略,没有适当的理由。这严重妨碍了它们的有效性,因此上述模式的数学性质和附加因素(材料不均匀性和各向异性)的影响没有被揭示。该项目的EQUIP-PATTERN是通过开发数学上一致的和准确的简化模型,考虑材料和几何非线性,以创新和原创的方式克服这些挑战。研究工作将从理论,数值和实验方面进行,基于申请人和主机实验室的专业知识。详尽的培训计划将使申请人成长为该领域的世界级研究人员。拟议的研究将促进这一方向的进一步发展,并为具有社会重要性的先进和智能技术做出贡献。申请人为中国公民,在香港接受过应用数学和非线性弹性方面的专业训练。他在高影响因子期刊上发表了应用数学和其他学科前沿的文章,并获得了中国国家自然科学基金的两项竞争性赠款,展示了研究的独立性和领导力。他正在申请两年的资金,与Alain Goriely FRS教授在牛津的团队合作。计划在基尔、努伊高威和卡迪夫借调三名人员。

项目成果

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会议论文数量(0)
专利数量(0)

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Yang Liu其他文献

Effects of rosemary extract supplementation in feed on growth performance, meat quality, serum biochemistry, antioxidant capacity, and immune function of meat ducks.
  • DOI:
    10.1016/j.psj.2022.102357
  • 发表时间:
    2023-02
  • 期刊:
  • 影响因子:
    4.4
  • 作者:
    Yuezhou Yao;Yang Liu;Chuang Li;Xuan Huang;Xu Zhang;Ping Deng;Guitao Jiang;Qiuzhong Dai
  • 通讯作者:
    Qiuzhong Dai
Estimating seismic demands of singly symmetric buildings by spectrum-based pushover analysis
通过基于频谱的 Pushover 分析估计单对称建筑的抗震需求
Modal‐based ground motion selection procedure for nonlinear response time history analysis of high‐rise buildings
用于高层建筑非线性响应时程分析的基于模态的地震动选择程序
In-situ one-step electrospray fabrication of polyvinylidene fluoride encapsulated CsPbBr3 spheres with high stability and cell imaging application
原位一步电喷雾制备高稳定性聚偏氟乙烯封装CsPbBr3球及其细胞成像应用
  • DOI:
    10.1016/j.inoche.2019.05.032
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Feng Wang;Hongye Wang;Asghar Ali;Yimeng Zhang;Xiaoqiang Cui;Yang Liu
  • 通讯作者:
    Yang Liu
Energy Balance Analysis and Control for the Energy Hole Problem in Wireless ad hoc Networks
无线自组织网络能量空洞问题的能量平衡分析与控制
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yinxiang Qu;Yifei Wei;Yang Liu;Mei Song;F. Richard Yu
  • 通讯作者:
    F. Richard Yu

Yang Liu的其他文献

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{{ truncateString('Yang Liu', 18)}}的其他基金

Development of the initial prototype of a pill sensor to detect colonic polyps and early bowel cancer
开发用于检测结肠息肉和早期肠癌的药丸传感器的初始原型
  • 批准号:
    MR/Y503411/1
  • 财政年份:
    2024
  • 资助金额:
    $ 25.55万
  • 项目类别:
    Research Grant
ERI: Understanding the Dynamic and Thermal Behaviors of Colloidal Droplets Toward a Novel Freezing-based Inkjet Printing Concept
ERI:了解胶体液滴的动态和热行为,以实现基于冷冻的新型喷墨打印概念
  • 批准号:
    2138214
  • 财政年份:
    2022
  • 资助金额:
    $ 25.55万
  • 项目类别:
    Standard Grant
ERI: Understanding the Dynamic and Thermal Behaviors of Colloidal Droplets Toward a Novel Freezing-based Inkjet Printing Concept
ERI:了解胶体液滴的动态和热行为,以实现基于冷冻的新型喷墨打印概念
  • 批准号:
    2242311
  • 财政年份:
    2022
  • 资助金额:
    $ 25.55万
  • 项目类别:
    Standard Grant
CAREER: Human-Centered Machine Learning: Robustness, Fairness and Dynamics
职业:以人为本的机器学习:稳健性、公平性和动态性
  • 批准号:
    2143895
  • 财政年份:
    2022
  • 资助金额:
    $ 25.55万
  • 项目类别:
    Continuing Grant
FAI: Fairness in Machine Learning with Human in the Loop
FAI:机器学习中人的参与的公平性
  • 批准号:
    2040800
  • 财政年份:
    2021
  • 资助金额:
    $ 25.55万
  • 项目类别:
    Standard Grant
When a Micro-Robot Encounters a Bowel Lesion
当微型机器人遇到肠道病变时
  • 批准号:
    EP/V047868/1
  • 财政年份:
    2021
  • 资助金额:
    $ 25.55万
  • 项目类别:
    Research Grant
Collaborative Research: RI: Small: Wisdom of Crowds with Machines in the Loop
合作研究:RI:小型:循环中机器的群体智慧
  • 批准号:
    2007951
  • 财政年份:
    2020
  • 资助金额:
    $ 25.55万
  • 项目类别:
    Standard Grant
Semi-Parametric Factor Analysis for Item Responses and Response Times
项目响应和响应时间的半参数因子分析
  • 批准号:
    1826535
  • 财政年份:
    2019
  • 资助金额:
    $ 25.55万
  • 项目类别:
    Standard Grant
Utilising the Vibro-Impact Self-Propulsion Technique for Gastrointestinal Endoscopy
利用振动冲击自推进技术进行胃肠内窥镜检查
  • 批准号:
    EP/R043698/1
  • 财政年份:
    2018
  • 资助金额:
    $ 25.55万
  • 项目类别:
    Research Grant
Controlling Multistability in Vibro-Impact Systems: Theory and Experiment
控制振动冲击系统的多稳定性:理论与实验
  • 批准号:
    EP/P023983/1
  • 财政年份:
    2017
  • 资助金额:
    $ 25.55万
  • 项目类别:
    Research Grant

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