CAREER: Branch-Following and Bifurcation Methods to Identify Active Materials for Tomorrow's Sensors and Actuators
CAREER: Branch-Following and Bifurcation Methods to Identify Active Materials for Tomorrow's Sensors and Actuators
批准号:
0746628
负责人:
Ryan Elliott
金额:
$40.23万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-01-01 至 2013-12-31
中文摘要
该学院早期职业发展(Career)奖旨在研究一个关键问题,目前限制了新型传感器/执行器应用中活性材料的技术使用,即缺乏准确的分析和设计工具。该项目的总体目标是开发和验证一种分支跟踪和分岔计算方法,该方法能够系统地绘制出新传感器材料的主动行为。新的原子材料模型将被开发用于活性材料行为和计算分支跟踪和分岔(BFB)方法,专门用于研究晶体材料,将被创建。这些模型和方法将能够揭示负责主动行为的晶格级机制。新技术将与最近获得的形状记忆合金NiTi及其三元合金的实验数据进行验证。该项目的结果将包括创建新的计算方法,用于准确建模和询问活性材料的自由能景观,并最终导致开发一种成熟而强大的活性材料设计技术。这项工作有望为控制活性材料行为的基本原理提供新的视角。此外,该项目将为研究生和本科生提供个人培训。将建立一个网站,使这项工作的结果可以广泛地获得,并鼓励个人计划和对类似问题感兴趣的其他研究小组之间发展新的互动和合作。最后,PI将把研究成果整合到本科和研究生课程中。
英文摘要
This Faculty Early Career Development (CAREER) award proposes to research a critical problem currently limiting the technological use of active materials for novel sensor/actuator applications is the lack of accurate analysis and design tools. The overall objective of this project is to develop and validate a branch-following and bifurcation computational methodology capable of systematically mapping out the active behavior of new sensor materials.New atomistic material models will be developed for active material behavior and computational branch-following and bifurcation (BFB) methods, adapted specifically for studying crystalline materials, will be created. These models and methods will be capable of revealing the lattice-level mechanisms responsible for active behavior. The new techniques will be validated against recently obtained experimental data for the shape memory alloy NiTi and its ternary alloys. The results of this project will include the creation of new computational methods for accurately modeling and interrogating the free energy landscape of active materials and will ultimately result in the development of a mature and robust technology for the design of active materials.This work is expected to provide a fresh perspective on the fundamental principles governing the behavior of active materials. In addition, this project will provide individual training for both graduate and undergraduate students. A web-site will be created to make the results of this work broadly accessible and to encourage the development of new interactions and collaborations between the PI and other research groups interested in similar problems. Finally, the PI will integrate research results into the undergraduate and graduate curriculum.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Understanding and Creating Switchable Many-State Architectured Materials Through the Exploitation of Nonlinear Post-Buckling Behavior
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批准号:1462826
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项目类别:Standard Grant
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资助金额:$28.36万
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财政年份:2015
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负责人:Ryan Elliott
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依托单位:
海外基金