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Material World Network: Understanding and Exploiting Mixed-Mode Ultra-Fast Optical-Electrical Behavior in Nanoscale Phase Change Materials

Material World Network: Understanding and Exploiting Mixed-Mode Ultra-Fast Optical-Electrical Behavior in Nanoscale Phase Change Materials
材料世界网络:理解和利用纳米级相变材料中的混合模式超快光电行为
批准号:
1210503
负责人:
Ritesh Agarwal
金额:
$36.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-01 至 2016-08-31

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中文摘要
翻译
技术总结这个材料世界网络项目的目标是全面研究光电混合相变相变材料的材料性质。Ge-Sb-Te合金记忆存储的基本原理是可逆的晶态到非晶态的相变,这种相变与光学反射率和电阻率的显著变化有关。虽然光学和电学机制已经被独立研究,但还没有关于混合模式操作的工作,即在光学上切换材料而在电学上探测它,反之亦然。然而,这对于从光学选通超快晶体管到非冯-诺伊曼算术处理等一系列潜在的改变游戏规则的应用来说是极其重要的。美国、英国和德国的PI之间的合作将专注于研究混合模式下的基本相位切换特性,通过对电子相变的动态光学探测来阐明相变机制,并探索最适合于非传统未来算术处理器的材料。这项工作将包括相变纳米线新组合物的生长和表征,将被电学探测的光脉冲诱导开关,以及对纳米线中混合模式操作的与尺寸和成分相关的详细研究。非技术摘要目前用于计算机体系结构的冯·诺伊曼计算模型利用了处理、逻辑和存储器分开的设计。尽管这种设计在今天的计算机上非常成功,但显然有必要超越冯·诺伊曼的模式,以跟上对速度更快、具有前所未有能力的计算机日益增长的需求。将光激励的算术处理能力与电子存储器结合在一个公共平台上是超越传统计算机体系结构的一种可能的解决方案,而相变材料在这方面非常有前途。这个材料世界网络项目计划首次研究相变材料的光电混合模式行为。尽管这些材料的显著性质使它们在存储器件中获得了商业上的成功,但支配它们在晶态和非晶态之间相变的基本材料性质仍然非常未知。该项目将为光激发如何影响这些材料的电学行为提供基本和新颖的见解,反之亦然。这项研究试图在三个参与国的个人投资机构之间转移最佳实践。这项工作的结果将极大地影响使用算术处理技术的非冯诺依曼计算的发展,这些技术可以为我们所知的计算带来革命性的变化。研究和教育活动将通过本科生参与研究计划、将新的研究成果纳入教学模块以及培训来自三个国家当地学区的高中教师来整合。此外,国际合作机会将使学生有机会花时间在另一个实验室,并将提供一个独特的机会,以追求前沿研究跨越国界。该项目由电子和光子材料计划和特别计划办公室,材料研究部支持。
英文摘要
TECHNICAL SUMMARYThe objective of this Materials World Network project is to investigate comprehensively the material properties of phase change materials in mixed optical-electrical phase transitions. The underlying principle of memory storage in Ge-Sb-Te alloys is reversible crystalline to amorphous phase transitions that are associated with significant changes in optical reflectivity and electrical resistivity. Although the optical and electrical mechanisms have been independently investigated, there is no work done on the mixed-mode operation, i.e. switching the material optically while probing it electrically and vice-versa. This is however extremely important for a host of potentially game-changing applications ranging from optically gated ultra-fast transistors to non-von-Neumann arithmetic processing. This collaboration between PIs in US, UK and Germany will focus on investigating fundamental phase switching properties in mixed-mode, elucidating phase change mechanisms via dynamic optical probing of electrical phase transitions, and exploring the materials best suited for unconventional future arithmetic processors. The work will involve growth and characterization of new compositions of phase change nanowires, optical pulse induced switching which will be probed electrically, and detailed size- and composition-dependent studies of mixed mode operation in nanowires.NON-TECHNICAL SUMMARYThe von Neumann model of computing, which is currently used in computer architecture, utilizes designs with separate divisions for processing, logic and memory. Although this design has been highly successful for today's computers, there is clearly a need to go beyond von Neumann's model to keep up with the ever-increasing demand for faster computers with unprecedented capabilities. Combining arithmetic processing capabilities via optical excitation with electronic memory on a common platform is one possible solution to go beyond the conventional computer architecture and phase change materials are very promising in this regard. This Materials World Network project plans to study for the first time the optical-electrical mixed mode behaviour of phase change materials. Although the remarkable properties of these materials have made them commercially successful in memory devices, the fundamental material properties that govern their phase transitions between crystalline and amorphous states are still quite unknown. The project will provide fundamental and novel insights into how the electrical behaviour of these materials is influenced by optical excitation and vice versa. The research seeks to transfer best practises between PIs in three participating countries. The results of this work will greatly impact the development of non-von Neumann computing using arithmetic processing techniques that can revolutionize computing as we know it. Research and educational activities will be integrated by the involvement of undergraduates in the research program; incorporating new research results in the teaching module, and training high school teachers from the local school districts in three countries. In addition, international collaborative opportunities will give students opportunities to spend time in another laboratory and will provide a unique opportunity to pursue cutting edge research across national boundaries.This project is supported by the Electronic and Photonic Materials program and Office of Special Programs, Division of Materials Research.
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  • 项目类别:
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