课题基金 / 基金详情

Multi-Dimensional Computation of Electronic Properties of Semiconductor Microstructures of High Performance Heterojunction Devices

Multi-Dimensional Computation of Electronic Properties of Semiconductor Microstructures of High Performance Heterojunction Devices
高性能异质结器件半导体微结构电子特性的多维计算
批准号:
9120641
负责人:
Umberto Ravaioli
金额:
$45.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1992
资助国家:
美国
项目状态:
已结题
起止时间:
1992-03-15 至 1996-02-29

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
纳米电子器件的行为是 受量子效应影响很大; 切换可以由以下事件的过境触发: 只有几个电子在传导通道中; 结构可以如此紧密地堆积在一个 电路,不仅设备-设备交互 是不可忽略的,甚至可以被利用 创造新的功能。 量子光学模拟 这些新设备的特点是相当 挑战,因为困难, 制定和数字化实施 可管理的物理模型。 在这 跨学科的建议,计算 需要工程专业知识的问题, 物理学、计算机科学和应用 数学将得到解决。大规模 优化数值算法, 在超级计算机上高效地实现。 根据以前开发的二维软件 量子线分析的资助期 结构将扩展为工程 具有用户友好界面的工具。 全 的自洽求解器的扩展 耦合薛定谔和泊松方程, 三个维度将被执行。 最后, 先进的图形技术, 三维数据表示将是 采用动画制作, 录像技术。
英文摘要
The behavior of nanoelectronic devices is strongly influenced by quantum effects; switching may be triggered by the transit of just several electrons in a conduction channel; and structures may be so closely packed in a circuit that not only device-device interactions are not negligible, but could even be exploited to create new functions. The simulation of quantum and optical features of these novel devices is quite challenging, because of the difficulty in formulating and numerically implementing manageable physical models. In this interdisciplinary proposal the computational problems that require expertise in engineering, physics, computer science and applied mathematics will be addressed. The large scale numerical algorithms are optimized and implemented efficiently on supercomputers. The 2-D software developed under previous grant period for the analysis of quantum wire structures will be extended into an engineering tool with user friendly interface. A full extension of the self-consistent solver for the coupled Schrodinger and Poisson equations to three-dimensions will be carried out. Finally, advanced graphics techniques for multi- dimensional data representation will be developed employing animation and videorecording techniques.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis