Neuro-space mapping modeling technologies and engines for design of high-frequency components and communication subsystems

该建议是建立在最近的突破，在高频计算机辅助设计，即神经空间映射。结合神经网络建模和空间映射优化的力量，神经空间映射为更大，更基础的技术打开了大门。它正在成为一个合乎逻辑的答案，在建模和设计优化的RF/微波和毫米波组件和通信网络中的多千兆电子封装的高频效应日益增长的挑战，拟议的研究将创造新兴的神经空间映射技术的临界质量。利用电磁/物理建模和快速/近似建模之间的创新映射，我们的目标是以比今天更高的精度，速度和规模实现设计解决方案。该研究将统一广泛的建模技术，从一般的黑盒到准确的特定于应用程序的建模，从基于数据的分析/紧凑建模，从粗到精建模。我们将开发全面的框架，为计算机辅助建模和设计的新时代奠定基础，包括在电路和系统层面以EM/物理精度进行成品率/可制造性驱动的设计优化，这是当今技术无法实现的任务。我们的工作将在数学和工业验证的工程建模和优化方面建立一个新的艺术状态。通过解决高频挑战，它有助于推动通信系统的带宽限制。新的计算机辅助建模代替传统的试错建模，加速了新兴设备在通信系统设计中的应用。这项工作将与加拿大工业界密切互动，加强加拿大在下一代通信网络方面的竞争力。

The proposal is built on a recent breakthrough in high-frequency computer-aided design, namely neuro-space mapping. Combining the powers of neural network modeling and space mapping optimization, neuro-space mapping opens the door for a larger and more fundamental technology. It is becoming a logical answer to the growing challenges in modeling and design optimization of high-frequency effects in RF/microwave and millimeter-wave components and multi-gigabit electronic packages in communication networks.The proposed research will create the critical mass for the emerging neuro-space mapping technology. Exploiting innovative mappings between electromagnetic/physics-based modeling and fast/approximate modeling, we aim to achieve design solutions at much higher levels of accuracy, speed and scale than possible today. The research will unify a wide spectrum of modeling techniques from general black-box to accurate application-specific modeling, from data-based to analytical/compact modeling, and from coarse to fine modeling. Comprehensive frameworks will be developed to serve as the foundation for a new era of computer-aided modeling and design, including yield/manufacturability-driven design optimization with EM/physics accuracy at circuit and system levels, a task beyond the reach of today's technology.Our work will establish a new state of the art in mathematically- and industrially-validated engineering modeling and optimization. By addressing high-frequency challenges, it contributes to pushing bandwidth limits in communication systems. The new computer-aided modeling in place of conventional trial-and-error modeling accelerates the application of new and emerging devices in the design of communication systems. The work will be carried out in close interaction with Canadian industry, strengthening Canadian competitiveness in next generation communication networks.