Overseas Travel Grant: Focussed Challenges in Feature Selective Validation, FSV. (OASIS)

电磁仿真用于设计和分析从集成电路到飞机等系统。该项目特别感兴趣的是使用电磁仿真来支持电磁兼容性，EMC，研究（系统通过场耦合和传输线相互作用的方式）和信号完整性和电源完整性，SIPI，（通常影响印刷电路板或集成电路系统中数字信号的质量）。这种模拟有着广泛的用途，例如，它将识别系统的一部分是否会对系统的另一部分造成干扰，电子信号是否会以设计师想要的方式运行，或者了解如果闪电击中飞行中的飞机会发生什么。为了做这些事情，那些依赖结果的人必须对模拟的输出有信心。这可能是对求解器的信心，但更常见的是对实现的信心。正确编写的模拟工具总是会对他们被问到的问题给出正确的答案;但重要的是他们被问到了正确的问题。这种对工具和实施的信任的发展涉及确认和核查。有有限的方法和算法在常用的，以提供定量的支持，在验证过程中，与主观的方法，如“目测”图仍然是普遍的。在EMC中使用最广泛的一种方法是由PI和他的同事开发的功能选择验证（FSV）技术。随着软件质量的提高，计算能力的性能提高以及对数据丰富的分析需求的发展，FSV必须得到增强，以适应这些变化并预测未来几年社区的需求。这项旅行补助金提供支持，以记录这些行业的需求，这些行业本身就要求模拟开发人员进行改进。这些信息将与来自英国互补公司的信息相结合，为FSV的发展制定路线图，沿着产生解决紧迫问题的其他可能的产出。该路线图将用于指导PI的研究，但也为其他研究和行业团体提供了一个起点，以构建适合EMC和SIPI电磁仿真新兴需求的验证工具。

Electromagnetic simulation is used in designing and analyzing systems ranging from integrated circuits to aircraft. This project is particularly interested in the use of electromagnetic simulation to support electromagnetic compatibility, EMC, studies (the way systems interact through the coupling of fields and on transmission lines) and signal integrity and power integrity, SIPI, (affecting the quality of digital signals usually in printed circuit boards or integrated circuit systems). Such simulation has a vast array of purposes, for example, it will look to identify whether one part of the system will cause interference with another part of the system, that electronic signals actually behave in the way that the designers want or to understand what happens if lightning strikes an aircraft in flight. In order to do any of these things, those relying on the results must be confident in the output of the simulations. This might be confidence in the solver but more often confidence in the implementation. Properly written simulation tools will always give the right answer to the question they have been asked; but the important thing is have they been asked the right question. This development of confidence in the tools and implementation involves validation and verification. There are limited methods and algorithms in common use, to provide quantitative support in that validation process, with subjective approaches such as 'eyeballing' graphs still being widespread. One approach that has been most widely used in EMC is the Feature Selective Validation (FSV) technique, developed by the PI and his co-workers. As the quality of software improves, the performance of the computing power increases and the demands on data-rich analysis evolve, it is important that FSV is enhanced to adapt to those changes and anticipate the needs of the community in the coming years. This travel grant provides support to document those needs with industries that themselves challenge the simulation developers for enhancements. This information will be combined with information from complementary companies in the UK to produce a roadmap for developments in FSV, along with generating other possible outputs addressing immediate issues. This roadmap will be used to guide the research of the PI but also provide a starting point for other research and industry groups to build a validation tool suitable for emerging needs in EMC and SIPI electromagnetic simulation.