摘要：The research on nanophotonic devices has made great progress during the past decades. It is the unremitting pursuit of researchers that realize various device functions to meet practical applications. However, most of the traditional methods rely on human experience and physical inspiration for structural design and parameter optimization, which usually require a lot of resources, and the performance of the designed device is limited. Intelligent algorithms, which are composed of rich optimized algorithms, show a vigorous development trend in the field of nanophotonic devices in recent years. The design of nanophotonic devices by intelligent algorithms can break the restrictions of traditional methods and predict novel configurations, which is universal and efficient for different materials, different structures, different modes, different wavelengths, etc. In this review, intelligent algorithms for designing nanophotonic devices are introduced from their concepts to their applications, including deep learning methods, the gradient-based inverse design method, swarm intelligence algorithms, individual inspired algorithms, and some other algorithms. The design principle based on intelligent algorithms and the design of typical new nanophotonic devices are reviewed. Intelligent algorithms can play an important role in designing complex functions and improving the performances of nanophotonic devices, which provide new avenues for the realization of photonic chips.

摘要：以公路隧道环境及节能问题作为研究目标。首先对公路隧道通风系统的模拟仿真过程和节能评估体系进行了研究。以公路隧道内的CO污染物为控制参数,采用k-ε双方程紊流模型及组分传输方程组,采用UDF技术(User-Defined Function)对隧道通风系统的直接控制法和模糊控制法进行编写用户程序并进行模拟,模拟结果表明,与传统的直接控制法相比,模糊控制法不仅节能,且风机的寿命更长。研究成果能够用于隧道不同通风策略的优化设计及风机控制策略的节能评估。