Yintang Yang

TL;DR: In this article , the authors systematically summarized the neural network methods applied in the prediction of microsystem signal integrity performance, including artificial neural network (ANN), deep neural network(DNN), RNN, CNN, and RNN-RNN, as well as intelligent algorithms, including genetic algorithm (GA), differential evolution (DE), deep partition tree Bayesian optimization (DPTBO), two stage Bayesian Optimization (TSBO), etc., and compares and discusses the characteristics and application fields of the current applied methods.

TL;DR: In this paper, a-C:F films were deposited at room temperature using C 4 F 8 and CH 4 as precursor gases by electron cyclotron resonance chemical vapour deposition (ECR-CVD).

TL;DR: In this article , a novel EOPLL of FMCW LiDAR is proposed to eliminate the influence of temperature, process, and voltage (PVT) on the laser, and a Harmonic Reduction Mixer (HRM) with better rejection and LIC for improved eOPLL settling time are proposed.

TL;DR: In this paper, a defected microstrip structure (DMS) is proposed for analogue beamforming, which has a phase shift of 15° with insertion losses below 0.5 dB at 5.2 GHz.

TL;DR: In this paper , the authors proposed an automatic multifocal beamforming method, which is implemented using a four-step phase metasurface, which improves the transmission efficiency of acoustic waves as a matching layer and enhances the focusing efficiency at the target focal position.