arXiv Machine Learning By Jinglin Yu, Feiyang Wu, Longying Wen, Chongxian Yuan, Renjie Li, Zhaoyu Zhang

Reliability-Aware Bayesian Optimization of 1310 nm PCSELs with FDTD Verification

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arXiv:2607. 21772v1 Announce Type: cross Abstract: Near 1310 nm photonic-crystal surface-emitting lasers (PCSELs) are attractive narrow-beam sources for optical communication and sensing, but their final design refinement is costly.

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arXiv Machine Learning
Jun 3

Will Accurate Fields Mislead Photonic Design? FromGlobal Accuracy to Port Readout

arXiv:2606. 03038v1 Announce Type: new Abstract: Neural field surrogates can accelerate photonic design loops, but a surrogate that looks accurate in global field error can still mis-rank candidate devices when the final decision depends on localized output-port readouts.

By Yitian Zhang, Yonghong chen, Youming Chen, Yiyang Li, Xing Zhe, Renhe Lu, Shaolin Liao, Yuzhe Ma, Zhong Guan
arXiv Machine Learning
Aug 20

A FEM-Based Surrogate Modelling and Optimization Framework for Physics-Constrained Electromagnetic Coil Design

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By Yucheng Liu
arXiv Machine Learning
Aug 4

Constrained Co-Design for Photonic Bayesian Neural Networks

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