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English(EN) Reliability-Aware Bayesian Optimization of 1310 nm PCSELs with FDTD Verification

贝叶斯优化改进 PCSEL 设计以用于光通信

研究人员开发了一种可靠性感知的贝叶斯优化方法,以改进 1310 nm 光子晶体表面发射激光器 (PCSELs) 的设计。该方法将有限差分时域求解器与贝叶斯优化循环耦合,在每次模拟后更新代理模型以选择下一个几何形状。该方法将波长和光束质量要求与经过可靠性调整的指标相结合,与传统的差分进化和拉丁超立方采样等方法相比,显著提高了高 Q 值 PCSEL 候选的产量。 AI

影响 这种优化技术有望为通信和传感系统带来更高效、更可靠的光学元件。

排序理由 该集群包含一篇详细介绍一种新型激光器优化方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.LG 阅读 →

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贝叶斯优化改进 PCSEL 设计以用于光通信

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该集群包含一篇详细介绍一种新型激光器优化方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Jinglin Yu, Feiyang Wu, Longying Wen, Chongxian Yuan, Renjie Li, Zhaoyu Zhang ·

    面向1310 nm PCSELs的可靠性感知贝叶斯优化及FDTD验证

    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. Small geometry changes simultaneously shift the …