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Updated: Jan 16, 2026

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
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机器学习增强了多连接光子功率转换器的设计和知识发现

Robert F H Hunter1, Gavin P Forcade2, Yuri Grinberg3

  • 1SUNLAB, Nexus for Quantum Technologies Institute, University of Ottawa, Ottawa, ON, Canada. rhunt013@uottawa.ca.

Scientific reports
|September 26, 2025
PubMed
概括

机器学习,特别是主要组件分析,显著加速光电子设备的设计. 这种方法产生了20倍以上的最佳设计,降低了计算成本,并增强了对光学现象的理解.

关键词:
设计发现设计发现.缩小尺寸的缩小方式知识的发现知识的发现.机器学习 机器学习多连接光子功率转换器多连接光子功率转换器优化加速加速的优化

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