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机译:通过自然启发算法对多芯片PDN进行去耦电容布置
UAq EMC Laboratory, Department of Industrial and Information Engineering and Economics, University of L'Aquila, L'Aquila, Italy;
UAq EMC Laboratory, Department of Industrial and Information Engineering and Economics, University of L'Aquila, L'Aquila, Italy;
UAq EMC Laboratory, Department of Industrial and Information Engineering and Economics, University of L'Aquila, L'Aquila, Italy;
UAq EMC Laboratory, Department of Industrial and Information Engineering and Economics, University of L'Aquila, L'Aquila, Italy;
Biological cells; Capacitors; Impedance; Genetic algorithms; Cost function; Integrated circuit modeling; Through-silicon vias;
机译:基于遗传算法的去耦电容器的多引脚优化方法
机译:通过多层PCB PDN的布局分析去耦电容器电源接地
机译:基于片上去耦电容器模型的基于TSV的PDN系统各种堆叠拓扑的多层研究
机译:增强模具PDN,以实现具有去耦电容的包装PDN的最佳用途
机译:通过自然启发的优化算法进行新颖的元表面设计综合。
机译:最近的神经工程自然启发算法的进展
机译:31.2使用遗传算法和M-FDM自动封装和电路板去耦电容放置