A Design of Source-Switched Charge Pump Circuit with 65nm Technology by using Bayesian Optimization

Tran, Phuc Thanh; Hoang Luu, Long; Van Nguyen, Giang; Quoc Nguyen, Thang; Hoang, Trang

doi:10.1109/isee59483.2023.10299853

2023 International Symposium on Electrical and Electronics Engineering (ISEE) 2023

DOI: 10.1109/isee59483.2023.10299853

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A Design of Source-Switched Charge Pump Circuit with 65nm Technology by using Bayesian Optimization

Phuc Thanh Tran,

Long Hoang Luu,

Giang Van Nguyen

et al.

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2024

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Novel GA‐OCEAN Framework for Automatically Designing the Charge‐Pump Circuit

Hoang,

Nguyen,

Phan‐Tran‐Minh

2024

IEEJ Transactions Elec Engng

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In the realm of analog integrated circuit (IC) design, due to the intricate nonlinear relationships between circuit performance metrics and design variables, as well as the complex interdependencies and trade‐offs between various performance criteria, it is difficult to determine the appropriate geometric width and length of the circuit components to meet all performance specifications. This difficulty makes the task of designing analog IC challenging. To address the challenge of analog IC design, this paper introduces a machine learning methodology—specifically employing the genetic algorithm (GA)—to automate the selection of circuit components' geometrical parameters, aiding the work of analog circuit designers in determining the appropriate dimensions for transistors within the charge‐pump circuit. The GA, implemented in Python and integrated with a script program written in the OCEAN language, synergistically collaborates in the GA‐OCEAN framework. The result, which ensures compliance with all specifications with remarkably low error margins, ranging as low as 0.03% and as high as 1.24%, highlights the proposed GA‐OCEAN framework's remarkable capacity to determine optimal dimensions for components inside the charge‐pump circuit. © 2024 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

show abstract

Novel GA‐OCEAN Framework for Automatically Designing the Charge‐Pump Circuit

Hoang,

Nguyen,

Phan‐Tran‐Minh

2024

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

show abstract

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A Design of Source-Switched Charge Pump Circuit with 65nm Technology by using Bayesian Optimization

Cited by 1 publication

References 23 publications

Novel GA‐OCEAN Framework for Automatically Designing the Charge‐Pump Circuit

Novel GA‐OCEAN Framework for Automatically Designing the Charge‐Pump Circuit

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