A Data-Driven Approach to Collaborative Optimization for Enhancing TSV Multiphysics Performance

The through-silicon via (TSV) technology, due to its fine feature dimensions and high operating frequency, introduces complexity in performance analysis. Traditional analytical methods can become unrealistic when confronting the multiple considerations of thermomechanical and signal transmission characteristics. This article introduces a collaborative optimization framework incorporating the multioutput multifidelity surrogate model (MOMFSM) with a multiobjective optimizer. This framework aims to accelerate TSV structure design accounting for the multiphysics effect with low computational demand and uncompromised accuracy. The MOMFSM improves predictive accuracy by capturing the correlations between various physical outputs of TSV and fuses data of different fidelities, reducing reliance on high-fidelity (HF) data. Employing the rapid and precise MOMFSM, thermal stress and S-parameters distributions in TSV were simulated and used as analytical functions for design objectives. The multiobjective optimizer conducts an efficient multiphysics collaborative optimization, yielding a set of nondominated optimization solutions. The technique for order preference by similarity to an ideal solution (TOPSIS) was employed to derive the best compromise solution (BCS) from these options. The results indicate that the thermal stress in TSV interconnection was reduced from 690.3 to 635.4 MPa, the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$S_{11}$ </tex-math></inline-formula> at 30 GHz decreased from −26.29 to −39.93 dB, and the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$S_{21}$ </tex-math></inline-formula> at 30 GHz increased from −0.646 to −0.443 dB. This study, moreover, provides valuable insights for the comprehensive enhancement of TSV multiphysics performance and offers robust support for integrated circuit (IC) interconnection design.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Components Packaging and Manufacturing Technology
Published
2024-12-26
DOI
https://doi.org/10.1109/tcpmt.2024.3522315
Citations
3
Primary Topic
3D IC and TSV technologies
Type
article
Field-Weighted Citation Impact
0.63

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Data-Driven Approach to Collaborative Optimization for Enhancing TSV Multiphysics Performance

Congsi Wang, Xueguan Song, Shaoyi Liu, Zhihai Wang et al.
3 citations
IEEE Transactions on Components Packaging and Manufacturing Technology
3D IC and TSV technologies
0.63
article

A Data-Driven Approach to Collaborative Optimization for Enhancing TSV Multiphysics Performance

Congsi Wang, Xueguan Song, Shaoyi Liu, Zhihai Wang, Jianlun Huang, Hao Wang
article en
3 citations

Abstract

The through-silicon via (TSV) technology, due to its fine feature dimensions and high operating frequency, introduces complexity in performance analysis. Traditional analytical methods can become unrealistic when confronting the multiple considerations of thermomechanical and signal transmission characteristics. This article introduces a collaborative optimization framework incorporating the multioutput multifidelity surrogate model (MOMFSM) with a multiobjective optimizer. This framework aims to accelerate TSV structure design accounting for the multiphysics effect with low computational demand and uncompromised accuracy. The MOMFSM improves predictive accuracy by capturing the correlations between various physical outputs of TSV and fuses data of different fidelities, reducing reliance on high-fidelity (HF) data. Employing the rapid and precise MOMFSM, thermal stress and S-parameters distributions in TSV were simulated and used as analytical functions for design objectives. The multiobjective optimizer conducts an efficient multiphysics collaborative optimization, yielding a set of nondominated optimization solutions. The technique for order preference by similarity to an ideal solution (TOPSIS) was employed to derive the best compromise solution (BCS) from these options. The results indicate that the thermal stress in TSV interconnection was reduced from 690.3 to 635.4 MPa, the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$S_{11}$ </tex-math></inline-formula> at 30 GHz decreased from −26.29 to −39.93 dB, and the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$S_{21}$ </tex-math></inline-formula> at 30 GHz increased from −0.646 to −0.443 dB. This study, moreover, provides valuable insights for the comprehensive enhancement of TSV multiphysics performance and offers robust support for integrated circuit (IC) interconnection design.

IEEE Transactions on Components Packaging and Manufacturing TechnologyVol. 15(2)
Xidian University (CN), Hefei Cement Research Design Institute (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, National Defense Basic Scientific Research Program of China
Openalex Percentile: Top 30%
3D IC and TSV technologies
0.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.