Evidence map›Paper›PMID 39734517›Full record

ReviewFundamental research2024

The application of multi-scale simulation in advanced electronic packaging.

Wei Yu, Shucan Cheng, Zeyuan Li, Li Liu, Zhaofu Zhang, Yanpu Zhao, Yuzheng Guo, Sheng Liu

Abstract readReview
In one paragraph

Review in Fundamental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Wei YuSchool of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China.
Shucan ChengSchool of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China.
Zeyuan LiSchool of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China.
Li LiuSchool of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China.
Zhaofu ZhangThe Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.
Yanpu ZhaoSchool of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China.
Yuzheng GuoSchool of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China.
Sheng LiuSchool of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electronic packaging is an essential branch of electronic engineering that aims to protect electronic, microelectronic, and nanoelectronic systems from environmental conditions. The design of electronic packaging is highly complex and requires the consideration of multi-physics phenomena, such as thermal transport, electromagnetic fields, and mechanical stress. This review presents a comprehensive overview of the multiphysics coupling of electric, magnetic, thermal, mechanical, and fluid fields, which are crucial for assessing the performance and reliability of electronic devices. The recent advancements in multi-scale simulation techniques are also systematically summarized, such as finite element methods at the macroscopic scale, molecular dynamics and density functional theory at the microscopic scale, and particularly machine learning methods for bridging different scales. Additionally, we illustrate how these methods can be applied to study various aspects of electronic packaging, such as material properties, interfacial failure, thermal management, electromigration, and stress analysis. The challenges and the potential applications of multi-scale simulation techniques in electronic packaging are also highlighted. Further, some future directions for multi-scale simulation techniques in electronic packaging are concluded for further investigation.

Indexed as

Advanced electronic packagingElectronic devicesMachine learning methodsMultiphysics couplingMulti-scale simulation

Identifiers

PMID39734517
PMCPMC11670725

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.