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Machine learning optimal ordering in global routing problems in semiconductors

Machine learning optimal ordering in global routing problems in semiconductors

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_baac786bf7874d20847a846eb9f2dc86

Machine learning optimal ordering in global routing problems in semiconductors

About this item

Full title

Machine learning optimal ordering in global routing problems in semiconductors

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2024-12, Vol.14 (1), p.31077-17, Article 31077

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

In this work, we propose a new method for ordering nets during the process of layer assignment in global routing problems. The global routing problems that we focus on in this work are based on routing problems that occur in the design of substrates in multilayered semiconductor packages. The proposed new method is based on machine learning techniq...

Alternative Titles

Full title

Machine learning optimal ordering in global routing problems in semiconductors

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_baac786bf7874d20847a846eb9f2dc86

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_baac786bf7874d20847a846eb9f2dc86

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-82226-9

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