S2GA-VM: self-supervised and global-aware virtual metrology for accurate film thickness prediction in semiconductor manufacturing
Crossref DOI link: https://doi.org/10.1007/s10845-025-02683-5
Published Online: 2025-09-30
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Xie, Weiping https://orcid.org/0009-0006-8541-0499
Wu, Jiangchen
Wang, Yuping
Chen, Yining https://orcid.org/0000-0001-9302-6696
Text and Data Mining valid from 2025-09-30
Version of Record valid from 2025-09-30
Article History
Received: 19 April 2025
Accepted: 26 August 2025
First Online: 30 September 2025