An AI pipeline combining document parsing, curve digitization, and an iterative Bayesian optimizer converts PDF datasheets into ASM-HEMT SPICE models automatically, with reported fitting errors of 1.2 to 4.9 percent on 17 commercial HEMT devices from 10 manufacturers.
Semi -physical nonlinear circuit model with device/physical parameters for HEMTs,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.AR 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Automated HEMT Model Construction from Datasheets via Multi-Modal Intelligence and Prior-Knowledge-Free Optimization
An AI pipeline combining document parsing, curve digitization, and an iterative Bayesian optimizer converts PDF datasheets into ASM-HEMT SPICE models automatically, with reported fitting errors of 1.2 to 4.9 percent on 17 commercial HEMT devices from 10 manufacturers.