Research
Previous Works
Machine Learning (ML) based Physical Design Layout Violation Diagnostics
Dataset of DRC error density map using IC Validator
ML model train to predict and classify the violation root cause
Live diagnosis to translate physical error to the violation root cause
Machine Learning/Deep Learning based Scientific Prediction
Flow regime prediction of visualized fluid flow in 3D printed channel
Physical property prediction of carbon nanotubes (CNT) composites
Thermal Design, Modeling, and Optimization
Base design to represent any channel geometry for incremental optimization
Methodology to derive mathematical correlations of performance metrics with advanced design geometry
Optimization of channel design using derived models