Editing Electromigration (section)

=== Machine Learning Model for Electromigration-aware MTTF Prediction===
{{Confusing section|date=February 2022}}
Recent work demonstrates MTTF prediction using a machine learning model. The work uses a neural network-based supervised learning approach with current density, interconnect length, interconnect temperature as input features to the model.<ref>{{Cite journal |doi = 10.1145/3399677 |pages = 1–29|year = 2020|last1 = Dey|first1 = Sukanta|last2 = Nandi|first2 = Sukumar|last3 = Trivedi|first3 = Gaurav | title=Machine Learning Approach for Fast Electromigration Aware Aging Prediction in Incremental Design of Large Scale On-chip Power Grid Network | journal=ACM Transactions on Design Automation of Electronic Systems |volume = 25|issue = 5|s2cid = 222110488}}</ref><ref>{{Cite journal|url=https://dl.acm.org/doi/10.1145/3399677?cid=99659544720|doi=10.1145/3399677 |year=2020|last1=Dey|first1=Sukanta|last2=Nandi|first2=Sukumar|last3=Trivedi|first3=Gaurav |title=Machine Learning Approach for Fast Electromigration Aware Aging Prediction in Incremental Design of Large Scale On-chip Power Grid Network |journal=ACM Transactions on Design Automation of Electronic Systems |volume=25|issue=5|pages=1–29|s2cid=222110488|url-access=subscription}}</ref>