Machine Learning and Polynomial Chaos models for Accurate Prediction of SET Pulse Current
Author:
Affiliation:
1. IIT Roorkee,ECE Department,India
Funder
Indian Institute of Technology Roorkee
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10238464/10238482/10238585.pdf?arnumber=10238585
Reference10 articles.
1. A Multi-Fidelity Polynomial Chaos Approach for Uncertainty Quantification of MWCNT Interconnect Networks in the Presence of Imperfect Contacts
2. Machine Learning Regression-Based Single-Event Transient Modeling Method for Circuit-Level Simulation
3. Efficient Statistical Simulation of Microwave Devices Via Stochastic Testing-Based Circuit Equivalents of Nonlinear Components
4. A Predictor–Corrector Algorithm for Fast Polynomial Chaos-Based Uncertainty Quantification of Multi-Walled Carbon Nanotube Interconnects
5. Modeling the Dependence of Single-Event Transients on Strike Location for Circuit-Level Simulation;l d;IEEE Transactions on Nuclear Science,2019
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