2000_MTJ_samples

Citation Author(s):
Shailendra
Yadav
Indian Institute of Technology Roorkee
Brajesh Kumar
Kaushik
Indian Institute of Technology Roorkee
Amita
Giri
Indian Institute of Technology Roorkee
Submitted by:
Shailendra Yadav
Last updated:
Tue, 09/24/2024 - 13:32
DOI:
10.21227/q2s5-y479
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Abstract 

Two thousand MTJ samples in total were included in the dataset for analysis; First, shuffle the dataset randomly to eliminate bias, then split it into ten equal folds of 200 samples each. For each iteration of cross-validation, use nine folds for training and one for testing, rotating the test fold across all ten groups so that every sample is tested once. 

Instructions: 

Step-1: Genereate the 2000 STT-MTJ data from SPICE simulation.  

 

Step-2: Four input variation (Alpha, TMR, Tunnel barrier thickness, Free layer thickness) and Switching/critical current required to switch the state of STT-MTJ.

 

step-3: Shuffle the dataset randomly to eliminate bias,

         then split it into ten equal folds of 200 samples each. 

          For each iteration of cross-validation, use nine folds for training and one for testing, 

           rotating the test fold across all ten groups so that every sample is tested once. 

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Submitted by Shailendra Yadav on Tue, 09/24/2024 - 13:34