Stacking classical-quantum hybrid learning approach for corrosion inhibition efficiency of N-heterocyclic compounds
This study introduces the stacking classical-quantum model (SCQM) as a novel approach to predicting N-heterocyclic compounds' corrosion inhibition efficiency (CIE). SCQM integrates classical models such as Multi-Layer Perceptron Neural Network (MLPNN) and Random Forest (RF) as base learners, wi...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Results in Surfaces and Interfaces |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666845925000492 |
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