logo
ResearchBunny Logo
Laying the experimental foundation for corrosion inhibitor discovery through machine learning

Engineering and Technology

Laying the experimental foundation for corrosion inhibitor discovery through machine learning

C. Özkan, L. Sahlmann, et al.

Discover groundbreaking research by Can Özkan and colleagues on innovative coatings that promise long-lasting corrosion protection using machine learning and an extensive electrochemical library of inhibitor candidates. Uncover how this research paves the way for faster inhibitor discovery.

00:00
00:00
Playback language: English
Abstract
Creating durable, eco-friendly coatings for long-term corrosion protection requires innovative strategies. Machine learning is a promising catalyst, but high-quality datasets are scarce. This research created an extensive electrochemical library of 80 inhibitor candidates, testing their behavior on AA2024-T3 substrates using linear polarization resistance, electrochemical impedance spectroscopy, and potentiodynamic polarization. The results provide target parameters and input features for developing quantitative structure-property relationship (QSPR) models, augmented by mechanistic input features, to streamline inhibitor discovery.
Publisher
npj Materials Degradation
Published On
Feb 21, 2024
Authors
Can Özkan, Lisa Sahlmann, Christian Feiler, Mikhail Zheludkevich, Sviatlana Lamaka, Parth Sewlikar, Agnieszka Kooijman, Peyman Taheri, Arjan Mol
Tags
corrosion protection
eco-friendly coatings
machine learning
electrochemical library
inhibitor candidates
QSPR models
AA2024-T3 substrates

Related Publications

Explore these studies to deepen your understanding of the subject.

The Goldilocks paradigm: comparing classical machine learning, large language models, and few-shot learning for drug discovery applications
Computer Science

The Goldilocks paradigm: comparing classical machine learning, large language models, and few-shot learning for drug discovery applications

S. H. Snyder, P. A. Vignaux, et al.

Machine learning assisted discovery of high-efficiency self-healing epoxy coating for corrosion protection
Engineering and Technology

Machine learning assisted discovery of high-efficiency self-healing epoxy coating for corrosion protection

T. Liu, Z. Chen, et al.

Machine-learning-guided discovery of the gigantic magnetocaloric effect in HoB₂ near the hydrogen liquefaction temperature
Physics

Machine-learning-guided discovery of the gigantic magnetocaloric effect in HoB₂ near the hydrogen liquefaction temperature

P. B. D. Castro, K. Terashima, et al.

Machine Learning Techniques for the Performance Enhancement of Multiple Classifiers in the Detection of Cardiovascular Disease from PPG Signals
Engineering and Technology

Machine Learning Techniques for the Performance Enhancement of Multiple Classifiers in the Detection of Cardiovascular Disease from PPG Signals

S. W. Rabkin, A. Cataldo, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny