首页|Studies from Delft University of Technology Provide New Data on Machine Learning (Laying the experimental foundation for corrosion inhibitor discovery through m achine learning)
Studies from Delft University of Technology Provide New Data on Machine Learning (Laying the experimental foundation for corrosion inhibitor discovery through m achine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news reporting out of Delft University of Techno logy by NewsRx editors, research stated, “Creating durable, eco-friendly coating s for long-term corrosion protection requires innovative strategies to streamlin e design and development processes, conserve resources, and decrease maintenance costs.” Our news journalists obtained a quote from the research from Delft University of Technology: “In this pursuit, machine learning emerges as a promising catalyst, despite the challenges presented by the scarcity of high-quality datasets in th e field of corrosion inhibition research. To address this obstacle, we have crea ted an extensive electrochemical library of around 80 inhibitor candidates. The electrochemical behaviour of inhibitor-exposed AA2024-T3 substrates was captured using linear polarisation resistance, electrochemical impedance spectroscopy, a nd potentiodynamic polarisation techniques at different exposure times to obtain the most comprehensive electrochemical picture of the corrosion inhibition over a 24-h period.”
Delft University of TechnologyChemical sCyborgsElectrochemicalsEmerging TechnologiesMachine Learning
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