Researchers from Swinburne University of Technology Report Details of New Studie s and Findings in the Area of Artificial Intelligence (Computational Experiments of Metal Corrosion Studies: a Review)
Researchers from Swinburne University of Technology Report Details of New Studie s and Findings in the Area of Artificial Intelligence (Computational Experiments of Metal Corrosion Studies: a Review)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Artificial Intelligence. According to news reporting originating from Melbourne, Australia, by NewsRx correspondents, research stated, “This review article underscores the critical role of Density Functional Theory (DFT) in the prediction of corrosion defect structures based on specific chemical compositions. By integrating DFT w ith Molecular Dynamics (MD) simulations, we gain a more nuanced understanding of corrosion processes.” Funders for this research include Australian Research Council, Tuition Scholarsh ip from Swinburne University of Technology.
Key words
Melbourne/Australia/Australia and New Zealand/Artificial Intelligence/Emerging Technologies/Machine Learning/Molec ular Dynamics/Physics/Swinburne University of Technology
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