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The last 5 uploaded publications
Measurement of Corrosion Potential Under Thin Electrolyte Films and the Expression of Localized Corrosion Damage
Digby D Macdonald, George R. Engelhardt, Jennifer A Cordes, R. E. Dillon, Daniel P. Schmidt, Gregory N. Vigilante, Edward Troiano, John J Cannon, Andrew G. Littlefield (2019). Measurement of Corrosion Potential Under Thin Electrolyte Films and the Expression of Localized Corrosion Damage.
Article89 days agoPrediction of corrosion fatigue crack growth rate in alloys. Part II: effect of electrochemical potential, NaCl concentration, and temperature on crack propagation in AA2024-T351
Danyil Kovalov, Balázs Fekete, George R. Engelhardt, Digby D Macdonald (2019). Prediction of corrosion fatigue crack growth rate in alloys. Part II: effect of electrochemical potential, NaCl concentration, and temperature on crack propagation in AA2024-T351. , 152, DOI: https://doi.org/10.1016/j.corsci.2019.03.005.
Article89 days agoDetermination of kinetic parameters in the point defect model (PDM) for iron using electrochemical impedance spectroscopy and first-principles calculations
Dihao Chen, Chaofang Dong, George R. Engelhardt, Jie Qiu, Digby D Macdonald (2025). Determination of kinetic parameters in the point defect model (PDM) for iron using electrochemical impedance spectroscopy and first-principles calculations. , 248, DOI: https://doi.org/10.1016/j.corsci.2025.112779.
Article89 days agoCorrosion of Carbon Steel in Physically-Constrained Locations in Hlnw Isolation
George R. Engelhardt, Bruno Kursten, Digby D Macdonald (2013). Corrosion of Carbon Steel in Physically-Constrained Locations in Hlnw Isolation. , MA2013-02(21), DOI: https://doi.org/10.1149/ma2013-02/21/1792.
Article89 days agoModeling of the electrochemical impedance spectroscopic behavior of passive iron using a genetic algorithm approach
Samin Sharifi‐Asl, Matthew L. Taylor, Zijie Lu, George R. Engelhardt, Bruno Kursten, Digby D Macdonald (2013). Modeling of the electrochemical impedance spectroscopic behavior of passive iron using a genetic algorithm approach. , 102, DOI: https://doi.org/10.1016/j.electacta.2013.03.143.
Article89 days ago