Leonardo Espinosa-Leal 
- (2023): Multitarget regression models for predicting compressive strength and chloride resistance of concrete. In: Journal of Building Engineering, v. 72 (August 2023).
- (2024): Unveiling non-steady chloride migration insights through explainable machine learning. In: Journal of Building Engineering, v. 82 (April 2024).
- (2023): Characterising the notch root radii and analyses of stress concentration factors near the dominant valleys of rough surface profiles. In: Rakenteiden Mekaniikka = Journal of Structural Mechanics, v. 56, n. 2 (12 June 2023).
- (2022): Prediction of chloride resistance level of concrete using machine learning for durability and service life assessment of building structures. In: Journal of Building Engineering, v. 60 (November 2022).
- (2022): A machine learning method for predicting the chloride migration coefficient of concrete. In: Construction and Building Materials, v. 348 (September 2022).
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