Radamés Trejo-Valencia

Insights and pitfalls of artificial neural network modeling of competitive multi-metallic adsorption data

Didilia Ileana Mendoza‐Castillo, Hilda Elizabeth Reynel‐Ávila, Francisco Javier Sánchez-Ruíz et al. · Journal of Molecular Liquids · 2017 · 47 citations

Materials Science, Chemical Engineering, Evolving Neural Network +6

Artificial neural network-based surrogate modeling of multi-component dynamic adsorption of heavy metals with a biochar

Jaime Moreno-Pérez, Adrián Bonilla‐Petriciolet, Didilia Ileana Mendoza‐Castillo et al. · Journal of environmental chemical engineering · 2018 · 44 citations

Extractive Metallurgy, Chemical Engineering, Biochar +11

Engineered Magnetic Carbon-Based Adsorbents for the Removal of Water Priority Pollutants: An Overview

Hilda Elizabeth Reynel‐Ávila, Karla Iveth Camacho-Aguilar, Adrián Bonilla‐Petriciolet et al. · Adsorption Science & Technology · 2021 · 38 citations · Full text

Water Pollutants, Engineering, Magnetic Adsorbents +18

Physicochemical assessment of anionic dye adsorption on bone char using a multilayer statistical physics model

Lotfi Sellaoui, Fatma Dhaouadi, Hilda Elizabeth Reynel‐Ávila et al. · Environmental Science and Pollution Research · 2021 · 33 citations

Chemical Engineering, Physicochemical Assessment, Engineering +9

In-depth study of adsorption mechanisms and interactions in the removal of pharmaceutical contaminants via activated carbon: a physicochemical analysis

Rihab Ghorbali, Lotfi Sellaoui, Houcine Ghalla et al. · Environmental Science and Pollution Research · 2024 · 11 citations