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RESEARCH PAPER · Unknown journal · 2023

Efficient Data Utilization in Training Machine Learning Models for Nanoporous Materials Screening

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Efficient Data Utilization in Training Machine Learning Models for Nanoporous Materials ScreeningOriginalActive learning of alchemical adsorption simulations; towards a universal adsorption model15Multi-method material selection for adsorption using Bayesian approaches7Artificial intelligence in adsorption process optimization: A 2014–2024 bibliometric analysis of research trends and developments8Zeolites in membrane technology: A review of interface design, computational modeling, predictive framework and future engineering directions3

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  1. Active learning of alchemical adsorption simulations; towards a universal adsorption model

    Chemical Science · 2024-01-01

    Etinosa Osaro, Fernando Fajardo-Rojas, Gregory M. Cooper, Diego A. Gómez‐Gualdrón, Yamil J. Colón

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  2. Multi-method material selection for adsorption using Bayesian approaches

    Communications Materials · 2025-10-02

    Etinosa Osaro, Ashiat Bakare, Yamil J. Colón

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  3. Artificial intelligence in adsorption process optimization: A 2014–2024 bibliometric analysis of research trends and developments

    Results in Engineering · 2025-10-17

    Mohamed El Mallahi, El Houssien Akichouh, Abdellah Elyoussfi, Amin Salhi, M’hamed Ahari, Hassan Amhamdi, Mohammad Ghalit, Fouad Mourabit

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  4. Zeolites in membrane technology: A review of interface design, computational modeling, predictive framework and future engineering directions

    Journal of environmental chemical engineering · 2026-06-24

    Syed Abdul Moiz Hashmi, Waqar Hussain, Hina Bhanbhro, Lydia Anggraini, Marhaina Ismail

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