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Author

Yongsheng Chen

3 papers indexed here

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Open access Sep 2026

Reinforcement-Learning-Enabled Supervisory Control of a Full-Scale Anaerobic Digestion Facility Using a Calibrated Digital Twin

Anaerobic digestion (AD) is a cornerstone of energy recovery and decarbonization at wastewater resource recovery facilities (WRRFs), yet full-scale digesters are often operated conservatively due to delayed process feedback, nonlinear stability constraints, and limited observability. This study presents a novel reinf...

A. I. Yunus, Srinivas Jalla, Joe F. Bozeman et al. · 0 citations
Review Open access Aug 2026

Machine Learning for Magnetite Nanoparticles Contaminant Adsorption under Uncertainty: Revealing Data Quality Limits

Despite the rapid adoption of machine learning (ML) in materials discovery, its application to water contaminant adsorption remains fundamentally constrained. In this study, we systematically evaluated whether current peer-reviewed literature on magnetite nanoparticle (MNPs) adsorbents contains sufficient descriptor...

A. I. Yunus, Jacob Song, Samuel Darko et al. · 0 citations
Open access Jul 2026

Machine Learning–Driven Discovery of Sustainable Ionic Liquids for CO2 Capture from Large Chemical Spaces

Ionic liquids (ILs) represent one of the most promising and versatile solvent families for CO2 capture due to their structural tunability and low volatility. However, the sheer scale and complexity of the IL chemical design space make the discovery of high-performance candidates extraordinarily challenging. In this wor...

Yushan Chen, Yongsheng Chen · 0 citations

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