Ehecatl Antonio del Rio‐Chanona

A geometric deep learning approach to predict binding conformations of bioactive molecules

Oscar Méndez‐Lucio, Mazen Ahmad, Ehecatl Antonio del Rio‐Chanona et al. · Nature Machine Intelligence · 2021 · 170 citations

Geometric Deep, Bioactive Molecules, Protein Folding +9

Stochastic data-driven model predictive control using gaussian processes

Eric Bradford, Lars Imsland, Dongda Zhang et al. · Computers & Chemical Engineering · 2020 · 127 citations · Full text

Hybrid physics‐based and data‐driven modeling for bioprocess online simulation and optimization

Dongda Zhang, Ehecatl Antonio del Rio‐Chanona, Panagiotis Petsagkourakis et al. · Biotechnology and Bioengineering · 2019 · 125 citations · Full text

Deep learning‐based surrogate modeling and optimization for microalgal biofuel production and photobioreactor design

Ehecatl Antonio del Rio‐Chanona, Jonathan L. Wagner, Haider Ali et al. · AIChE Journal · 2018 · 116 citations · Full text

Engineering, Algal Biotechnology, Microalgal Biofuel Production +19

Machine learning in process systems engineering: Challenges and opportunities

Pródromos Daoutidis, Jay H. Lee, Srinivas Rangarajan et al. · Computers & Chemical Engineering · 2023 · 88 citations

Artificial Intelligence, Engineering, Machine Learning +7