Machine learning models have gained prominence for predicting pure-component
properties, yet their application to mixture property prediction remains relatively limited …

Due to their high specificity, monoclonal antibodies (mAbs) have garnered significant
attention in recent decades, with advancements in production processes, such as high …

Recent load forecasting techniques combining machine learning models and
hyperparameter optimization algorithms have shown success for short-term load forecasting …

Mathematical models have become increasingly critical due to the rapid advances in
computational methods in recent decades. However, the validation of these models often …

Simulation models are crucial for various applications across the lifecycle of process plants,
such as plant engineering. As the industry moves toward modularization, plant components …