Four quantitative structure-activity relationships (QSAR) and quantitative structure-property
relationship (QSPR) data sets were selected from the literature and used to build regression …

In this work, the chemometric techniques most frequently used in QSAR (quantitative
structure-activity relationships) studies are reviewed. They are introduced in chronological …

Two data-driven models are presented to predict and analyze the performance of a PEM fuel
cell operating on pure oxygen that can be used as an effective power source for air …

This article addresses the operational optimization of industrial steam systems under device
efficiency uncertainty using a data‐driven adaptive robust optimization approach. A …

Complex turbines with multiple controlled and/or uncontrolled extractions are popularly used
in the processing industry and cogeneration plants to provide steam of different levels …

In many chemical plants such as LNG, refineries, air enrichment, and ammonia compression
is a major consumer of energy. In such plants, some process streams may need …

A novel short-term planning model of the ethylene plant that incorporates the operating
variables and energy utilization in both the thermal cracking and the down-stream process is …

Based on the characteristics of work exchanger, a graphical integration method is
developed for work exchange network. In this method, the composite curves of work sinks …

Four Quantitative Structure–Activity Relationship (QSAR) models were constructed for a set
of 32 and 16 HIV-1 protease inhibitors in the training and external validation sets …

In this paper, we developed a hybrid model for the steam turbines of a utility system, which
combines an improved neural network model with the thermodynamic model. Then, a …