This journal focuses on the application of digital technologies and advanced computational methods to solve complex problems in chemical engineering. Articles explore the use of artificial intelligence, machine learning, and data-driven approaches for process simulation, optimization, control, and monitoring. Topics include automated data analysis, digital twins, predictive maintenance, and real-time quality assurance across various industrial sectors.
Fault Detection and Control SystemsAdvanced Control Systems OptimizationProcess Optimization and IntegrationReservoir Engineering and Simulation MethodsMachine Learning in Materials ScienceMineral Processing and GrindingFluid Dynamics and MixingViral Infectious Diseases and Gene Expression in InsectsSpectroscopy and Chemometric AnalysesDigital Transformation in Industry