Revolutionizing
Chemical Processes
with AI
Heat and mass transfer is the study of how thermal energy and substances move within and between systems. It is essential in designing efficient processes and equipment in chemical engineering.
Bioprocess engineering applies the principles of chemical engineering to the production of biological products. It involves the use of microorganisms and cells to manufacture pharmaceuticals, food, and biofuels.
Thermodynamics explores the principles governing energy transformations and the relationships between various properties of matter. This field underpins much of chemical engineering, helping to optimize reactions and processes.
Data science is the practice of extracting insights and knowledge from data through various analytical methods. In chemical engineering, it enhances process optimization, predictive maintenance, and quality control.
Machine learning involves developing algorithms that can learn from and make predictions on data. It revolutionizes chemical engineering by enabling advanced process modeling, optimization, and anomaly detection.
