Welcome to the Multiscale Process Safety Research Lab in the Artie McFerrin Department of Chemical Engineering, associated with the Mary Kay O’Connor Process Safety Center at Texas A&M University. Our research focuses on two broad areas:
- Process Safety Engineering: To resolve the most critical safety problem in industries, which is to prevent and mitigate hazardous phenomena including hydrocarbon fire/explosion, battery fire, CO2 dispersion, alternative fuel safety and hydrogen explosion.
- Composite Materials Manufacturing: To explore novel applications in energy and sustainability, such as flame retardant materials, mixed matrix membranes for carbon capture, high-performance composites for water treatment, and oil herders for oil spill response.
We uses multiscale and multidisciplinary approaches, including both experiment and modeling:
- Experiment
- Composite Manufacturing
- Combustion and Fire Retardant Testing
- Synthetic Chemistry
- Colloids and Interface Characterization
- Modeling and Simulation
- Machine Learning and Deep Learning
- Computational Chemistry and Molecular Modeling
- Computational Fluid Dynamics (CFD)
- Process Modeling and Simulation
The research team aims to bring perspectives of chemical engineering, chemistry, machine learning, and materials engineering to chemical process industries and hence yields systematic solutions to improve process safety. The Wang group is organized into four teams (A-D):
- A Team – Fire and Explosion Process Safety
- B Team – Machine Learning in Process Safety
- C Team – Flame Retardant Polymers
- D Team – Nanocomposite Manufacturing
A new book “Machine Learning in Chemical Safety and Health: Fundamentals with Applications” is published by Wiley, ISBN 111981748X, 9781119817482.
Fall 2019 Group Picture
Spring 2019 Group Picture
