2024 AIChE Annual Meeting

Session: Nanoscale Manufacturing: Experiments, Modeling & Simulation

This session focuses on the exploration of experimental endeavours and advanced modeling and simulation, emphasizing critical elements such as scalability of nanoparticle production, development of structure property relationships by atomistic, mesoscale and/or continuum simulations, and the use of machine learning models and big data analytics in nanoscale manufacturing. Key focus areas include: • Scalability in nano-manufacturing, efficient and cost-effective manufacturing routes for nanoparticles • Applications of artificial intelligence, machine learning and big data analytics in synthesis optimization, material discovery and characterization • Structure-property relationships by experiments and computational modeling, including density functional theory, molecular simulations, computational fluid dynamics.

Co-Chairs

Goudeli, E., University of Melbourne
Teleki, A., Uppsala University