Multiscale Approaches to Design

Co-chair(s):
Esposito, R., Nalco Company

Multiscale modeling approaches for design involve the solution of physical problems that have important features at multiple scales (particularly spatial and temporal scales) relevant to overall product or process design. This session seeks contributions that address current issues and challenges in the area of multiscale modeling for the design of processes and products. Approaches that address one or more of the following represent ideal submissions for this session: (1) developing systematic mathematical frameworks that make multiscale predictions more reliable and less erroneous, (2) developing strategies to reduce the tremendous design space of fine-scale variables to a manageable size that are applicable at the systems (product or process) level, and (3) developing techniques to calibrate the design space at multiple scales to available experimental data. Papers that contain case studies and applications to products and processes in nanotechnology, biotechnology, electronics, energy, and other areas are particularly welcome.

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AIChE Members $150.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
Non-Members $225.00