Optimization Algorithms for Hierarchical Problems, with Applications to Nanoporous Materials
- George Mason Univ., Fairfax, VA (United States); George Mason University
The aim of the overall project was research to formulate and solve multi-scale optimization problems for energy storage applications. More specifically, we formulated multi-scale models for optimizing the internal structure of nanoporous materials, with the goal of developing models for related energy applications associated with sustainable sources of energy. The applications include supercapacitors, hydrogen storage, catalytic beds, and filters. The optimization algorithms we have developed can be applied to general hierarchical design problems arising from complex systems.
- Research Organization:
- George Mason Univ., Fairfax, VA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- DOE Contract Number:
- SC0001691
- OSTI ID:
- 1128694
- Report Number(s):
- DOE-GMU--01691
- Country of Publication:
- United States
- Language:
- English
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