DOE OSTI · 1995973
Artificial Intelligence Designer of Materials and Processes for Advanced Power Generation
Abstract
In this presentation, ‘deep-freeze’ graphs, ‘convoluted filtering’ networks, ‘mirror-image’ graphs, and adversarial ensemble methods are utilized to support inversion modeling for optimization of the complex compositions and complex processes in design of high-performing alloys, with their properties tailored to the energy application specifications.
Keep this discovery
Explore connections, maps & timelines
Romanov, Vyacheslav. 2023-06-05. Artificial Intelligence Designer of Materials and Processes for Advanced Power Generation. https://doi.org/10.1109/cai54212.2023.00084
Cite the original work for its findings. Save a collection to share your selection of sources.