Informing Data-Driven Recyclable Aluminum Design with Phase Constraints
The design of new aluminum alloys for recycling constitutes a large, multi-dimensional composition space. Within a Bayesian optimization blending model, phase or composition constraints are necessary to narrow the design space within and focus on regions that may contain viable alloys. This thesis f...
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/153790 https://orcid.org/0000-0001-8244-7575 |