Physics-informed Gaussian process classification for constraint-aware alloy design
Alloy design can be framed as a constraint-satisfaction problem. Building on previous methodologies, we propose equipping Gaussian Process Classifiers (GPCs) with physics-informed prior mean functions to model the centers of feasible design spaces.
Authors
- Cliff Hardcastle
- Brent Vela (ORCID: https://orcid.org/0000-0001-6465-3738)
- Raymundo Arróyave (ORCID: https://orcid.org/0000-0001-7548-8686)
- Ryan O'Mullan
Institutions
- Walker (United States) (US)
- Texas A&M University (US)
Publication Details
- Journal
- Digital Discovery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5dd00084j
- Citations
- 3
- Primary Topic
- Manufacturing Process and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 3.73