# Predictive Computational Methods Foundry **Entity class:** Institutional capability model ## Definition A **predictive-computational methods foundry** develops transferable machinery for representing, accelerating, inverting, updating, validating, and controlling difficult physical or socio-technical systems. Its output is a reusable method stack rather than one application. ## Relationships - **institutional example:** [[wiki/Oden Institute|Oden Institute]]. - **methods:** [[wiki/Reduced-Order Modeling|Reduced-Order Modeling]], [[wiki/Multifidelity Modeling|Multifidelity Modeling]], [[wiki/Inverse Problem|Inverse Problem]], [[wiki/Data Assimilation|Data Assimilation]], [[wiki/Verification Validation and Uncertainty Quantification|VVUQ]], and [[wiki/Scientific Machine Learning|Scientific Machine Learning]]. - **compute substrate:** [[wiki/Texas Advanced Computing Center|TACC]]. - **application examples:** nuclear effects, fusion, reservoirs, digital twins, medicine, autonomy, and Earth systems. ## Sources / Provenance - [Oden Institute — Research](https://oden.utexas.edu/research/) - [Oden Institute — Center for Scientific Machine Learning](https://www.oden.utexas.edu/research/centers-and-groups/center-for-scientific-machine-learning/)