Browsing by Subject "Model Order Reduction"
Now showing items 1-5 of 5
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(2010-12-06)Small signal stability has always been an important concern for analog designers. Recent advances such as the Loop Finder algorithm allows designers to detect and identify local, potentially unstable return loops without ...
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(2022-05-25)This work explores the application of data-driven, projection-based, reduced-order models (ROMs) to parametric steady-state, neutral particle, no-fission, source-driven radiation transport. In the offline phase, ROM basis ...
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(2021-06-29)This work presents a model-order reduction approach for parametric multiphysics problems. The developed method utilizes the intrusive Proper Orthogonal Decomposition aided Reduced Basis technique (POD-RB) which builds ...
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(2020-07-27)Fast and reliable reservoir simulation is a key for the successful decision making in integrated reservoir studies. Large and complex multiphase reservoir models usually require expensive computational infrastructure. ...
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(2022-07-15)As oil production rises, and we are forced to undertake more challenging problems, the need for accurate and efficient reservoir simulations increases. Revitalizing old reservoirs and tackling more geologically complex ...