Matches in SemOpenAlex for { <https://semopenalex.org/work/W3021291081> ?p ?o ?g. }
- W3021291081 abstract "Abstract The aim of this study is to evaluate the performance of multilevel Monte Carlo (MLMC) sampling technique for uncertainty quantification in stochastic multiscale systems. Two systems, a chemical vapor deposition chamber and a catalytic flow reactor, subject to multiple parameter uncertainty, were considered. The distributions of the systems' observables were estimated using standard MC sampling and polynomial chaos expansions (PCE), where the coefficients were calculated by nonintrusive spectral projection. The MLMC technique was used to efficiently sample the two systems and accurately estimate the data necessary for constructing the PCE expressions. The results show that the usage of MLMC improved the precision of identification of PCE versus the traditional heuristic approach and lowered the computational cost of uncertainty quantification compared to standard MC." @default.
- W3021291081 created "2020-05-13" @default.
- W3021291081 creator A5043725286 @default.
- W3021291081 creator A5063715865 @default.
- W3021291081 creator A5089919792 @default.
- W3021291081 date "2020-06-16" @default.
- W3021291081 modified "2023-10-09" @default.
- W3021291081 title "Multilevel Monte Carlo applied for uncertainty quantification in stochastic multiscale systems" @default.
- W3021291081 cites W1197831148 @default.
- W3021291081 cites W1523740859 @default.
- W3021291081 cites W1605843789 @default.
- W3021291081 cites W1691093109 @default.
- W3021291081 cites W1965618643 @default.
- W3021291081 cites W1967842749 @default.
- W3021291081 cites W1972291235 @default.
- W3021291081 cites W1975327134 @default.
- W3021291081 cites W1984879509 @default.
- W3021291081 cites W1984943006 @default.
- W3021291081 cites W1985459617 @default.
- W3021291081 cites W1988447552 @default.
- W3021291081 cites W1990109342 @default.
- W3021291081 cites W2000136588 @default.
- W3021291081 cites W2000309010 @default.
- W3021291081 cites W2001100668 @default.
- W3021291081 cites W2011210612 @default.
- W3021291081 cites W2014945091 @default.
- W3021291081 cites W2018159038 @default.
- W3021291081 cites W2024180131 @default.
- W3021291081 cites W2024442222 @default.
- W3021291081 cites W2036403017 @default.
- W3021291081 cites W2042021082 @default.
- W3021291081 cites W2050738787 @default.
- W3021291081 cites W2052848505 @default.
- W3021291081 cites W2057896693 @default.
- W3021291081 cites W2061502779 @default.
- W3021291081 cites W2067726813 @default.
- W3021291081 cites W2071518311 @default.
- W3021291081 cites W2079000916 @default.
- W3021291081 cites W2089719636 @default.
- W3021291081 cites W2098341023 @default.
- W3021291081 cites W2107084461 @default.
- W3021291081 cites W2119592775 @default.
- W3021291081 cites W2124153771 @default.
- W3021291081 cites W2125038138 @default.
- W3021291081 cites W2127401368 @default.
- W3021291081 cites W2127951107 @default.
- W3021291081 cites W2128522255 @default.
- W3021291081 cites W2130342057 @default.
- W3021291081 cites W2148439964 @default.
- W3021291081 cites W2157508970 @default.
- W3021291081 cites W2163715525 @default.
- W3021291081 cites W2171594132 @default.
- W3021291081 cites W2195327783 @default.
- W3021291081 cites W2262629430 @default.
- W3021291081 cites W2278776224 @default.
- W3021291081 cites W2282220917 @default.
- W3021291081 cites W2291099030 @default.
- W3021291081 cites W2305324191 @default.
- W3021291081 cites W2423948108 @default.
- W3021291081 cites W2463622642 @default.
- W3021291081 cites W2467581379 @default.
- W3021291081 cites W2507306503 @default.
- W3021291081 cites W2510083686 @default.
- W3021291081 cites W2553111806 @default.
- W3021291081 cites W2568283272 @default.
- W3021291081 cites W2593467507 @default.
- W3021291081 cites W2612576875 @default.
- W3021291081 cites W2623564989 @default.
- W3021291081 cites W2752462490 @default.
- W3021291081 cites W2763498028 @default.
- W3021291081 cites W2772538237 @default.
- W3021291081 cites W2793228372 @default.
- W3021291081 cites W2887661471 @default.
- W3021291081 cites W2896937211 @default.
- W3021291081 cites W2962834951 @default.
- W3021291081 cites W2963109333 @default.
- W3021291081 cites W2963974395 @default.
- W3021291081 cites W2966398373 @default.
- W3021291081 cites W3099674394 @default.
- W3021291081 cites W3100969891 @default.
- W3021291081 cites W4241366409 @default.
- W3021291081 cites W4254697648 @default.
- W3021291081 cites W4300600608 @default.
- W3021291081 cites W2555343587 @default.
- W3021291081 doi "https://doi.org/10.1002/aic.16262" @default.
- W3021291081 hasPublicationYear "2020" @default.
- W3021291081 type Work @default.
- W3021291081 sameAs 3021291081 @default.
- W3021291081 citedByCount "12" @default.
- W3021291081 countsByYear W30212910812020 @default.
- W3021291081 countsByYear W30212910812021 @default.
- W3021291081 countsByYear W30212910812022 @default.
- W3021291081 countsByYear W30212910812023 @default.
- W3021291081 crossrefType "journal-article" @default.
- W3021291081 hasAuthorship W3021291081A5043725286 @default.
- W3021291081 hasAuthorship W3021291081A5063715865 @default.
- W3021291081 hasAuthorship W3021291081A5089919792 @default.
- W3021291081 hasConcept C105795698 @default.
- W3021291081 hasConcept C106131492 @default.
- W3021291081 hasConcept C11413529 @default.