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200317s2020 enka ob 001 0 eng d |
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|a YDX
|b eng
|e pn
|c YDX
|d OPELS
|d UKAHL
|d OCLCF
|d UKMGB
|d EBLCP
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|a 019726155
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|a 1145546335
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|a 9780081029428
|q (electronic bk.)
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|a 008102942X
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|z 9780081029411
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|z 0081029411
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|a (OCoLC)1144803762
|z (OCoLC)1145546335
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|a TA404.23
|b U53 2020
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0 |
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|a 620.1/1
|2 23
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|a Uncertainty quantification in multiscale materials modeling /
|c edited by Yan Wang and David L. McDowell.
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|a Cambridge :
|b Woodhead Publishing,
|c 2020
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264 |
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|c �2020
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300 |
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|a 1 online resource (xviii, 586 pages) :
|b illustrations
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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490 |
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|a Elsevier series in mechanics of advanced materials
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|a Includes bibliographical references and index.
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|a Front Cover -- Uncertainty Quantification in Multiscale Materials Modeling -- Mechanics of Advanced Materials Series -- Series editor-in-chief: Vadim V. Silberschmidt -- Series editor: Thomas B�ohlke -- Series editor: David L. McDowell -- Series editor: Zhong Chen -- Uncertainty Quantification in Multiscale Materials Modeling -- Copyright -- Contents -- Contributors -- About the Series editors -- Editor-in-Chief -- Series editors -- Preface -- 1 -- Uncertainty quantification in materials modeling -- 1.1 Materials design and modeling -- 1.2 Sources of uncertainty in multiscale materials modeling
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|a 1.2.1 Sources of epistemic uncertainty in modeling and simulation -- 1.2.2 Sources of model form and parameter uncertainties in multiscale models -- 1.2.2.1 Models at different length and time scales -- 1.2.3 Linking models across scales -- 1.3 Uncertainty quantification methods -- 1.3.1 Monte Carlo simulation -- 1.3.2 Global sensitivity analysis -- 1.3.3 Surrogate modeling -- 1.3.4 Gaussian process regression -- 1.3.5 Bayesian model calibration and validation -- 1.3.6 Polynomial chaos expansion -- 1.3.7 Stochastic collocation and sparse grid -- 1.3.8 Local sensitivity analysis with perturbation
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|a 1.3.9 Polynomial chaos for stochastic Galerkin -- 1.3.10 Nonprobabilistic approaches -- 1.4 UQ in materials modeling -- 1.4.1 UQ for ab initio and DFT calculations -- 1.4.2 UQ for MD simulation -- 1.4.3 UQ for meso- and macroscale materials modeling -- 1.4.4 UQ for multiscale modeling -- 1.4.5 UQ in materials design -- 1.5 Concluding remarks -- Acknowledgments -- References -- 2 -- The uncertainty pyramid for electronic-structure methods -- 2.1 Introduction -- 2.2 Density-functional theory -- 2.2.1 The Kohn-Sham formalism -- 2.2.2 Computational recipes -- 2.3 The DFT uncertainty pyramid
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|a 2.3.1 Numerical errors -- 2.3.2 Level-of-theory errors -- 2.3.3 Representation errors -- 2.4 DFT uncertainty quantification -- 2.4.1 Regression analysis -- 2.4.2 Representative error measures -- 2.5 Two case studies -- 2.5.1 Case 1: DFT precision for elemental equations of state -- 2.5.2 Case 2: DFT precision and accuracy for the ductility of a W-Re alloy -- 2.6 Discussion and conclusion -- Acknowledgment -- References -- 3 -- Bayesian error estimation in density functional theory -- 3.1 Introduction -- 3.2 Construction of the functional ensemble -- 3.3 Selected applications -- 3.4 Conclusion
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650 |
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|a Materials
|x Mathematical models.
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650 |
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0 |
|a Uncertainty (Information theory)
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650 |
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0 |
|a Multiscale modeling.
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650 |
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6 |
|a Mat�eriaux
|0 (CaQQLa)201-0025866
|x Mod�eles math�ematiques.
|0 (CaQQLa)201-0379082
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650 |
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6 |
|a Incertitude (Th�eorie de l'information)
|0 (CaQQLa)201-0003328
|
650 |
|
6 |
|a Analyse multi�echelle.
|0 (CaQQLa)000265314
|
650 |
|
7 |
|a Materials
|x Mathematical models
|2 fast
|0 (OCoLC)fst01011852
|
650 |
|
7 |
|a Multiscale modeling
|2 fast
|0 (OCoLC)fst01763130
|
650 |
|
7 |
|a Uncertainty (Information theory)
|2 fast
|0 (OCoLC)fst01160838
|
700 |
1 |
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|a Wang, Yan,
|e editor.
|
700 |
1 |
|
|a McDowell, David L.,
|d 1956-
|e editor.
|
776 |
0 |
8 |
|i Print version:
|t Uncertainty quantification in multiscale materials modeling.
|d Cambridge : Woodhead Publishing, 2020
|z 0081029411
|z 9780081029411
|w (OCoLC)1119640371
|
830 |
|
0 |
|a Elsevier series in mechanics of advanced materials.
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780081029411
|z Texto completo
|