-
1
-
-
13444269104
-
Uncertainty in predictions of the climate response to rising levels of greenhouse gases
-
Stainforth DA, Aina T, Christensen C, Collins M, Faull N, et al. 2005. Uncertainty in predictions of the climate response to rising levels of greenhouse gases. Nature 433:403-6
-
(2005)
Nature
, vol.433
, pp. 403-406
-
-
Stainforth, D.A.1
Aina, T.2
Christensen, C.3
Collins, M.4
Faull, N.5
-
2
-
-
4043124611
-
Quantification of modelling uncertainties in a large ensemble of climate change simulations
-
Murphy JM, Sexton DM, Barnett DN, Jones GS, Webb MJ, et al. 2004. Quantification of modelling uncertainties in a large ensemble of climate change simulations. Nature 430:768-72
-
(2004)
Nature
, vol.430
, pp. 768-772
-
-
Murphy, J.M.1
Sexton, D.M.2
Barnett, D.N.3
Jones, G.S.4
Webb, M.J.5
-
3
-
-
41549143160
-
Engineering computation under uncertainty-capabilities of non-traditional models
-
Moller B, Beer M. 2008. Engineering computation under uncertainty-capabilities of non-traditional models. Comput. Struct. 86(10):1024-41
-
(2008)
Comput. Struct.
, vol.86
, Issue.10
, pp. 1024-1041
-
-
Moller, B.1
Beer, M.2
-
4
-
-
79551619583
-
A stochastic collocation method for uncertainty quantification and propagation in cardiovascular simulations
-
Sankaran S, Marsden AL. 2011. A stochastic collocation method for uncertainty quantification and propagation in cardiovascular simulations. J. Biomech. Eng. 133:31001
-
(2011)
J. Biomech. Eng.
, vol.133
, pp. 31001
-
-
Sankaran, S.1
Marsden, A.L.2
-
5
-
-
0013045232
-
Quantifying and reporting uncertainty from systematic errors
-
Phillips CV. 2003. Quantifying and reporting uncertainty from systematic errors. Epidemiology 14:459-66
-
(2003)
Epidemiology
, vol.14
, pp. 459-466
-
-
Phillips, C.V.1
-
6
-
-
48249154564
-
Integrated computational materials engineering: A transformational discipline for improved competitiveness and national security
-
Natl. Mater. Advis. Board, Natl. Acad. Eng., Washington, DC
-
Pollock TM, Allison JE, Backman DG, BoyceMC, GershM, et al. 2008. Integrated computational materials engineering: a transformational discipline for improved competitiveness and national security. Rep. 0-309-11999- 5, Natl. Mater. Advis. Board, Natl. Acad. Eng., Washington, DC
-
(2008)
Rep. 0-309-11999-11995
-
-
Pollock, T.M.1
Allison, J.E.2
Backman, D.G.3
Boyce, M.C.4
Gersh, M.5
-
7
-
-
0030768918
-
Computational design of hierarchically structured materials
-
Olson GB. 1997. Computational design of hierarchically structured materials. Science 277:1237-42
-
(1997)
Science
, vol.277
, pp. 1237-1242
-
-
Olson, G.B.1
-
8
-
-
73449124802
-
Concurrent design of hierarchical materials and structures
-
McDowell DL, Olson GB. 2008. Concurrent design of hierarchical materials and structures. Sci. Model. Simul. 15:207-40
-
(2008)
Sci. Model. Simul.
, vol.15
, pp. 207-240
-
-
McDowell, D.L.1
Olson, G.B.2
-
9
-
-
33750993211
-
Bridging the scales in nano engineering and science
-
Fish J. 2006. Bridging the scales in nano engineering and science. J. Nanopart. Res. 8:577-94
-
(2006)
J. Nanopart. Res.
, vol.8
, pp. 577-594
-
-
Fish, J.1
-
10
-
-
84867637615
-
Key computational modeling issues in Integrated Computational Materials Engineering
-
Panchal JH, Kalidindi SR,McDowell DR. 2013. Key computational modeling issues in Integrated Computational Materials Engineering. Comput. Aided Design 45:4-25
-
(2013)
Comput. Aided Design
, vol.45
, pp. 4-25
-
-
Panchal, J.H.1
Kalidindi, S.R.2
McDowell, D.R.3
-
12
-
-
0030286892
-
Uncertainties in risk analysis: Six levels of treatment
-
Pat'e-CornellME. 1996. Uncertainties in risk analysis: six levels of treatment.Reliab. Eng. Syst. Saf. 54:95- 111
-
(1996)
Reliab. Eng. Syst. Saf.
, vol.54
, pp. 95-111
-
-
Pat'E-Cornell, M.E.1
-
14
-
-
70449533121
-
ABINIT: First-principles approach to material and nanosystem properties
-
Gonze X, Amadon B, Anglade PM, Beuken JM, Bottin F. 2009. ABINIT: first-principles approach to material and nanosystem properties. Comput. Phys. Commun. 180:2582-615
-
(2009)
Comput. Phys. Commun.
, vol.180
, pp. 2582-2615
-
-
Gonze, X.1
Amadon, B.2
Anglade, P.M.3
Beuken, J.M.4
Bottin, F.5
-
16
-
-
79955404665
-
A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing
-
Roy CJ, OberkampfWL. 2011. A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing. Comput. Meth. Appl. Mech. Eng. 200(25-28):2131-44
-
(2011)
Comput. Meth. Appl. Mech. Eng.
, vol.200
, Issue.25-28
, pp. 2131-2144
-
-
Roy, C.J.1
Oberkampf, W.L.2
-
17
-
-
77949833634
-
The evolution of the quartz crystal clock
-
MarrisonWA. 1948. The evolution of the quartz crystal clock. Bell Syst. Tech. J. XXVII:510-88
-
(1948)
Bell Syst. Tech. J.
, vol.27
, pp. 510-588
-
-
Marrison, W.A.1
-
20
-
-
84955019718
-
The pendulum: Rich physics from a simple system
-
Nelson RA, OlssonMG. 1986. The pendulum: rich physics from a simple system. Am. J. Phys. 54:112-21
-
(1986)
Am. J. Phys.
, vol.54
, pp. 112-121
-
-
Nelson, R.A.1
Olsson, M.G.2
-
21
-
-
84885702167
-
Formal representations of uncertainty
-
ed. D Bouyssou, D Dubois, H Prade, M Pirlot London: Wiley-ISTE
-
Dubois D, Prade H. 2010. Formal representations of uncertainty. In Decision Making Process: Concepts and Methods, ed. D Bouyssou, D Dubois, H Prade, M Pirlot, pp. 85-157. London:Wiley-ISTE
-
(2010)
Decision Making Process: Concepts and Methods
, pp. 85-157
-
-
Dubois, D.1
Prade, H.2
-
22
-
-
11944266539
-
Information theory and statistical mechanics
-
Jaynes ET. 1957. Information theory and statistical mechanics. Phys. Rev. 106:620-30
-
(1957)
Phys. Rev.
, vol.106
, pp. 620-630
-
-
Jaynes, E.T.1
-
24
-
-
33846271455
-
Interval finite elements as a basis for generalized models of uncertainty in engineering mechanics
-
Muhanna RL, Zhang H, Mullen RL. 2007. Interval finite elements as a basis for generalized models of uncertainty in engineering mechanics. Reliab. Comput. 13(2):173-94
-
(2007)
Reliab. Comput.
, vol.13
, Issue.2
, pp. 173-194
-
-
Muhanna, R.L.1
Zhang, H.2
Mullen, R.L.3
-
25
-
-
0030289763
-
Different methods are needed to propagate ignorance and variability
-
Ferson S, Ginzburg LR. 1996. Different methods are needed to propagate ignorance and variability. Reliab. Eng. Syst. Saf. 54(2-3):133-44
-
(1996)
Reliab. Eng. Syst. Saf.
, vol.54
, Issue.2-3
, pp. 133-144
-
-
Ferson, S.1
Ginzburg, L.R.2
-
26
-
-
34248666540
-
Fuzzy sets
-
Zadeh L. 1965. Fuzzy sets. Inf. Control 8(3):338-53
-
(1965)
Inf. Control
, vol.8
, Issue.3
, pp. 338-353
-
-
Zadeh, L.1
-
30
-
-
85008848794
-
Nonadditive probabilities in statistics
-
Hampel F. 2009. Nonadditive probabilities in statistics. J. Stat. Theory Pract. 3(1):11-23
-
(2009)
J. Stat. Theory Pract.
, vol.3
, Issue.1
, pp. 11-23
-
-
Hampel, F.1
-
31
-
-
0030146168
-
Measures of uncertainty in expert systems
-
Walley P. 1996. Measures of uncertainty in expert systems. Artif. Intell. 83(1):1-58
-
(1996)
Artif. Intell.
, vol.83
, Issue.1
, pp. 1-58
-
-
Walley, P.1
-
32
-
-
84859896363
-
A fuzzy-probabilistic durability concept for strain-hardening cement-based composites (SHCCs) exposed to chlorides. Part 1: Concept development
-
Altmann F, Sickert J-U, Mechtcherine V, Kaliske M. 2012. A fuzzy-probabilistic durability concept for strain-hardening cement-based composites (SHCCs) exposed to chlorides. Part 1: Concept development. Cem. Concr. Compos. 34(6):754-62
-
(2012)
Cem. Concr. Compos.
, vol.34
, Issue.6
, pp. 754-762
-
-
Altmann, F.1
Sickert, J.-U.2
Mechtcherine, V.3
Kaliske, M.4
-
33
-
-
84855759195
-
A new approach for determination of material constants of internal state variable based plasticity models and their uncertainty quantification
-
Salehghaffari S, Rais-Rohani M, Marin E, Bammann D. 2012. A new approach for determination of material constants of internal state variable based plasticity models and their uncertainty quantification. Comput. Mater. Sci. 55(0):237-44
-
(2012)
Comput. Mater. Sci.
, vol.55
, Issue.0
, pp. 237-244
-
-
Salehghaffari, S.1
Rais-Rohani, M.2
Marin, E.3
Bammann, D.4
-
34
-
-
84972513529
-
The probability approach to the treatment of uncertainty in artificial intelligence and expert systems
-
Lindley DV. 1987. The probability approach to the treatment of uncertainty in artificial intelligence and expert systems. Stat. Sci. 2(1):17-24
-
(1987)
Stat. Sci.
, vol.2
, Issue.1
, pp. 17-24
-
-
Lindley, D.V.1
-
36
-
-
16244382554
-
Numerical challenges in the use of polynomial chaos representations for stochastic processes
-
Debusschere BJ,Najm HN, P'ebay PP, Knio OM,Ghanem RG, Mâitre OPL. 2004. Numerical challenges in the use of polynomial chaos representations for stochastic processes. SIAM J. Sci. Comput. 26(2):698-719
-
(2004)
SIAM J. Sci. Comput.
, vol.26
, Issue.2
, pp. 698-719
-
-
Debusschere, B.J.1
Najm, H.N.2
P'Ebay, P.P.3
Knio, O.M.4
Ghanem, R.G.5
Mâitre, O.P.L.6
-
38
-
-
34248523110
-
Stochastic spectral methods for efficient Bayesian solution of inverse problems
-
Marzouk YM, Najm HN, Rahn LA. 2007. Stochastic spectral methods for efficient Bayesian solution of inverse problems. J. Comput. Phys. 224(2):560-86
-
(2007)
J. Comput. Phys.
, vol.224
, Issue.2
, pp. 560-586
-
-
Marzouk, Y.M.1
Najm, H.N.2
Rahn, L.A.3
-
39
-
-
59149084494
-
Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems
-
Marzouk YM, Najm HN. 2009. Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems. J. Comput. Phys. 228(6):1862-902
-
(2009)
J. Comput. Phys.
, vol.228
, Issue.6
, pp. 1862-1902
-
-
Marzouk, Y.M.1
Najm, H.N.2
-
41
-
-
79951535155
-
Statistical approaches to force-field calibration and prediction uncertainty in molecular simulation
-
Cailliez F, Pernot P. 2011. Statistical approaches to force-field calibration and prediction uncertainty in molecular simulation. J. Chem. Phys. 134(5):054124
-
(2011)
J. Chem. Phys.
, vol.134
, Issue.5
, pp. 054124
-
-
Cailliez, F.1
Pernot, P.2
-
42
-
-
28844495864
-
Bayesian error estimation in density-functional theory
-
Mortensen JJ, Kaasbjerg K, Frederiksen SL, Nørskov JK, Sethna JP, Jacobsen KW. 2005. Bayesian error estimation in density-functional theory. Phys. Rev. Lett. 95:216401
-
(2005)
Phys. Rev. Lett.
, vol.95
, pp. 216401
-
-
Mortensen, J.J.1
Kaasbjerg, K.2
Frederiksen, S.L.3
Nørskov, J.K.4
Sethna, J.P.5
Jacobsen, K.W.6
-
43
-
-
79952994819
-
Sensitivity analysis and uncertainty calculation for dispersion corrected density functional theory
-
Hanke F. 2011. Sensitivity analysis and uncertainty calculation for dispersion corrected density functional theory. J. Comput. Chem. 32(7):1424-30
-
(2011)
J. Comput. Chem.
, vol.32
, Issue.7
, pp. 1424-1430
-
-
Hanke, F.1
-
44
-
-
79955890318
-
Bayesian inference of atomic diffusivity in a binary Ni/Al system based on molecular dynamics
-
Rizzi F, Salloum M, Marzouk Y, Xu R-G, Falk ML, et al. 2011. Bayesian inference of atomic diffusivity in a binary Ni/Al system based on molecular dynamics. Multiscale Model. Simul. 9(1):486-512
-
(2011)
Multiscale Model. Simul.
, vol.9
, Issue.1
, pp. 486-512
-
-
Rizzi, F.1
Salloum, M.2
Marzouk, Y.3
Xu, R.-G.4
Falk, M.L.5
-
45
-
-
33746628117
-
Automatic differentiation of C++ codes for large-scale scientific computing. Comput. Sci.-ICCS 2006
-
Bartlett RA, Gay DM, Phipps ET. 2006. Automatic differentiation of C++ codes for large-scale scientific computing. Comput. Sci.-ICCS 2006, Lecture Notes Comput. Sci. 3994:525-32
-
(2006)
Lecture Notes Comput. Sci.
, vol.3994
, pp. 525-532
-
-
Bartlett, R.A.1
Gay, D.M.2
Phipps, E.T.3
-
46
-
-
0035371106
-
Uncertainty in mechanics problems: Interval-based approach
-
Muhanna R, Mullen R. 2001. Uncertainty in mechanics problems: Interval-based approach. J. Eng. Mech. 127(6):557-66
-
(2001)
J. Eng. Mech.
, vol.127
, Issue.6
, pp. 557-566
-
-
Muhanna, R.1
Mullen, R.2
-
49
-
-
50249144189
-
Combinatorial materials sciences: Experimental strategies for accelerated knowledge discovery
-
Rajan K. 2008. Combinatorial materials sciences: experimental strategies for accelerated knowledge discovery. Annu. Rev. Mater. Res. 38(1):299-322
-
(2008)
Annu. Rev. Mater. Res.
, vol.38
, Issue.1
, pp. 299-322
-
-
Rajan, K.1
-
50
-
-
0038369507
-
Sensitivity analysis and principal component analysis in free energy calculations
-
Wong CF, Rabitz H. 1991. Sensitivity analysis and principal component analysis in free energy calculations. J. Phys. Chem. 95(24):9628-30
-
(1991)
J. Phys. Chem.
, vol.95
, Issue.24
, pp. 9628-9630
-
-
Wong, C.F.1
Rabitz, H.2
-
51
-
-
29544433143
-
-
Hoboken, NJ: Wiley-Interscience
-
Box GEP, Hunter JS, Hunter WG. 2005. Statistics for Experimenters: Design, Innovation, and Discovery. Hoboken, NJ: Wiley-Interscience
-
(2005)
Statistics for Experimenters: Design, Innovation, and Discovery
-
-
Box, G.E.P.1
Hunter, J.S.2
Hunter, W.G.3
-
52
-
-
0038707540
-
Chemometric study of liquid water simulations. I. The parameters of the TIP4P model potential
-
Hernandes MZ, Da Silva JBP, Longo RL. 2003. Chemometric study of liquid water simulations. I. The parameters of the TIP4P model potential. J. Comput. Chem. 24(8):973-81
-
(2003)
J. Comput. Chem.
, vol.24
, Issue.8
, pp. 973-981
-
-
Hernandes, M.Z.1
Da Silva, J.B.P.2
Longo, R.L.3
-
53
-
-
22944490817
-
Sensitivity analysis for chemical models
-
Saltelli A, Ratto M, Tarantola S, Campolongo F. 2005. Sensitivity analysis for chemical models. Chem. Rev. 105(7):2811-28
-
(2005)
Chem. Rev.
, vol.105
, Issue.7
, pp. 2811-2828
-
-
Saltelli, A.1
Ratto, M.2
Tarantola, S.3
Campolongo, F.4
-
54
-
-
57049182499
-
Uncertainty quantification, sensitivity analysis, and data assimilation for nuclear systems simulation
-
Abdel-Khalik H, Turinsky P, Jessee M, Elkins J, Stover T, Iqbal M. 2008. Uncertainty quantification, sensitivity analysis, and data assimilation for nuclear systems simulation. Nucl.Data Sheets 109(12):2785-90
-
(2008)
Nucl.Data Sheets
, vol.109
, Issue.12
, pp. 2785-2790
-
-
Abdel-Khalik, H.1
Turinsky, P.2
Jessee, M.3
Elkins, J.4
Stover, T.5
Iqbal, M.6
-
55
-
-
70350733506
-
Bayesian emulation of complex multi-output and dynamic computer models
-
Conti S, O'Hagan A. 2010. Bayesian emulation of complex multi-output and dynamic computer models. J. Stat. Plan. Inference 140(3):640-51
-
(2010)
J. Stat. Plan. Inference
, vol.140
, Issue.3
, pp. 640-651
-
-
Conti, S.1
O'Hagan, A.2
-
56
-
-
13644266456
-
Model-robust and model-sensitive designs
-
Goos P, Kobilinsky A, O'Brien TE, Vandebroek M. 2005. Model-robust and model-sensitive designs. Comput. Stat. Data Anal. 49(1):201-16
-
(2005)
Comput. Stat. Data Anal.
, vol.49
, Issue.1
, pp. 201-216
-
-
Goos, P.1
Kobilinsky, A.2
O'Brien, T.E.3
Vandebroek, M.4
-
57
-
-
0346664343
-
Model robust designs
-
Design and Analysis of Experiments, ed. S Ghosh, C Rao Amsterdam: Elsevier
-
Chang YJ, Notz W. 1996. Model robust designs. In Handbook of Statistics 13: Design and Analysis of Experiments, ed. S Ghosh, C Rao, pp. 1055-98. Amsterdam: Elsevier
-
(1996)
Handbook of Statistics
, vol.13
, pp. 1055-1098
-
-
Chang, Y.J.1
Notz, W.2
-
58
-
-
0008819754
-
TheGROMOSbiomolecular simulation program package
-
Scott W.R.P., Hunenberger PH, Tironi IG, Mark AE, Billeter SR, et al. 1999. TheGROMOSbiomolecular simulation program package. J. Phys. Chem. A 103:3596-607
-
(1999)
J. Phys. Chem. A
, vol.103
, pp. 3596-3607
-
-
Scott, W.R.P.1
Hunenberger, P.H.2
Tironi, I.G.3
Mark, A.E.4
Billeter, S.R.5
-
59
-
-
20544458229
-
Sensitivity analysis of some thermodynamic properties of 2-centers Lennard-Jones liquids
-
KristofT,Liszi J. 1995. Sensitivity analysis of some thermodynamic properties of 2-centers Lennard-Jones liquids. Z. Phys. Chem. 190:289-97
-
(1995)
Z. Phys. Chem.
, vol.190
, pp. 289-297
-
-
Kristof, T.1
Liszi, J.2
-
60
-
-
20544477938
-
Sensitivity analysis of the vapour-liquid phase equilibria of a model of liquid carbon disulphide
-
Kristof T, Liszi J. 1996. Sensitivity analysis of the vapour-liquid phase equilibria of a model of liquid carbon disulphide. Z. Phys. Chem. 194:263-72
-
(1996)
Z. Phys. Chem.
, vol.194
, pp. 263-272
-
-
Kristof, T.1
Liszi, J.2
-
61
-
-
36449008867
-
Sensitivity analysis of water thermodynamics
-
Zhu SB, Wong CF. 1993. Sensitivity analysis of water thermodynamics. J. Chem. Phys. 98(11):8892-99
-
(1993)
J. Chem. Phys.
, vol.98
, Issue.11
, pp. 8892-8899
-
-
Zhu, S.B.1
Wong, C.F.2
-
62
-
-
0000471729
-
Sensitivity analysis of a polarizable watermodel
-
Zhu SB, Wong CF. 1994. Sensitivity analysis of a polarizable watermodel. J. Phys. Chem. 98(17):4695-701
-
(1994)
J. Phys. Chem.
, vol.98
, Issue.17
, pp. 4695-4701
-
-
Zhu, S.B.1
Wong, C.F.2
-
63
-
-
31544449433
-
Sensitivity analysis of thermodynamic properties of liquid water: A general approach to improve empirical potentials
-
Iordanov TD, Schenter GK, Garrett BC. 2006. Sensitivity analysis of thermodynamic properties of liquid water: a general approach to improve empirical potentials. J. Phys. Chem. A 110(2):762-71
-
(2006)
J. Phys. Chem. A
, vol.110
, Issue.2
, pp. 762-771
-
-
Iordanov, T.D.1
Schenter, G.K.2
Garrett, B.C.3
-
64
-
-
0030257432
-
A semi-empirical effective medium theory for metals and alloys
-
Jacobsen K, Stoltze P, Nørskov J. 1996. A semi-empirical effective medium theory for metals and alloys. Surf. Sci. 366(2):394-402
-
(1996)
Surf. Sci.
, vol.366
, Issue.2
, pp. 394-402
-
-
Jacobsen, K.1
Stoltze, P.2
Nørskov, J.3
-
65
-
-
33749125733
-
Modified embedded-atom potentials for cubic materials and impurities
-
Baskes MI. 1992. Modified embedded-atom potentials for cubic materials and impurities. Phys. Rev. B 46:2727-42
-
(1992)
Phys. Rev. B
, vol.46
, pp. 2727-2742
-
-
Baskes, M.I.1
-
66
-
-
0021463618
-
A simple empirical N-body potential for transition metals
-
Finnis MW, Sinclair JE. 1984. A simple empirical N-body potential for transition metals. Philos. Mag. A 50(1):45-55
-
(1984)
Philos. Mag. A
, vol.50
, Issue.1
, pp. 45-55
-
-
Finnis, M.W.1
Sinclair, J.E.2
-
67
-
-
78249279366
-
The modified embedded-atom method interatomic potentials and recent progress in atomistic simulations
-
Lee BJ, Ko WS, Kim HK, Kim EH. 2010. The modified embedded-atom method interatomic potentials and recent progress in atomistic simulations. CALPHAD 34(4):510-22
-
(2010)
CALPHAD
, vol.34
, Issue.4
, pp. 510-522
-
-
Lee, B.J.1
Ko, W.S.2
Kim, H.K.3
Kim, E.H.4
-
68
-
-
79953058134
-
Multiscale uncertainty quantification based on a generalized hidden Markov model
-
Wang Y. 2011. Multiscale uncertainty quantification based on a generalized hidden Markov model. J. Mech. Des. 133(3):031004
-
(2011)
J. Mech. Des.
, vol.133
, Issue.3
, pp. 031004
-
-
Wang, Y.1
-
69
-
-
84863012679
-
Multiscale simulations of heat transfer and fluid flow problems
-
He YL, Tao WQ. 2012. Multiscale simulations of heat transfer and fluid flow problems. J. Heat Transf. 134(3):031018
-
(2012)
J. Heat Transf.
, vol.134
, Issue.3
, pp. 031018
-
-
He, Y.L.1
Tao, W.Q.2
-
70
-
-
61349191533
-
An adaptive hierarchical sparse grid collocation algorithm for the solution of stochastic differential equations
-
Ma X, Zabaras N. 2009. An adaptive hierarchical sparse grid collocation algorithm for the solution of stochastic differential equations. J. Comput. Phys. 228:3084-113
-
(2009)
J. Comput. Phys.
, vol.228
, pp. 3084-3113
-
-
Ma, X.1
Zabaras, N.2
-
71
-
-
78649472968
-
An adaptive high-dimensional stochastic model representation technique for the solution of stochastic partial differential equations
-
Ma X, Zabaras N. 2010. An adaptive high-dimensional stochastic model representation technique for the solution of stochastic partial differential equations. J. Comput. Phys. 229:7311-31
-
(2010)
J. Comput. Phys.
, vol.229
, pp. 7311-7331
-
-
Ma, X.1
Zabaras, N.2
-
72
-
-
79955652744
-
A stochastic mixed finite element heterogeneous multiscale method for flow in porous media
-
Ma X, Zabaras N. 2011. A stochastic mixed finite element heterogeneous multiscale method for flow in porous media. J. Comput. Phys. 230(12):4696-722
-
(2011)
J. Comput. Phys.
, vol.230
, Issue.12
, pp. 4696-4722
-
-
Ma, X.1
Zabaras, N.2
-
73
-
-
84865699428
-
Astochasticmultiscale coupling scheme to account for noise in atomistic-to-continuum simulations
-
SalloumM,Sargsyan K, JonesR,Debusschere B,NajmHN,AdalsteinssonH. 2012.Astochasticmultiscale coupling scheme to account for noise in atomistic-to-continuum simulations. Multiscale Model. Simul. 10:550-84
-
(2012)
Multiscale Model. Simul.
, vol.10
, pp. 550-584
-
-
Salloum, M.1
Sargsyan, K.2
Jones, R.3
Debusschere, B.4
Najm, H.N.5
Adalsteinsson, H.6
-
74
-
-
78649472968
-
Kernel principal component analysis for stochastic input model generation
-
Ma X, Zabaras N. 2010. Kernel principal component analysis for stochastic input model generation. J. Comput. Phys. 230:3884-915
-
(2010)
J. Comput. Phys.
, vol.230
, pp. 3884-3915
-
-
Ma, X.1
Zabaras, N.2
-
75
-
-
70350410100
-
Complexity science ofmultiscale materials via stochastic computations
-
LiuW, Siad L, Tian R, Lee S, Lee D, et al. 2009. Complexity science ofmultiscale materials via stochastic computations. Int. J. Numer. Methods Eng. 80(6-7):932-78
-
(2009)
Int. J. Numer. Methods Eng.
, vol.80
, Issue.6-7
, pp. 932-978
-
-
Liu, W.1
Siad, L.2
Tian, R.3
Lee, S.4
Lee, D.5
-
76
-
-
47249089931
-
Materials integrity in microsystems: A framework for a petascale predictive-science-based multiscale modeling and simulation system
-
To A, Liu W, Olson G, Belytschko T, Chen W, et al. 2008. Materials integrity in microsystems: a framework for a petascale predictive-science-based multiscale modeling and simulation system. Comput. Mech. 42:485-510
-
(2008)
Comput. Mech.
, vol.42
, pp. 485-510
-
-
To, A.1
Liu, W.2
Olson, G.3
Belytschko, T.4
Chen, W.5
-
77
-
-
70349504357
-
A Green-function-based multiscale method for uncertainty quantification of finite body random heterogeneous materials
-
Xu XF, Chen X, Shen L. 2009. A Green-function-based multiscale method for uncertainty quantification of finite body random heterogeneous materials. Comput. Struct. 87(21-22):1416-26
-
(2009)
Comput. Struct.
, vol.87
, Issue.21-22
, pp. 1416-1426
-
-
Xu, X.F.1
Chen, X.2
Shen, L.3
-
78
-
-
80052655271
-
Multiscale modeling for ferroelectric materials: A transition from the atomic level to phase-field modeling
-
Volker B, Marton P, Elsasser C, Kamlah M. 2011. Multiscale modeling for ferroelectric materials: a transition from the atomic level to phase-field modeling. Contin. Mech. Thermodyn. 23:425-451
-
(2011)
Contin. Mech. Thermodyn.
, vol.23
, pp. 425-451
-
-
Volker, B.1
Marton, P.2
Elsasser, C.3
Kamlah, M.4
-
79
-
-
70350410100
-
Complexity science ofmultiscale materials via stochastic computations
-
LiuWK, Siad L, Tian R, Lee S,Lee D, et al. 2009. Complexity science ofmultiscale materials via stochastic computations. Int. J. Numer. Comput. Eng. 80:932-78
-
(2009)
Int. J. Numer. Comput. Eng.
, vol.80
, pp. 932-978
-
-
Liu, W.K.1
Siad, L.2
Tian, R.3
Lee, S.4
Lee, D.5
-
80
-
-
79955795311
-
Microstructure-based description of the deformation of metals: Theory and application
-
Helm D, Butz A, Raabe D, Gumbsch P. 2011. Microstructure-based description of the deformation of metals: theory and application. JOM 63:26-33
-
(2011)
JOM
, vol.63
, pp. 26-33
-
-
Helm, D.1
Butz, A.2
Raabe, D.3
Gumbsch, P.4
-
81
-
-
84555202575
-
Multi-scale modeling of low-temperature deformation in b.c.c. metals
-
Buchheit T, Battaile C, Weinberger C, Holm E. 2011. Multi-scale modeling of low-temperature deformation in b.c.c. metals. JOM 63:33-36
-
(2011)
JOM
, vol.63
, pp. 33-36
-
-
Buchheit, T.1
Battaile, C.2
Weinberger, C.3
Holm, E.4
-
82
-
-
70449697937
-
The effect of multiple sources of uncertainty on the convex hull of material properties of polycrystals
-
Kouchmeshky B, Zabaras N. 2009. The effect of multiple sources of uncertainty on the convex hull of material properties of polycrystals. Comput. Mater. Sci. 47(2):342-52
-
(2009)
Comput. Mater. Sci.
, vol.47
, Issue.2
, pp. 342-352
-
-
Kouchmeshky, B.1
Zabaras, N.2
-
83
-
-
77949491750
-
Microstructure model reduction and uncertainty quantification in multiscale deformation processes
-
Kouchmeshky B, Zabaras N. 2010. Microstructure model reduction and uncertainty quantification in multiscale deformation processes. Comput. Mater. Sci. 48(2):213-27
-
(2010)
Comput. Mater. Sci.
, vol.48
, Issue.2
, pp. 213-227
-
-
Kouchmeshky, B.1
Zabaras, N.2
-
84
-
-
0001321490
-
External memory algorithms and data structures: Dealing withmassive data
-
Vitter JS. 2001. External memory algorithms and data structures: dealing withmassive data. ACM Comput. Surv. 33:209-71
-
(2001)
ACM Comput. Surv
, vol.33
, pp. 209-271
-
-
Vitter, J.S.1
-
85
-
-
0020893421
-
An internal variable model of viscoplasticity
-
Bammann DJ. 1984. An internal variable model of viscoplasticity. Int. J. Eng. Sci. 22(8-10):1041-53
-
(1984)
Int. J. Eng. Sci.
, vol.22
, Issue.8-10
, pp. 1041-1053
-
-
Bammann, D.J.1
-
86
-
-
79959576112
-
Uncertainty propagation in a multiscale model of nanocrystalline plasticity
-
Koslowski M, Strachan A. 2011. Uncertainty propagation in a multiscale model of nanocrystalline plasticity. Reliab. Eng. Syst. Saf. 96(9):1161-70
-
(2011)
Reliab. Eng. Syst. Saf.
, vol.96
, Issue.9
, pp. 1161-1170
-
-
Koslowski, M.1
Strachan, A.2
-
87
-
-
56449100211
-
A comparative study of uncertainty propagation methods for black-box-type problems
-
Lee S, Chen W. 2009. A comparative study of uncertainty propagation methods for black-box-type problems. Struct. Multidiscip. Optim. 37:239-53
-
(2009)
Struct. Multidiscip. Optim
, vol.37
, pp. 239-253
-
-
Lee, S.1
Chen, W.2
|