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1	$Phase-field modeling of ductile fracture$ $Phase-field modeling of ductile fracture$ Material Type: Article	Phase-field modeling of ductile fracture Computational mechanics, 2015-05, Vol.55 (5), p.1017-1040 [Peer Reviewed Journal] Springer-Verlag Berlin Heidelberg 2015 ;COPYRIGHT 2015 Springer ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-015-1151-4 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	Prediction of aerodynamic flow fields using convolutional neural networks Computational mechanics, 2019-08, Vol.64 (2), p.525-545 [Peer Reviewed Journal] Springer-Verlag GmbH Germany, part of Springer Nature 2019 ;COPYRIGHT 2019 Springer ;Copyright Springer Nature B.V. 2019 ;Computational Mechanics is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-019-01740-0 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	The reproduction number of COVID-19 and its correlation with public health interventions Computational mechanics, 2020, Vol.66 (4), p.1035-1050 [Peer Reviewed Journal] Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;COPYRIGHT 2020 Springer ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-020-01880-8 ;PMID: 32836597 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	Diffusion–reaction compartmental models formulated in a continuum mechanics framework: application to COVID-19, mathematical analysis, and numerical study Computational mechanics, 2020-11, Vol.66 (5), p.1131-1152 [Peer Reviewed Journal] The Author(s) 2020 ;The Author(s) 2020. ;COPYRIGHT 2020 Springer ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-020-01888-0 ;PMID: 32836602 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	$A review on phase-field models of brittle fracture and a new fast hybrid formulation$ $A review on phase-field models of brittle fracture and a new fast hybrid formulation$ Material Type: Article	A review on phase-field models of brittle fracture and a new fast hybrid formulation Computational mechanics, 2015-02, Vol.55 (2), p.383-405 [Peer Reviewed Journal] Springer-Verlag Berlin Heidelberg 2014 ;COPYRIGHT 2015 Springer ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-014-1109-y Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks Computational mechanics, 2021-02, Vol.67 (2), p.619-635 [Peer Reviewed Journal] Springer-Verlag GmbH Germany, part of Springer Nature 2021 ;COPYRIGHT 2021 Springer ;Springer-Verlag GmbH Germany, part of Springer Nature 2021. ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-020-01952-9 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	Correction to: Physics-informed deep learning for three-dimensional transient heat transfer analysis of functionally graded materials Computational mechanics, 2023-12, Vol.72 (6), p.1315-1315 [Peer Reviewed Journal] The Author(s) 2023 ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-023-02350-7 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	Bayesian-based predictions of COVID-19 evolution in Texas using multispecies mixture-theoretic continuum models Computational mechanics, 2020-11, Vol.66 (5), p.1055-1068 [Peer Reviewed Journal] Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;COPYRIGHT 2020 Springer ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-020-01889-z ;PMID: 32836598 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	$Correction: Hybrid of monolithic and staggered solution techniques for the computational analysis of fracture, assessed on fibrous network mechanics$ $Correction: Hybrid of monolithic and staggered solution techniques for the computational analysis of fracture, assessed on fibrous network mechanics$ Material Type: Article	Correction: Hybrid of monolithic and staggered solution techniques for the computational analysis of fracture, assessed on fibrous network mechanics Computational mechanics, 2023-02, Vol.71 (2), p.351-351 [Peer Reviewed Journal] The Author(s) 2022 ;COPYRIGHT 2023 Springer ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-022-02239-x Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	A data-driven computational homogenization method based on neural networks for the nonlinear anisotropic electrical response of graphene/polymer nanocomposites Computational mechanics, 2019-08, Vol.64 (2), p.307-321 [Peer Reviewed Journal] Springer-Verlag GmbH Germany, part of Springer Nature 2018 ;COPYRIGHT 2019 Springer ;Copyright Springer Nature B.V. 2019 ;Computational Mechanics is a copyright of Springer, (2018). All Rights Reserved. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-018-1643-0 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	$A Bayesian estimation method for variational phase-field fracture problems$ $A Bayesian estimation method for variational phase-field fracture problems$ Material Type: Article	A Bayesian estimation method for variational phase-field fracture problems Computational mechanics, 2020-10, Vol.66 (4), p.827-849 [Peer Reviewed Journal] The Author(s) 2020 ;The Author(s) 2020. ;COPYRIGHT 2020 Springer ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-020-01876-4 ;PMID: 33029034 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	$A comparative review of peridynamics and phase-field models for engineering fracture mechanics$ $A comparative review of peridynamics and phase-field models for engineering fracture mechanics$ Material Type: Article	A comparative review of peridynamics and phase-field models for engineering fracture mechanics Computational mechanics, 2022-06, Vol.69 (6), p.1259-1293 [Peer Reviewed Journal] The Author(s) 2022 ;COPYRIGHT 2022 Springer ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-022-02147-0 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	A computational library for multiscale modeling of material failure Computational mechanics, 2014-05, Vol.53 (5), p.1047-1071 [Peer Reviewed Journal] Springer-Verlag Berlin Heidelberg 2013 ;COPYRIGHT 2014 Springer ;Computational Mechanics is a copyright of Springer, (2013). All Rights Reserved. ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-013-0948-2 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	Dynamic and fluid–structure interaction simulations of bioprosthetic heart valves using parametric design with T-splines and Fung-type material models Computational mechanics, 2015-06, Vol.55 (6), p.1211-1225 [Peer Reviewed Journal] Springer-Verlag Berlin Heidelberg 2015 ;COPYRIGHT 2015 Springer ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-015-1166-x ;PMID: 26392645 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	Material Type: Article	Data-driven non-linear elasticity: constitutive manifold construction and problem discretization Computational mechanics, 2017-11, Vol.60 (5), p.813-826 [Peer Reviewed Journal] Attribution ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-017-1440-1 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	$Correction to: A damage phase-field model for fractional viscoelastic materials in finite strain$ $Correction to: A damage phase-field model for fractional viscoelastic materials in finite strain$ Material Type: Article	Correction to: A damage phase-field model for fractional viscoelastic materials in finite strain Computational mechanics, 2022-06, Vol.69 (6), p.1395-1395 [Peer Reviewed Journal] The Author(s) 2022 ;COPYRIGHT 2022 Springer ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-022-02181-y Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	A general phase-field model for fatigue failure in brittle and ductile solids Computational mechanics, 2021-05, Vol.67 (5), p.1431-1452 [Peer Reviewed Journal] The Author(s) 2021 ;COPYRIGHT 2021 Springer ;The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-021-01996-5 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	Is it safe to lift COVID-19 travel bans? The Newfoundland story Computational mechanics, 2020-11, Vol.66 (5), p.1081-1092 [Peer Reviewed Journal] Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;COPYRIGHT 2020 Springer ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-020-01899-x ;PMID: 32904431 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	Correction to: A theoretical proof of the invalidity of dynamic relaxation arc-length method for snap-back problems Computational mechanics, 2022, Vol.69 (1), p.345-345 [Peer Reviewed Journal] Springer-Verlag GmbH Germany, part of Springer Nature 2021 ;COPYRIGHT 2022 Springer ;Springer-Verlag GmbH Germany, part of Springer Nature 2021. ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-021-02108-z Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics Computational mechanics, 2023-03, Vol.71 (3), p.543-562 [Peer Reviewed Journal] The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;COPYRIGHT 2023 Springer ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-022-02252-0 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by

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Results 1 - 20 of 2,314 for All Library Resources

Springer-Verlag Berlin Heidelberg 2015 ;COPYRIGHT 2015 Springer ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-015-1151-4

Springer-Verlag GmbH Germany, part of Springer Nature 2019 ;COPYRIGHT 2019 Springer ;Copyright Springer Nature B.V. 2019 ;Computational Mechanics is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-019-01740-0

Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;COPYRIGHT 2020 Springer ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-020-01880-8 ;PMID: 32836597

The Author(s) 2020 ;The Author(s) 2020. ;COPYRIGHT 2020 Springer ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-020-01888-0 ;PMID: 32836602

Springer-Verlag Berlin Heidelberg 2014 ;COPYRIGHT 2015 Springer ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-014-1109-y

Springer-Verlag GmbH Germany, part of Springer Nature 2021 ;COPYRIGHT 2021 Springer ;Springer-Verlag GmbH Germany, part of Springer Nature 2021. ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-020-01952-9

The Author(s) 2023 ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-023-02350-7

Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;COPYRIGHT 2020 Springer ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-020-01889-z ;PMID: 32836598

The Author(s) 2020 ;The Author(s) 2020. ;COPYRIGHT 2020 Springer ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-020-01876-4 ;PMID: 33029034

Springer-Verlag Berlin Heidelberg 2013 ;COPYRIGHT 2014 Springer ;Computational Mechanics is a copyright of Springer, (2013). All Rights Reserved. ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-013-0948-2

Springer-Verlag Berlin Heidelberg 2015 ;COPYRIGHT 2015 Springer ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-015-1166-x ;PMID: 26392645

Attribution ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-017-1440-1

Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;COPYRIGHT 2020 Springer ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-020-01899-x ;PMID: 32904431

Springer-Verlag GmbH Germany, part of Springer Nature 2021 ;COPYRIGHT 2022 Springer ;Springer-Verlag GmbH Germany, part of Springer Nature 2021. ;ISSN: 0178-7675 ;EISSN: 1432-0924 ;DOI: 10.1007/s00466-021-02108-z

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