Found: 22
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On sparse regression, L<sub>p</sub>‐regularization, and automated model discovery.
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- International Journal for Numerical Methods in Engineering, 2024, v. 125, n. 14, p. 1, doi. 10.1002/nme.7481
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Benchmarking physics-informed frameworks for data-driven hyperelasticity.
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- Computational Mechanics, 2024, v. 73, n. 1, p. 49, doi. 10.1007/s00466-023-02355-2
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- Article
Identification of the concentration‐dependent viscoelastic constitutive parameters of gelatin by combining computational mechanics and machine learning.
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- PAMM: Proceedings in Applied Mathematics & Mechanics, 2021, v. 21, n. 1, p. 1, doi. 10.1002/pamm.202100250
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Constitutive artificial neural networks: a general anisotropic constitutive modeling framework utilizing machine learning.
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- PAMM: Proceedings in Applied Mathematics & Mechanics, 2021, v. 21, n. 1, p. 1, doi. 10.1002/pamm.202100072
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Effects of B.1.1.7 and B.1.351 on COVID-19 Dynamics: A Campus Reopening Study.
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- Archives of Computational Methods in Engineering, 2021, v. 28, n. 6, p. 4225, doi. 10.1007/s11831-021-09638-y
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Bayesian Physics-Based Modeling of Tau Propagation in Alzheimer's Disease.
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- Frontiers in Physiology, 2021, v. 12, p. 1, doi. 10.3389/fphys.2021.702975
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Global and local mobility as a barometer for COVID-19 dynamics.
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- Biomechanics & Modeling in Mechanobiology, 2021, v. 20, n. 2, p. 651, doi. 10.1007/s10237-020-01408-2
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- Article
Concentration‐Specific Constitutive Modeling of Gelatin Based on Artificial Neural Networks.
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- PAMM: Proceedings in Applied Mathematics & Mechanics, 2021, v. 20, n. 1, p. 1, doi. 10.1002/pamm.202000284
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- Article
Outbreak dynamics of COVID-19 in China and the United States.
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- Biomechanics & Modeling in Mechanobiology, 2020, v. 19, n. 6, p. 2179, doi. 10.1007/s10237-020-01332-5
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Is it safe to lift COVID-19 travel bans? The Newfoundland story.
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- Computational Mechanics, 2020, v. 66, n. 5, p. 1081, doi. 10.1007/s00466-020-01899-x
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The reproduction number of COVID-19 and its correlation with public health interventions.
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- Computational Mechanics, 2020, v. 66, n. 4, p. 1035, doi. 10.1007/s00466-020-01880-8
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- Article
A serial multiparametric quantitative magnetic resonance imaging study to assess proteoglycan depletion of human articular cartilage and its effects on functionality.
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- Scientific Reports, 2020, v. 10, n. 1, p. N.PAG, doi. 10.1038/s41598-020-72208-y
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Functional MRI Mapping of Human Meniscus Functionality and its Relation to Degeneration.
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- Scientific Reports, 2020, v. 10, n. 1, p. 1, doi. 10.1038/s41598-020-59573-4
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- Article
A generalized inelastic modeling concept for soft fibrous tissues.
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- GAMM Mitteilungen, 2019, v. 42, n. 4, p. N.PAG, doi. 10.1002/gamm.201900014
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Towards deep learned constitutive models based on two‐dimensional strain fields.
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- PAMM: Proceedings in Applied Mathematics & Mechanics, 2019, v. 19, n. 1, p. N.PAG, doi. 10.1002/pamm.201900159
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Comparative study of worm‐like chain models for collagen molecules.
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- PAMM: Proceedings in Applied Mathematics & Mechanics, 2018, v. 18, n. 1, p. 1, doi. 10.1002/pamm.201800111
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Emergence of aortic aneurysms due to failure of adhesive bonds between proteoglycans.
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- PAMM: Proceedings in Applied Mathematics & Mechanics, 2017, v. 17, n. 1, p. 193, doi. 10.1002/pamm.201710066
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Failure of adhesive bonds between proteoglycans causes viscoelasticity of soft tissues.
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- PAMM: Proceedings in Applied Mathematics & Mechanics, 2016, v. 16, n. 1, p. 87, doi. 10.1002/pamm.201610032
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- Article
Fatigue damage modeling of fibrous soft tissues.
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- PAMM: Proceedings in Applied Mathematics & Mechanics, 2016, v. 16, n. 1, p. 97, doi. 10.1002/pamm.201610037
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A multi-scale time-dependent constitutive model of soft collagenous tissue.
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- PAMM: Proceedings in Applied Mathematics & Mechanics, 2015, v. 15, n. 1, p. 95, doi. 10.1002/pamm.201510038
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Extremal loading of soft fibrous tissues: multi-scale mechanics and constitutive modeling.
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- PAMM: Proceedings in Applied Mathematics & Mechanics, 2015, v. 15, n. 1, p. 99, doi. 10.1002/pamm.201510040
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Micro-mechanical modeling of anisotropic inelastic response of soft tissues under supra-physiological loading.
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- PAMM: Proceedings in Applied Mathematics & Mechanics, 2014, v. 14, n. 1, p. 97, doi. 10.1002/pamm.201410036
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- Article