ArticleJournal of the mechanical behavior of biomedical materials2015
Efficient and optimized identification of generalized Maxwell viscoelastic relaxation spectra.
Article in Journal of the mechanical behavior of biomedical materials, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Phantoms for use in optical coherence elastography.Journal of biomedical optics · 2026Review
- The KWW Relaxation Spectrum Determination Using the Post-Widder Inversion Formula.Materials (Basel, Switzerland) · 2026Article
- Synthetic Surrogates of Collagen-Rich Microenvironments: Integrating Modular Bioactive Fibrillar Structure and Tunable Viscoelasticity via Multifunctional Assembling Peptides.ACS central science · 2026Article
- 3D biomimetic niche modulates embryo development in vitro.Nature communications · 2026Article
- Fiber recruitment drives a phase transition of cell polarization at a critical cell spacing in matrix-mediated tissue remodeling.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- On Sampling-Times-Independent Identification of Relaxation Time and Frequency Spectra Models of Viscoelastic Materials Using Stress Relaxation Experiment Data.Materials (Basel, Switzerland) · 2025Article
- Bioinspired hierarchical porous tough adhesive to promote sealing of high-pressure bleeding.Bioactive materials · 2025Article
- Optimal Choice of the Regularization Parameter for Direct Identification of Polymers Relaxation Time and Frequency Spectra.Polymers · 2024Article
- Direct Identification of the Continuous Relaxation Time and Frequency Spectra of Viscoelastic Materials.Materials (Basel, Switzerland) · 2024Article
- Robust Recovery of Optimally Smoothed Polymer Relaxation Spectrum from Stress Relaxation Test Measurements.Polymers · 2024Article
- In situ assembly of an injectable cardiac stimulator.Nature communications · 2024Article
- Visco-hyperelastic material model fitting to experimental stress-strain curves using a genetic algorithm and its application to soft tissue simulants.Scientific reports · 2024Article
- In situ assembly of bioresorbable organic bioelectronics in the brain.Nature communications · 2023Article
- Myelination dictates axonal viscoelasticity.The European journal of neuroscience · 2023Article
- Effects of tendon viscoelasticity on the distribution of forces across sutures in a model tendon-to-bone repair.International journal of solids and structures · 2022Article
- Article
- Synthetic dynamic hydrogels promote degradation-independent in vitro organogenesis.Nature materials · 2022Article
- Microscale Creep and Stress Relaxation Experiments with Individual Collagen Fibrils.Optics and lasers in engineering · 2022Article
- Characterizing poroelasticity of biological tissues by spherical indentation: an improved theory for large relaxation.Journal of the mechanics and physics of solids · 2020Article
- Stress Relaxation and Creep of a Polymer-Aluminum Composite Produced through Selective Laser Sintering.Polymers · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Viscoelastic relaxation spectra are essential for predicting and interpreting the mechanical responses of materials and structures. For biological tissues, these spectra must usually be estimated from viscoelastic relaxation tests. Interpreting viscoelastic relaxation tests is challenging because the inverse problem is expensive computationally. We present here an efficient algorithm that enables rapid identification of viscoelastic relaxation spectra. The algorithm was tested against trial data to characterize its robustness and identify its limitations and strengths. The algorithm was then applied to identify the viscoelastic response of reconstituted collagen, revealing an extensive distribution of viscoelastic time constants.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.