A hierarchical Bayesian approach to regularization with application to the inference of relaxation spectra-Reference-Cited by-同舟云学术

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A hierarchical Bayesian approach to regularization with application to the inference of relaxation spectra

Published:2022-01 Issue:1 Volume:66 Page:125-145
ISSN:0148-6055
Container-title:Journal of Rheology
language:en
Short-container-title:Journal of Rheology

Author:

Kedari Sayali R.¹^ORCID,Atluri Gowtham²,Vemaganti Kumar¹^ORCID

Affiliation:

1. Department of Mechanical and Materials Engineering, University of Cincinnati, Ohio, 45221

2. Department of Electrical Engineering and Computer Science, University of Cincinnati, Ohio, 45221

Publisher

Society of Rheology

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Link

https://sor.scitation.org/doi/pdf/10.1122/8.0000232

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Wormlike Micelles revisited: A comparison of models for linear rheology;Journal of Non-Newtonian Fluid Mechanics;2023-12

2. Infrared blind spectral deconvolution with low-rank sparse regularization for small object tracking;Infrared Physics & Technology;2023-09

3. On Stieltjes Continued Fractions and Their Role in Determining Viscoelastic Spectra;Advanced Structured Materials;2023

4. Efficient test to evaluate the consistency of elastic and viscous moduli with Kramers–Kronig relations;Korea-Australia Rheology Journal;2022-09-27

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