Exponential decay analysis: a flexible, robust, data-driven methodology for analyzing sorption kinetic data
Author:
Funder
Københavns Universitet
U.S. Forest Service
Publisher
Springer Science and Business Media LLC
Subject
Polymers and Plastics
Link
http://link.springer.com/content/pdf/10.1007/s10570-020-03552-5.pdf
Reference48 articles.
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2. Barkas WW (1932) Retention of moisture by wood. Nature 130:699–700. https://doi.org/10.1038/130699c0
3. Beck G, Thybring EE, Thygesen LG, Hill C (2018) Characterization of moisture in acetylated and propionylated radiata pine using low-field nuclear magnetic resonance (LFNMR) relaxometry. Holzforschung 72:225. https://doi.org/10.1515/hf-2017-0072
4. Berens AR, Hopfenberg HB (1978) Diffusion and relaxation in glassy polymer powders: 2. Separation of diffusion and relaxation parameters. Polymer 19:489–496. https://doi.org/10.1016/0032-3861(78)90269-0
5. Bertero M, Boccacci P, Pike ER (1982) On the recovery and resolution of exponential relaxation rates from experimental data: a singular-value analysis of the Laplace transform inversion in the presence of noise. P Roy Soc A-Math Phys 383:15–29. https://doi.org/10.1098/rspa.1982.0117
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