Relevant bibliographies by topics / Diffusion parameters

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Diffusion parameters'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Diffusion parameters"

1

Yarmolenko, M. V. "Method of Dislocation and Bulk Diffusion Parameters Determination." METALLOFIZIKA I NOVEISHIE TEKHNOLOGII 42, no. 11 (2020): 1537–46. http://dx.doi.org/10.15407/mfint.42.11.1537.

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Cheung, S. C. H. "Methods to measure apparent diffusion coefficients in compacted bentonite clays and data interpretation." Canadian Journal of Civil Engineering 16, no. 4 (1989): 434–43. http://dx.doi.org/10.1139/l89-073.

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The methods used to determine apparent diffusion coefficients and the appropriate parameters for modelling diffusion through compacted bentonite–water systems are assessed and discussed. The measured apparent diffusion coefficient can vary between methods. The discrepancies are shown to be due to heterogeneous diffusivities arising from the proximity of the surface of clay particles. Two different diffusivity pathways are identified and the diffusive flux is shown to be dictated by the charge of diffusing species, diffusion time, and soil fabric. Key words: apparent diffusion coefficient, meth
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Yu, An-Shui, Naoki Ono, Kohei Inoue, Kenji Hara, and Kiichi Urahama. "Optimal Parameters for Error-Diffusion Halftoning with Bilateral Filter." Journal of the Institute of Industrial Applications Engineers 6, no. 4 (2018): 144–47. http://dx.doi.org/10.12792/jiiae.6.144.

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Fukunaga, Issei, Masaaki Hori, Yoshitaka Masutani, et al. "Effects of diffusional kurtosis imaging parameters on diffusion quantification." Radiological Physics and Technology 6, no. 2 (2013): 343–48. http://dx.doi.org/10.1007/s12194-013-0206-5.

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Lin, Kuo-Wei. "Parameters analysis of fluid diffusion." Heat and Mass Transfer 43, no. 12 (2006): 1233–40. http://dx.doi.org/10.1007/s00231-006-0195-6.

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Ghodsi, Zara, Hossein Hassani, Mahdi Kalantari, and Emmanuel Sirimal Silva. "Estimation of protein diffusion parameters." Stat 7, no. 1 (2018): e192. http://dx.doi.org/10.1002/sta4.192.

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Fuentes, Montserrat. "Predicting integrals of diffusion processes with unknown diffusion parameters." Stochastics and Stochastic Reports 69, no. 3-4 (2000): 255–83. http://dx.doi.org/10.1080/17442500008834242.

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Lee, Ching-Hor, and Shi-Ping Teng. "A dual period diffusion model for measuring diffusion parameters." Waste Management 13, no. 1 (1993): 15–24. http://dx.doi.org/10.1016/0956-053x(93)90031-q.

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Li, Hai Bin, Qing Xue Huang, Jian Mei Wang, and Qin Ma. "Analysis on Diffusion Parameters of Rolling Mill Bearing Alloy-Interface." Advanced Materials Research 145 (October 2010): 177–80. http://dx.doi.org/10.4028/www.scientific.net/amr.145.177.

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In this paper, the diffusion quantity of different temperatures and unit time have been investigated basing on experimental results and theoretical analysis. The diffusing parameters of molten tin in the reaction process is investigated according to diffusing formula. The results within the range of 260～350°C indicates that the diffusing activation energy is increased with the time until the reaction ceases and it is decreased with the increasing of the temperature and substrate vacancy, but the average diffusing constant of tin increased with the temperature.
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Kloeden, P. E., E. Platen, H. Schurz, and M. Sørensen. "On effects of discretization on estimators of drift parameters for diffusion processes." Journal of Applied Probability 33, no. 4 (1996): 1061–76. http://dx.doi.org/10.2307/3214986.

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In this paper statistical properties of estimators of drift parameters for diffusion processes are studied by modern numerical methods for stochastic differential equations. This is a particularly useful method for discrete time samples, where estimators can be constructed by making discrete time approximations to the stochastic integrals appearing in the maximum likelihood estimators for continuously observed diffusions. A review is given of the necessary theory for parameter estimation for diffusion processes and for simulation of diffusion processes. Three examples are studied.
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Dissertations / Theses on the topic "Diffusion parameters"

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Rautu, S. Alex, George Rowlands, and Matthew S. Turner. "Stochastic fluctuations of vesicles – extracting material parameters from incomplete projected information." Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-183576.

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Rautu, S. Alex, George Rowlands, and Matthew S. Turner. "Stochastic fluctuations of vesicles – extracting material parameters from incomplete projected information: Stochastic fluctuations of vesicles – extracting material parameters fromincomplete projected information." Diffusion fundamentals 20 (2013) 70, S. 1, 2013. https://ul.qucosa.de/id/qucosa%3A13656.

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Pajevic, Sinisa, and George H. Weiss. "Effects of anisotropic optical parameters on the penetration of photons into a turbid medium." Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-194528.

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There are by now many applications of methods based on near- infrared radiation (NIR) used for optical imaging and therapeutic purposes in medical settings. Such optical techniques are appealing in not requiring potentially harmful ionizing radiation, being non-invasive, and generally being easily implementable. Since photons are randomly scattered by cell components, successful use of NIR requires knowledge of the photon trajectories expressed in statistical terminology. Until now the necessary analysis has been based on diffusion theory assuming that the scattering coefficient is an isotrop
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Pajevic, Sinisa, and George H. Weiss. "Effects of anisotropic optical parameters on the penetration of photons into a turbid medium: Effects of anisotropic optical parameters on the penetration ofphotons into a turbid medium." Diffusion fundamentals 4 (2007) 14, S.- 1-13, 2007. https://ul.qucosa.de/id/qucosa%3A14286.

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There are by now many applications of methods based on near- infrared radiation (NIR) used for optical imaging and therapeutic purposes in medical settings. Such optical techniques are appealing in not requiring potentially harmful ionizing radiation, being non-invasive, and generally being easily implementable. Since photons are randomly scattered by cell components, successful use of NIR requires knowledge of the photon trajectories expressed in statistical terminology. Until now the necessary analysis has been based on diffusion theory assuming that the scattering coefficient is an isotrop
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Cardaci, Santo C. "The passage of calcitonin through the dental root : in vitro studies of diffusion kinetics and parameters affecting diffusion /." Title page, Contents and Summary only, 1991. http://web4.library.adelaide.edu.au/theses/09DM/09dmc266.pdf.

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Morrissey, Patrick John. "Experimental study of parameters influencing diffusion of small molecules in polymer matrices." Thesis, Brunel University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.294506.

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Radchenko, Taras, Valentyn Tatarenko, and Sergiy Bokoch. "Calculation of diffusivities in ordering f.c.c. alloy by the kinetic data about short- and long-range order parameters’ relaxation." Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-196109.

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Phoenix, Robert Michael. "Characterisation of multiple metal ion-ligand interactions of biological significance using diffusion parameters." Thesis, University of Wolverhampton, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263333.

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Goldau, Rainer. "Clinical evaluation of novel methods to determine dialysis parameters using conductivity cells." Doctoral thesis, [S.l.] : [s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=966130324.

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Kumar, R. Anil. "Studies on Solar Cell AC Parameters (Instrumentation, Measurements and Applications)." Thesis, Indian Institute of Science, 2004. http://hdl.handle.net/2005/116.

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Photovoltaic (PV) conversion of solar energy appears to be one of the most promising ways of meeting the increasing energy demand. In space, photovoltaic power source is the only safe alternative. Conventional silicon solar cell technologies have seen several improvements and off late GaAs/Ge and multijunction solar cells are developed to improve conversion efficiency. Demand for higher power, smaller size, lesser weight and higher efficiency has necessitated the use of high frequency switching power conditioners, which requires a better understanding of the AC characteristics of the solar ce
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Books on the topic "Diffusion parameters"

1

Fisher, D. J. A directory of arrhenius parameters: Metals. Trans Tech, 2014.

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Phoenix, Robert Michael. Characterisation of multiple metal ion-ligand interactions of biological significance using diffusion parameters. University of Wolverhampton, 1997.

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3

Kubilius, Kęstutis, Yuliya Mishura, and Kostiantyn Ralchenko. Parameter Estimation in Fractional Diffusion Models. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71030-3.

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Sunahara, Y. A method of boundary parameter estimation for a two-dimensional diffusion system under noisy observations. ICASE, 1987.

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Berzin, Corinne, Alain Latour, and José R. León. Inference on the Hurst Parameter and the Variance of Diffusions Driven by Fractional Brownian Motion. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07875-5.

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6

Durham, J. Benson. Jump-diffusion processes and affine term structure models: Additional closed-form approximate solutions, distributional assumptions for jumps, and parameter estimates. Federal Reserve Board, 2005.

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7

Scialdone, John J. Gravimetric measurements of materials outgassing applied to graphite-epoxy laminates. National Aeronautics and Space Administration, Goddard Space Flight Center, 1989.

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Mishura, Yuliya, Kęstutis Kubilius, and Kostiantyn Ralchenko. Parameter Estimation in Fractional Diffusion Models. Springer, 2018.

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Mishura, Yuliya, Kęstutis Kubilius, and Kostiantyn Ralchenko. Parameter Estimation in Fractional Diffusion Models. Springer, 2019.

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Statistical Inference for Ergodic Diffusion Processes. Springer, 2003.

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Book chapters on the topic "Diffusion parameters"

1

Jacobs, P. W. M. "Calculation Op Point Defect Parameters in Ionic Materials." In Diffusion in Materials. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-1976-1_8.

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Moraes, Osvaldo L. L., and Gervasio A. Degrazia. "Lagrangian Parameters from Diffusion Experiments." In Air Pollution Modeling and Its Application VIII. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3720-5_83.

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Koza, Zbigniew. "Initially Separated A + B → 0 Reaction-Diffusion Systems with Arbitrary Initial Parameters." In Surface Diffusion. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-0262-7_61.

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Lesnic, Daniel. "Identification of Constant Parameters in Diffusion." In Inverse Problems with Applications in Science and Engineering. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9780429400629-9.

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Yang, Qianqian, Simon Puttick, Zara C. Bruce, Bryan W. Day, and Viktor Vegh. "Investigation of Changes in Anomalous Diffusion Parameters in a Mouse Model of Brain Tumour." In Computational Diffusion MRI. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52893-5_14.

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Bondarenko, Yu O., N. F. Voronina, and O. A. Shmatko. "Kinetic and Thermodynamic Precipitation Parameters of the Pb-Sn Solid Solutions." In Defect and Diffusion Forum. Trans Tech Publications Ltd., 2008. http://dx.doi.org/10.4028/3-908451-55-8.193.

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Hamad, M. A., A. M. Abdel Dayem, and M. M. El-Halwagi. "Design Parameters Affecting Success and Failure of Biogas Systems." In Biogas Technology, Transfer and Diffusion. Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4313-1_29.

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Scheel, Michael. "Diffusion-Based MRI: Imaging Basics and Clinical Applications." In Quantification of Biophysical Parameters in Medical Imaging. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65924-4_17.

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Domżał, Mariusz, Artur Ryt, Dawid Sobel, Jan Kwiatkowski, Karol Jędrasiak, and Aleksander Nawrat. "GPU-Based Parameters Estimation for Anisotropic Diffusion." In Studies in Systems, Decision and Control. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21118-3_8.

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Lánský, P., V. Giorno, A. G. Nobile, and L. M. Ricciardi. "A Diffusion Neuronal Model and its Parameters." In Biomathematics and Related Computational Problems. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2975-3_6.

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Conference papers on the topic "Diffusion parameters"

1

Nuernberg, Gustavo, Grégori Rosinski, Priscila Gonçalves, et al. "316L Stainless Steel Diffusion Bonding Optimized Parameters." In 24th ABCM International Congress of Mechanical Engineering. ABCM, 2017. http://dx.doi.org/10.26678/abcm.cobem2017.cob17-2078.

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Edwards, Brian, and Nader Engheta. "Asymmetrical Diffusion through Time-Varying Material Parameters." In CLEO: Applications and Technology. OSA, 2017. http://dx.doi.org/10.1364/cleo_at.2017.jtu5a.34.

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Akis, R., D. Brinkman, I. Sankin, et al. "Extracting Cu diffusion parameters in polycrystalline CdTe." In 2014 IEEE 40th Photovoltaic Specialists Conference (PVSC). IEEE, 2014. http://dx.doi.org/10.1109/pvsc.2014.6925635.

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Zhu, Yufeng, Pieter Peers, Paul Debevec, and Abhijeet Ghosh. "Estimating diffusion parameters from polarized spherical gradient illumination." In ACM SIGGRAPH 2012 Posters. ACM Press, 2012. http://dx.doi.org/10.1145/2343045.2343056.

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Lakkaraju, Kiran, and Ann Speed. "Key parameters for modeling information diffusion in populations." In 2010 IEEE International Conference on Technologies for Homeland Security (HST). IEEE, 2010. http://dx.doi.org/10.1109/ths.2010.5655100.

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Millane, Rick P., Adam M. Milstein, Quan Zhang, et al. "Imaging fluorescence parameters by Bayesian optical diffusion tomography." In International Symposium on Optical Science and Technology, edited by Philip J. Bones, Michael A. Fiddy, and Rick P. Millane. SPIE, 2002. http://dx.doi.org/10.1117/12.451799.

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Schneider, Patricia S., Alex Flamholz, Peter K. Wong, et al. "Examination of yeast cell parameters using light diffusion." In Photonics North, edited by John C. Armitage, Roger A. Lessard, and George A. Lampropoulos. SPIE, 2004. http://dx.doi.org/10.1117/12.567406.

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Dedecius, Kamil, and Vladimira Seckarova. "Diffusion estimation of mixture models with local and global parameters." In 2016 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2016. http://dx.doi.org/10.1109/ssp.2016.7551775.

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Korn, Andreas J., Lyudmila Mashonkina, Olivier Richard, Anna Frebel, Wako Aoki, and Norbert Christlieb. "HE 1327—2326: Stellar Parameters, Atomic Diffusion and Lithium abundance." In FIRST STARS III: First Stars II Conference. American Institute of Physics, 2008. http://dx.doi.org/10.1063/1.2905530.

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Zhou, Jianping, Hao Shen, and Zhen Wang. "Synchronization of Delayed Reaction-diffusion Neural Networks with Markovian Jumping Parameters." In 2nd International Conference on Computer Application and System Modeling. Atlantis Press, 2012. http://dx.doi.org/10.2991/iccasm.2012.253.

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Reports on the topic "Diffusion parameters"

1

Sittaramane, Azhagapattar, and Govindarajan Mahendran. Optimization of Diffusion Bonding Parameters of Dissimilar Aluminium Matrix Composites. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2019. http://dx.doi.org/10.7546/crabs.2019.04.11.

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Darling, R. W. Intrinsic Location Parameter of a Diffusion Process. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada436452.

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Zavarin, M. Matrix Diffusion and Colloid-Facilitated Transport in Fractured Rocks: Model and Parameter Validation. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/15013603.

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