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Journal articles on the topic 'Diffusion parameters'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

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. 04 (1996): 1061–76. http://dx.doi.org/10.1017/s0021900200100488.

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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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12

Dudás, Zoltán. "Equations and Verification of New Diffusion Parameters." Materials Science Forum 589 (June 2008): 293–97. http://dx.doi.org/10.4028/www.scientific.net/msf.589.293.

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This document shows the equations and some calculation results of two new Diffusion parameters. The Diffusion parameters assist the calculation of different temperature or time values for equivalent diffusion processes. The Diffusion parameters include temperature dependent and temperature independent factors. The document shows that the introduced Diffusion parameter is suitable for the accurate calculations of the temperature and time values for equal simple diffusion processes. The document shows, that the frequently used Larson-Miller parameter (LMP) does not give accurate results if we us

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13

Syková, Eva. "Diffusion Parameters of the Extracellular Space." Israel Journal of Chemistry 43, no. 1-2 (2003): 55–69. http://dx.doi.org/10.1560/11ga-dqd7-dc41-q1u7.

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14

Schubert, Anna-Lena, Gidon Frischkorn, Dirk Hagemann, and Andreas Voss. "Trait Characteristics of Diffusion Model Parameters." Journal of Intelligence 4, no. 3 (2016): 7. http://dx.doi.org/10.3390/jintelligence4030007.

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15

Cifelli, Mario, Giorgio Cinacchi, and Luca De Gaetani. "Smectic order parameters from diffusion data." Journal of Chemical Physics 125, no. 16 (2006): 164912. http://dx.doi.org/10.1063/1.2359428.

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16

Iliasova, NV, SV Nedosekova, AK Rebrov, PA Skovorodko, and JJ Roig. "Computational optimization of diffusion pump parameters." Vacuum 44, no. 5-7 (1993): 745–47. http://dx.doi.org/10.1016/0042-207x(93)90139-2.

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17

Goreham, Vincent C., and Craig B. Lake. "Influence of water on diffusion and porosity parameters of soil–cement materials." Canadian Geotechnical Journal 50, no. 4 (2013): 351–58. http://dx.doi.org/10.1139/cgj-2012-0224.

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In this paper a conservative tracer (tritiated water) is used to assess the diffusive properties of 14 different laboratory-prepared soil–cement mixtures. A single-reservoir diffusion test setup to determine the effective porosity (ne) and the effective diffusion coefficient (De) through saturated, monolithic, soil–cement materials is used to assess the importance of mixture design on ne and De. Values of De and ne were found to range from 2.5 × 10−10 to 7.0 × 10−10 m2/s and from 0.21 to 0.41, respectively. Results indicate that the water content of the initial mixture has a substantial effect

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18

GAZI, NURUL HUDA, and KALYAN DAS. "CONTROL OF PARAMETERS OF A DELAYED DIFFUSIVE AUTOTROPH HERBIVORE SYSTEM." Journal of Biological Systems 18, no. 02 (2010): 509–29. http://dx.doi.org/10.1142/s0218339010003305.

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This paper deals with the eco-biological dynamics of a delayed diffusive autotroph-herbivore population ecosystem with nutrient recycling. The real situation is represented by a set of two-dimensional nonlinear ordinary differential equations involving autotroph-herbivore biomass. Plant populations undergo critical changes with different amplitude in plant ecology. We propose a description of plant communities as interesting systems which resembles to the behavior of real media. The delay and diffusion parameter have a great role to shape the dynamical features of the system. We have studied t

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19

Veraart, Jelle, Dirk H. J. Poot, Wim Van Hecke, et al. "More accurate estimation of diffusion tensor parameters using diffusion kurtosis imaging." Magnetic Resonance in Medicine 65, no. 1 (2010): 138–45. http://dx.doi.org/10.1002/mrm.22603.

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20

Farley, K. A. "Helium diffusion parameters of hematite from a single-diffusion-domain crystal." Geochimica et Cosmochimica Acta 231 (June 2018): 117–29. http://dx.doi.org/10.1016/j.gca.2018.04.005.

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21

McNabb, Alex, and Grant Keady. "Diffusion and the torsion parameter." Journal of the Australian Mathematical Society. Series B. Applied Mathematics 35, no. 3 (1994): 289–301. http://dx.doi.org/10.1017/s0334270000009309.

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AbstractThe parameters describing the trapping kinetics of a linear model for diffusion, in solids involving a captured immobile phase of the diffusing entity, can be determined by measuring mean residence times for matter in the systems and evaluating the exponents for the final exponential decay rates of the diffusing entity from various shaped solids. The mean residence time for matter in a given region can be expressed in terms of a “torsion parameter” S which in the case of Dirichlet boundary conditions and cylindrical geometries, coincides with the torsional rigidity of the cylinder. The

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22

Leider, Colby. "Real‐time control of sound diffusion parameters." Journal of the Acoustical Society of America 113, no. 4 (2003): 2202. http://dx.doi.org/10.1121/1.4780194.

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23

Magomedov, M. N. "Self-diffusion parameters in carbon-subgroup crystals." Semiconductors 44, no. 3 (2010): 271–84. http://dx.doi.org/10.1134/s1063782610030012.

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24

Law, M. E. "Parameters for point-defect diffusion and recombination." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 10, no. 9 (1991): 1125–31. http://dx.doi.org/10.1109/43.85758.

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25

Krause, O., H. Ryssel, and P. Pichler. "Determination of aluminum diffusion parameters in silicon." Journal of Applied Physics 91, no. 9 (2002): 5645–49. http://dx.doi.org/10.1063/1.1465501.

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26

Price, Peter E., Sharon Wang, and Ilyess Hadj Romdhane. "Extracting effective diffusion parameters from drying experiments." AIChE Journal 43, no. 8 (1997): 1925–34. http://dx.doi.org/10.1002/aic.690430802.

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27

Kolobov, Yu R., G. P. Grabovetskaya, I. V. Patochka, and K. V. Ivanov. "Creep and diffusion parameters in submicrocrystalline metals." Russian Physics Journal 41, no. 3 (1998): 260–64. http://dx.doi.org/10.1007/bf02766422.

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28

Raiser, D., I. Rossini, and J. C. Sens. "Diffusion parameters at the Pt-Co interface." Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 89, no. 1-4 (1994): 183–85. http://dx.doi.org/10.1016/0168-583x(94)95169-1.

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29

Nenadálova, Šárka, Lukáš Balík, Milan Rydval, and Tomáš Bittner. "Diffusion Parameters of Basic Diffusion Adhesive Mortars with Silicate or Acrylic Plaster." Advanced Materials Research 1124 (September 2015): 16–22. http://dx.doi.org/10.4028/www.scientific.net/amr.1124.16.

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The paper summarizes the results of water vapour resistance factors of three commonly used compositions for wall finishing (basic adhesive diffusion mortar; basic adhesive diffusion mortar + silicate plaster; basic adhesive diffusion mortar + acrylic plaster). The border conditions of the measuring (temperature, relative humidity and barometric air pressure) and their impacts on the results are discussed as well.

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30

Dastgheib-Shirazi, Amir, Michael Steyer, Gabriel Micard, Hannes Wagner, Pietro P. Altermatt, and Giso Hahn. "Relationships between Diffusion Parameters and Phosphorus Precipitation during the POCl3 Diffusion Process." Energy Procedia 38 (2013): 254–62. http://dx.doi.org/10.1016/j.egypro.2013.07.275.

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31

Kaunietis, I., R. Šimkus, V. Laurinavičius, and F. Ivanauskas. "Apparent Parameters of Enzymatic Plate-Gap Electrode." Nonlinear Analysis: Modelling and Control 10, no. 3 (2005): 211. http://dx.doi.org/10.15388/na.2005.10.3.15120.

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It was suggested that reaction-diffusion conditions in pores of bulk enzymatic electrode resemble particular conditions in thin enzyme filled gap between parallel conducting plates. The plate-gap model of porous enzymatic electrode is based on the diffusion equations containing a nonlinear term related to the Michaelis-Menten kinetics of the enzymatic reaction inside the gap. Steady state current was calculated for the wide range of given values of substrate diffusion coefficient, depth of the gap and substrate concentrations. Simple approximate relationships between “apparent” parameters of a

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32

Bengtsson, Lisa, Sander Tijm, Filip Váňa, and Gunilla Svensson. "Impact of Flow-Dependent Horizontal Diffusion on Resolved Convection in AROME." Journal of Applied Meteorology and Climatology 51, no. 1 (2012): 54–67. http://dx.doi.org/10.1175/jamc-d-11-032.1.

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AbstractHorizontal diffusion in numerical weather prediction models is, in general, applied to reduce numerical noise at the smallest atmospheric scales. In convection-permitting models, with horizontal grid spacing on the order of 1–3 km, horizontal diffusion can improve the model skill of physical parameters such as convective precipitation. For instance, studies using the convection-permitting Applications of Research to Operations at Mesoscale model (AROME) have shown an improvement in forecasts of large precipitation amounts when horizontal diffusion is applied to falling hydrometeors. Th

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33

Bodnar, O. B., I. M. Aristova, A. A. Mazilkin, A. N. Chaika, and L. N. Pronina. "Non-Destructive Method of Diffusion Parameters Determination in Solids." Defect and Diffusion Forum 237-240 (April 2005): 438–43. http://dx.doi.org/10.4028/www.scientific.net/ddf.237-240.438.

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Diffusion of nitrogen implanted in tungsten and molybdenum single crystals has been investigated at temperature about 0.3 Tm (Tm is the melting point). Existence of several dopant atom fluxes is found in subsurface region of the ion implanted material. The diffusion coefficients of the nitrogen connected with the radiation damages and that with the bulk diffusion mechanism are determined. Change of the nitrogen surface concentration has been measured by Auger electron spectroscopy. Initial distribution of the nitrogen and diffusion profiles for various annealing time have been determined by se

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34

BARRETT, N. A., and C. C. COOK. "The Calculation of Diffusion Parameters for Diffusion-controlled Dyeing from a Finite Bath." Journal of the Society of Dyers and Colourists 93, no. 9 (2008): 335–37. http://dx.doi.org/10.1111/j.1478-4408.1977.tb03366.x.

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35

Espinoza-Andaluz, Mayken, Tingshuai Li, and Martin Andersson. "Impact of water-drop presence on diffusion parameters of PEFC gas diffusion layers." Energy Procedia 158 (February 2019): 1400–1405. http://dx.doi.org/10.1016/j.egypro.2019.01.341.

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36

Alexandrowicz, Rainer W. "The diffusion model visualizer: an interactive tool to understand the diffusion model parameters." Psychological Research 84, no. 4 (2018): 1157–65. http://dx.doi.org/10.1007/s00426-018-1112-6.

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37

KIM, MOON-SOO, and HO KIM. "INNOVATION DIFFUSION OF TELECOMMUNICATIONS: GENERAL PATTERNS, DIFFUSION CLUSTERS AND DIFFERENCES BY TECHNOLOGICAL ATTRIBUTE." International Journal of Innovation Management 08, no. 02 (2004): 223–41. http://dx.doi.org/10.1142/s136391960400099x.

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We investigated the patterns of the technological diffusions of 17 Korean information and telecommunications (IT) innovations by applying various diffusion models, where the Bass model was chosen the most robust one. Although the internal influence dominates diffusion process for most innovations, the external influence was found to be meaningful to Korean IT diffusion compared with US's. Based on estimated parameters — penetration rate, innovation and imitation coefficients, we conducted cluster analysis, which resulted in four clusters and two isolated innovations. Differences of diffusion p

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38

Aleshin, A. N., R. G. Faulkner, and Lasar S. Shvindlerman. "Effect of Grain Boundary Structure on Diffusion Parameters." Defect and Diffusion Forum 194-199 (April 2001): 1147–52. http://dx.doi.org/10.4028/www.scientific.net/ddf.194-199.1147.

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39

Llera-Hurlburt, D., A. S. Dalton, and E. G. Seebauer. "Temperature-dependent surface diffusion parameters on amorphous materials." Surface Science 504 (April 2002): 244–52. http://dx.doi.org/10.1016/s0039-6028(02)01106-8.

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40

Widjaja, Elysa, Xingchang Wei, Logi Vidarsson, Rahim Moineddin, Christopher K. Macgowan, and Daniel Nilsson. "Alteration of diffusion tensor parameters in postmortem brain." Magnetic Resonance Imaging 27, no. 6 (2009): 865–70. http://dx.doi.org/10.1016/j.mri.2008.11.009.

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41

Jordan, L. R., A. K. Shukla, T. Behrsing, N. R. Avery, B. C. Muddle, and M. Forsyth. "Diffusion layer parameters influencing optimal fuel cell performance." Journal of Power Sources 86, no. 1-2 (2000): 250–54. http://dx.doi.org/10.1016/s0378-7753(99)00489-9.

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42

Webb, S. D., and J. A. Sherratt. "Oscillatory reaction-diffusion equations with temporally varying parameters." Mathematical and Computer Modelling 39, no. 1 (2004): 45–60. http://dx.doi.org/10.1016/s0895-7177(04)90505-5.

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43

Yufeng Zhu, P. Garigipati, P. Peers, P. Debevec, and A. Ghosh. "Estimating Diffusion Parameters from Polarized Spherical-Gradient Illumination." IEEE Computer Graphics and Applications 33, no. 3 (2013): 34–43. http://dx.doi.org/10.1109/mcg.2013.22.

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44

Kizilyalli, I. C., T. L. Rich, F. A. Stevie, and C. S. Rafferty. "Diffusion parameters of indium for silicon process modeling." Journal of Applied Physics 80, no. 9 (1996): 4944–47. http://dx.doi.org/10.1063/1.363537.

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45

Rimmer, Alon, Werner Eckert, Aminadav Nishri, and Yehuda Agnon. "Evaluating hypolimnetic diffusion parameters in thermally stratified lakes." Limnology and Oceanography 51, no. 4 (2006): 1906–14. http://dx.doi.org/10.4319/lo.2006.51.4.1906.

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46

Degrazia, G. A., O. L. L. Moraes, and J. Goedert. "Estimation of Lagrangian parameters from a diffusion experiment." Il Nuovo Cimento C 14, no. 6 (1991): 615–21. http://dx.doi.org/10.1007/bf02507389.

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47

Drozdowicz, K., and U. Woznicka. "High-precision thermal neutron diffusion parameters for Plexiglass." Journal of Physics D: Applied Physics 20, no. 8 (1987): 985–93. http://dx.doi.org/10.1088/0022-3727/20/8/001.

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48

Campbell, C. E. "A New Technique for Evaluating Diffusion Mobility Parameters." Journal of Phase Equilibria & Diffusion 26, no. 5 (2005): 435–40. http://dx.doi.org/10.1361/154770305x66484.

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49

Campbell, C. E. "A new technique for evaluating diffusion mobility parameters." Journal of Phase Equilibria and Diffusion 26, no. 5 (2005): 435–40. http://dx.doi.org/10.1007/s11669-005-0031-6.

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50

Kim, Yongku, Suk Bok Kang, and L. Mark Berliner. "Bayesian diffusion process models with time-varying parameters." Journal of the Korean Statistical Society 41, no. 1 (2012): 137–44. http://dx.doi.org/10.1016/j.jkss.2011.08.001.

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