Results 161 to 170 of about 96,771 (207)
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Experimental investigation and thermodynamic modelling of LiF-NdF3-DyF3 system
Journal of Alloys and Compounds, 2018Abstract Electrolysis of molten fluorides is one of the promising methods for the recovery and recycling of rare earth metals from used magnets. Due to the dearth of phase equilibria data for molten fluoride systems, thermodynamic modelling of LiF-DyF3-NdF3 system using the CALPHAD approach was carried out. Gibbs energy modelling for LiF-NdF3 and LiF-
A. Abbasalizadeh +7 more
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Leukaemia inhibitory factor (LIF) production in a mouse model of spinal trauma
Neuroscience Letters, 1998A model of spinal trauma was developed where spinal neurones of adult mice were exposed to the excitotoxic glutamate analogue beta-N-oxylamino-L-alanine (L-BOAA). After 24 h, the injured neurones received a single dose of [125I]-LIF at the same site of the spinal cord, and 2 h later, tissues were removed to assess the distribution of leukaemia ...
J B, Kurek +4 more
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Theoretical modeling of photodissociation dynamics of CH3I on LiF(001)
The Journal of Chemical Physics, 1993A new method is developed for the simulation of atoms and molecules interacting with ionic surfaces. This approach, based on a quasi-two-dimensional Ewald sum and a two-dimensional Fourier transformation, is capable of evaluating the long-range Coulomb interactions for a semi-infinite ionic solid.
Zhi-Hong Huang, Hua Guo
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3-Pentanone LIF at elevated temperatures and pressures: measurements and modeling
Applied Physics B, 2007The objective of this study is to investigate 3-pentanone fluorescence experiments in a constant volume vessel at high temperature and high pressure to underline the influent parameters in conditions close to those encountered in internal combustion engines. To obtain quantitative analysis, measured fluorescence signals must be corrected by considering
Modica, Vincent +2 more
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A versatile modeling tool for nitric oxide LIF spectra [PDF]
, 2003 Quantitative analysis of laser induced fluorescence signals of nitric oxide requires a thorough implementation of the effects of temperature, quenching, laser and detection properties on the measured signals. Over the past years, LIF properties of nitric oxide were studied for a range of conditions, from well-controlled burners to internal combustion ...
Bessler, Wolfgang G. +3 more
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Nonempirical calculations of models of interstitial defects in an LiF crystal
Bulletin of the Academy of Sciences of the USSR Division of Chemical Science, 1989Models of interstitial Li+ and F− ions in an LiF crystal have been calculated by the nonempirical Hartree-Fock-Roothaan method with the 4-31G+ basis and with the aid of a nonempirical pairwise potential. It has been shown that the energies needed for the adiabatic transfer of Li+ and F− ions from infinity to interstitial positions in Li4F4 cubes are ...
I. L. Shamovskii +3 more
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Model calculations of electronic excitation of Li adsorbed on LiF(001)
The Journal of Chemical Physics, 1991An efficient method to solve the three-dimensional Schrödinger equation of an adsorbed atom on a rigid corrugated surface is presented. Formulas for calculating the Franck–Condon coefficients on two potential surfaces are given. Numerical results are obtained for a model of Li adsorbed on the LiF(001) surface.
Yaakov Shima, Joel M. Bowman
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Dislocation-Limited Thermal Conductivity in LiF: Revisiting Perturbative Models
JOM, 2022L. Lindsay, R. Hanus, C. A. Polanco
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Track Interaction Model for Supralinearity and Sensitization in LiF-TLD 100
Physica Status Solidi (a), 1983Of the several models suggested for explaining supralinearity and sensitization in LiF-TLD 100, the track interaction model and the non-luminescent centres model are most satisfactory in explaining the experimental results. Objections have been raised against the track interaction model that it would predict to high sensitization and against its rapid ...
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A Computational Friendly Improved LIF Model Considering Refractory Period
2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI), 2023Diankun Wu, Jin Li, Jiuqi Yin
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