The Experts below are selected from a list of 11073 Experts worldwide ranked by ideXlab platform
A Z Francesconi - One of the best experts on this subject based on the ideXlab platform.
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application of the prigogine flory patterson model to excess molar enthalpy of binary liquid mixtures of 1 nonanol or 1 decanol with acetonitrile at atmospheric pressure and 298 15 303 15 and 308 15 k
Journal of Molecular Liquids, 2014Co-Authors: Dimas Henrique Lanfredi Viola, A Z FrancesconiAbstract:Abstract Excess molar enthalpy data of 1-nonanol + acetonitrile and 1-decanol + acetonitrile mixtures as a function of composition at atmospheric pressure at 298.15, 303.15 and 308.15 K have been used to test the applicability of the Prigogine–Flory–Patterson (PFP) model. Both systems exhibit positive excess molar enthalpy values over the whole composition range for the studied temperature range. The model has only one Adjustable Parameter and correlates the data within a standard deviation up to 309 J mol− 1. The interactional contribution of the model is the most important one to describe the experimental values.
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application of the prigogine flory patterson model to excess molar enthalpy of binary liquid mixtures containing acetonitrile and 1 alkanol
Journal of Molecular Liquids, 2008Co-Authors: A C Galvao, A Z FrancesconiAbstract:Abstract Excess molar enthalpy of acetonitrile + 1-pentanol and acetonitrile + 1-hexanol as a function of composition at 288.15, 293.15, 298.15 and 303.15 K under atmospheric pressure were used to test the applicability of the Prigogine–Flory–Patterson (PFP) model. The model, with only one Adjustable Parameter, shows to be able to correlate the experimental data of the investigated mixtures within a standard deviation up to 163 Jmol − 1 . The interactional contribution of the model plays the main role to describe the excess molar enthalpy and its ability of multiproperty description is not observed for the studied systems.
A C Galvao - One of the best experts on this subject based on the ideXlab platform.
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ability of the prigogine flory patterson model to predict partial molar volumes of binary liquid mixtures
Journal of Molecular Liquids, 2015Co-Authors: A C Galvao, L G Franzosi, R H Schneider, Weber Da Silva RobazzaAbstract:Abstract Thermodynamic properties of mixtures such as partial molar volume provide valuable information about the molecular interactions that take place in a liquid solution. Such studies are also fundamental for the test and development of theories and models. This work presents the ability of the Prigogine–Flory–Patterson model to predict partial molar volumes of binary liquid mixtures containing toluene and n -alkanes (C6, C7, C8, C9, C10, C12 and C16) at 298.15 K from excess molar volume data. The model was also applied to correlate the partial molar volume data. The results indicated that the model, which has just one Adjustable Parameter, is able to predict or correlate data of partial molar volume with high accuracy and robustness.
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application of the prigogine flory patterson model to excess molar enthalpy of binary liquid mixtures containing acetonitrile and 1 alkanol
Journal of Molecular Liquids, 2008Co-Authors: A C Galvao, A Z FrancesconiAbstract:Abstract Excess molar enthalpy of acetonitrile + 1-pentanol and acetonitrile + 1-hexanol as a function of composition at 288.15, 293.15, 298.15 and 303.15 K under atmospheric pressure were used to test the applicability of the Prigogine–Flory–Patterson (PFP) model. The model, with only one Adjustable Parameter, shows to be able to correlate the experimental data of the investigated mixtures within a standard deviation up to 163 Jmol − 1 . The interactional contribution of the model plays the main role to describe the excess molar enthalpy and its ability of multiproperty description is not observed for the studied systems.
Qing Jiang - One of the best experts on this subject based on the ideXlab platform.
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thickness dependent bandgap of transition metal dichalcogenides dominated by interlayer van der waals interaction
Physica E-low-dimensional Systems & Nanostructures, 2019Co-Authors: Xue Yao, Yaru Wang, Xingyou Lang, Yongfu Zhu, Qing JiangAbstract:Abstract Based on a bandgap thermodynamic approach, the thickness-dependent bandgap of two-dimensional transition metal dichalcogenides is modeled without any Adjustable Parameter. An efficient expansion in bandgap upon lowering the thickness is predicted. The thickness-dependence of bandgap is believed originated from the interlayer van der Waals (vdW) interaction, while the surface effect is characterized by the difference in atomic thermal vibration between the surface and the interior. Due to the suppression role of the interlayer vdW interaction on the thermal vibration of interior chalcogen atoms, the surface effect is variable, which changes from monotonic increase for sulfides to decrease for tellurides. The role of the interlayer vdW interaction depends on the polarity of metal-chalcogen bonds. The model predictions agree with available experiment and simulation results.
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size dependent cohesive energy of nanocrystals
Chemical Physics Letters, 2002Co-Authors: Qing Jiang, Jia LiAbstract:Our simple model for the size dependence of latent heat, free of any Adjustable Parameter, has been extended for the size dependence of cohesive energy, or boiling heat. The cohesive energy decreases strongly when the size of particles decreases to several nanometers. The model prediction is found to be in agreement with the experimental results of W and Mo nanoparticles.
Miroslav R Matausek - One of the best experts on this subject based on the ideXlab platform.
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control of stable integrating and unstable processes by the modified smith predictor
Journal of Process Control, 2012Co-Authors: Miroslav R Matausek, Aleksandar I RibicAbstract:Abstract The Modified Smith Predictor (MSP) is designed, and in the literature classified, as a Dead-Time Compensator for integrating processes. In the present paper it is shown that the MSP is a PID controller in series with a second-order filter, defined by the dead-time and an Adjustable Parameter. Optimization of the regulatory performance of this controller is performed under constraints on the robustness and sensitivity to measurement noise. Excellent performance/robustness tradeoff is obtained for stable, integrating and unstable processes, including dead-time, as confirmed by simulations and by experimental result obtained on a laboratory thermal process.
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a unified step response procedure for autotuning of pi controller and smith predictor for stable processes
Journal of Process Control, 2003Co-Authors: Miroslav R Matausek, Goran KvascevAbstract:Abstract The step response autotuning of PI controller and Smith dead-time compensator (DTC), for stable processes, is studied in detail. A simple and effective procedure proposed is based on the first-order plus dead-time model, obtained from the step response by measuring the time to go to ten and sixty three percent of the steady-state value of the process output. The tuning formulae derived contain an Adjustable Parameter, with a clear meaning with respect to the performance/robustness, enabling the user to specify its value within a well defined range, in accordance with the expected range of process Parameter variations and the controller used (PI or DTC). Comparison with recently proposed methods and experimental results presented confirm that high and consistent closed-loop system performance/robustness are obtained for a wide range of dynamic characteristics common to industrial processes.
Jia Li - One of the best experts on this subject based on the ideXlab platform.
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size dependent cohesive energy of nanocrystals
Chemical Physics Letters, 2002Co-Authors: Qing Jiang, Jia LiAbstract:Our simple model for the size dependence of latent heat, free of any Adjustable Parameter, has been extended for the size dependence of cohesive energy, or boiling heat. The cohesive energy decreases strongly when the size of particles decreases to several nanometers. The model prediction is found to be in agreement with the experimental results of W and Mo nanoparticles.
