Solid−Liquid Equilibrium Thermodynamics:  Checking Stability in Multiphase Systems Using the Gibbs Energy Function

2001 ◽  
Vol 40 (3) ◽  
pp. 902-907 ◽  
Author(s):  
J. A. Reyes ◽  
J. A. Conesa ◽  
A. Marcilla ◽  
M. M. Olaya
Keyword(s):  
Gibbs Energy ◽  
Energy Function ◽  
Gibbs Energy Function ◽  
Equilibrium Thermodynamics ◽  
Liquid Equilibrium ◽  
Multiphase Systems ◽  
Solid Liquid

Real-time unstructured road detection based on CNN and Gibbs energy function

2021 ◽  
pp. 1-19
Author(s):  
Mingzhou Liu ◽  
Xin Xu ◽  
Jing Hu ◽  
Qiannan Jiang
Keyword(s):  
Gibbs Energy ◽  
Energy Function ◽  
Gaussian Mixture Models ◽  
Texture Features ◽  
Gaussian Mixture ◽  
Gibbs Energy Function ◽  
Road Detection ◽  
The Road ◽  
Detection Algorithms ◽  
Random Sample Consensus

Road detection algorithms with high robustness as well as timeliness are the basis for developing intelligent assisted driving systems. To improve the robustness as well as the timeliness of unstructured road detection, a new algorithm is proposed in this paper. First, for the first frame in the video, the homography matrix H is estimated based on the improved random sample consensus (RANSAC) algorithm for different regions in the image, and the features of H are automatically extracted using convolutional neural network (CNN), which in turn enables road detection. Secondly, in order to improve the rate of subsequent similar frame detection, the color as well as texture features of the road are extracted from the detection results of the first frame, and the corresponding Gaussian mixture models (GMMs) are constructed based on Orchard-Bouman, and then the Gibbs energy function is used to achieve road detection in subsequent frames. Finally, the above algorithm is verified in a real unstructured road scene, and the experimental results show that the algorithm is 98.4% accurate and can process 58 frames per second with 1024×960 pixels.

The Gibbs Energy Description of Nd:YAG System

2012 ◽  
Vol 512-515 ◽  
pp. 479-483 ◽  
Author(s):  
Xiao Jin Cui ◽  
Wei Pan
Keyword(s):  
Complex System ◽  
Gibbs Energy ◽  
Direct Effect ◽  
Energy Function ◽  
Yttrium Aluminum Garnet ◽  
Thermochemical Data ◽  
Gibbs Energy Function ◽  
Sublattice Model ◽  
Yttrium Aluminum ◽  
Compounds Stability

Sublattice model is used to describe the complex system, Neodymium-doped yttrium aluminum garnet (Nd:YAG), and then Gibbs energy function of Nd:YAG system is seriously evaluated, mainly focusing on the instability of NAG, which has a direct effect on the Gibbs energy of NAG as well as Nd:YAG. Incorporating the selected literature thermochemical data of Nd:YAG system with the reevaluated parameters in Gibbs energy function according to a method utilized for defining the instability of NAG, the Gibbs energy function is well described. Trying to be more convincible, the method utilized for defining compounds stability and reevaluating the parameters has been test in Al2O3-Nd2O3, Al2O3-Y2O3, Al2O3-Gd2O3, Al2O3-Sm2O3 systems, achieving a satisfying agreement.

B2 Phases and their Defect Structures: Part I. Ab Initio Enthalpy of Formation and Enthalpy of Mixing in the Al-Ni-Pt-Ru System

2004 ◽  
Vol 842 ◽  
Author(s):  
Sara Prins ◽  
Raymundo Arroyave ◽  
Chao Jiang ◽  
Zi-Kui Liu
Keyword(s):  
Gibbs Energy ◽  
Energy Function ◽  
Correlation Functions ◽  
Enthalpy Of Mixing ◽  
Enthalpies Of Formation ◽  
Gibbs Energy Function ◽  
First Principle ◽  
Defect Structures ◽  
Sublattice Model ◽  
Local Pair

ABSTRACTThe enthalpies of formation of the bcc phases in the Al-Ni-Pt-Ru system, particularly in the Al-Ru binary and Pt-Al-Ru ternary subsystems, were calculated by first principle methods. The enthalpies of formation for stoichiometric bcc-B2 phases have been calculated using both the GGA and LDA approximations, while the enthalpies of formation for B2 phases with large amounts of constitutional defects (both vacancies and anti-site atoms) were calculated using the Special Quasirandom Structures (SQS) approach. The enthalpies of mixing for the disordered bcc-A2 phases have also been calculated with SQS by mimicking the random bcc alloy with the local pair and multisite correlation functions. The calculated B2 lattice parameters for the different defect structures were compared with experimental results. These results are used as input values for the CALPHAD modified sublattice model to describe the A2/B2 phases with one Gibbs energy function.

Study on the solid-liquid equilibrium of l-malic acid in binary solvents

2021 ◽  
Vol 325 ◽  
pp. 115113
Author(s):  
Zhicheng Gao ◽  
Ying Li ◽  
Xunqiu Wang
Keyword(s):  
Malic Acid ◽  
Binary Solvents ◽  
Liquid Equilibrium ◽  
Solid Liquid
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