3D computer models reference book “T-x-y diagrams of oxide systems”

Author(s):  
V.I. Lutsyk ◽  
V.P. Vorob'eva
2015 ◽  
Vol 230 ◽  
pp. 51-54 ◽  
Author(s):  
V.I. Lutsyk ◽  
V.P. Vorob'eva ◽  
Anna Zelenaya

The Reference Book of Ternary Oxide Systems phase diagrams computer models is presented. Its computer models of T-x-y diagrams give a possibility to calculate the mass balances at any temperature, to observe crystallization history and the process of microstructure forming at different crystallization stages. The investigation of concentration fields with the different phase constituents on the T-x-y diagram projection by means of its computer model is considered. Phase diagram of CaO-SiO2-Al2O3system is used as an example.


Author(s):  
K. L. Merkle

The atomic structures of internal interfaces have recently received considerable attention, not only because of their importance in determining many materials properties, but also because the atomic structure of many interfaces has become accessible to direct atomic-scale observation by modem HREM instruments. In this communication, several interface structures are examined by HREM in terms of their structural periodicities along the interface.It is well known that heterophase boundaries are generally formed by two low-index planes. Often, as is the case in many fcc metal/metal and metal/metal-oxide systems, low energy boundaries form in the cube-on-cube orientation on (111). Since the lattice parameter ratio between the two materials generally is not a rational number, such boundaries are incommensurate. Therefore, even though periodic arrays of misfit dislocations have been observed by TEM techniques for numerous heterophase systems, such interfaces are quasiperiodic on an atomic scale. Interfaces with misfit dislocations are semicoherent, where atomically well-matched regions alternate with regions of misfit. When the misfit is large, misfit localization is often difficult to detect, and direct determination of the atomic structure of the interface from HREM alone, may not be possible.


1989 ◽  
Vol 34 (10) ◽  
pp. 939-939
Author(s):  
Richard Carr ◽  
Elaine A. Blechman
Keyword(s):  

1997 ◽  
Vol 36 (04/05) ◽  
pp. 237-240
Author(s):  
P. Hammer ◽  
D. Litvack ◽  
J. P. Saul

Abstract:A computer model of cardiovascular control has been developed based on the response characteristics of cardiovascular control components derived from experiments in animals and humans. Results from the model were compared to those obtained experimentally in humans, and the similarities and differences were used to identify both the strengths and inadequacies of the concepts used to form the model. Findings were confirmatory of some concepts but contrary to some which are firmly held in the literature, indicating that understanding the complexity of cardiovascular control probably requires a combination of experiments and computer models which integrate multiple systems and allow for determination of sufficiency and necessity.


2020 ◽  
Vol 29 (4) ◽  
pp. 741-757
Author(s):  
Kateryna Hazdiuk ◽  
◽  
Volodymyr Zhikharevich ◽  
Serhiy Ostapov ◽  
◽  
...  

This paper deals with the issue of model construction of the self-regeneration and self-replication processes using movable cellular automata (MCAs). The rules of cellular automaton (CA) interactions are found according to the concept of equilibrium neighborhood. The method is implemented by establishing these rules between different types of cellular automata (CAs). Several models for two- and three-dimensional cases are described, which depict both stable and unstable structures. As a result, computer models imitating such natural phenomena as self-replication and self-regeneration are obtained and graphically presented.


2016 ◽  
Vol 44 (004) ◽  
pp. 160-162
Author(s):  
V. Kistanov
Keyword(s):  

2020 ◽  
Vol 16 (3) ◽  
pp. 194-200
Author(s):  
Shai Luria

Computer modeling of the wrist has followed other fields in the search for descriptive methods to understand the biomechanics of injury. Using patient-specific 3D computer models, we may better understand the biomechanics of wrist fractures in order to plan better care. We may better estimate fracture morphology and stability and evaluate surgical indications, design more adequate or effective surgical approaches and develop novel methods of therapy. The purpose of this review is to question the actual advances made in the understanding of wrist fractures using computer models.


1993 ◽  
Vol 3 (3) ◽  
pp. 273-279
Author(s):  
Alan N. Beard
Keyword(s):  

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