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Unfortunately, errors in formation enthalpy predicted by PBE are usually at the level of ~0.2 eV/atom, which leads to significant errors in predicting phase stability among dissimilar chemistries.
Therefore, equation of states models must be used with extreme caution when applied for predicting phase behavior over wide ranges of temperatures and pressures.
New alloying parameters are determined for the first time from the calculations of titanium alloys and employed for predicting phase stability and alloy properties in a reasonable manner.
A sound algorithm for predicting phase stability along with strict control over manufacturing steps are required in order to prevent possible in vivo surface degradation or implant fracture.
A thermodynamic model for predicting phase behavior of mixtures of hydrocarbons, organo-oxygenated compounds and water is required for the development of a biorefinery process simulator.
This opens up new possibilities in alloy design of glasses and predicting phase stability, which is extended to microstructure analysis in Fe based binary and multicomponent systems.
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Factors such as solute trapping, energies of defects need to be considered while predicting phases in HEAs prepared by non-equilibrium processes.
In the current study, we are interested in predicting phase-locking by deriving maps that combine PRCs with information arising directly from synapses that display frequency-dependent short-term plasticity.
Predicted phase diagrams from the hold-out test.
The model predicted phase of 163 ± 1° and 160 ± 1°, respectively (Table 1).
PRCs can be used to predict phase locking in networks of pulse coupled oscillators.
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