In order to gain a deeper understanding of the processes involved a multiscale map for crystallization kinetics from solution is developed based on physical-based equations helping in visualizing preferred length and time scales of a specific kinetic phenomena.
Empirical scoring functions use explicit equations based on physical properties of available ligand-receptor complexes.
Equations based on physical laws describe how variables in each box mainly pressure, temperature, humidity, and wind speed influence matching variables in adjacent ones.
It is based on physical space techniques for hyperbolic equations and it also provides meromorphic continuation of resolvents for even asymptotically hyperbolic metrics [269, §7.5].
Dynamic components like evaporator, condenser, etc. are modeled based on physical conservation laws given as partial differential equations (PDE).
The governing equations are derived based on physical neutral surface concept and high order shear deformation theory.
The gas interporosity flow equation, derived rigorously based on physical principles as shown above, is a better representation for the flow exchange between matrix and fracture system for the gas case.
The model equations are solved numerically based on physical properties of apple.
The objective of this paper is to present equations for these coefficients based on physical models and valid for systems in wide ranges of solubilities and supersaturations.
We can start from moment equations and then simply assume specific probability distribution based on physical argument, which means we give some specific relations between moments [16], [25].
