`feos.eos`¶

The eos module contains the EquationOfState object that contains all implemented equations of state. The State and PhaseEquilibrium objects are used to define thermodynamic conditions and – once created – can be used to compute properties.

If you want to adjust parameters of a model to experimental data you can use classes and utilities from the estimator module.

`EquationOfState`¶

`EquationOfState`	Collection of equations of state.
`EquationOfState.pcsaft`	PC-SAFT equation of state.
`EquationOfState.epcsaft`	ePC-SAFT equation of state.
`EquationOfState.gc_pcsaft`(parameters[, ...])	(heterosegmented) group contribution PC-SAFT equation of state.
`EquationOfState.peng_robinson`(parameters)	Peng-Robinson equation of state.
`EquationOfState.pets`(parameters[, max_eta])	PeTS equation of state.
`EquationOfState.python_residual`(residual)	Residual Helmholtz energy model from a Python class.
`EquationOfState.python_ideal_gas`(ideal_gas)	Ideal gas equation of state from a Python class.
`EquationOfState.uvtheory`	UV-Theory equation of state.
`EquationOfState.saftvrmie`(parameters[, ...])	SAFT-VR Mie equation of state.
`EquationOfState.saftvrqmie`(parameters[, ...])	SAFT-VRQ Mie equation of state.

Models defined in Python¶

`EquationOfState.python_residual`(residual)	Residual Helmholtz energy model from a Python class.
`EquationOfState.python_ideal_gas`(ideal_gas)	Ideal gas equation of state from a Python class.

Other data types¶

`Contributions`	Possible contributions that can be computed.
`Verbosity`	Level of detail in the iteration output.
`State`(eos[, temperature, volume, density, ...])	A thermodynamic state at given conditions.
`StateVec`(states)	A list of states that provides convenient getters for properties of all the individual states.
`PhaseEquilibrium`	A thermodynamic two phase equilibrium state.
`PhaseDiagram`(phase_equilibria)	Phase diagram for a pure component or a binary mixture.

The `estimator` module¶

Import¶

from feos.eos.estimator import Estimator, DataSet, Loss, Phase

`Estimator`(data, weights, losses)	A collection of `DataSet`s that can be used to compute metrics for experimental data.
`DataSet`	A collection of experimental data that can be used to compute cost functions and make predictions using an equation of state.
`Loss`	Collection of loss functions that can be applied to residuals to handle outliers.
`Phase`	Different phases of experimental data points.