Compute density at bubble line ! This function returns the density at bubble line from the state specified by the properties input Must be re-i

Below are direct calculations of the derivatives. Nothing * special is going on, we simply use the polynomial class to * derive the different functi

Partial derivative of entropy with respect to temperature at constant pressure and composition integrated in temperature

Shared property list for DmassT_INPUTS: (D, T) inputs, so outputs are p, h, s, u, w (speed of sound). Pressure rides EXP since it can span ~10 orders

Compute density at dew line ! This function returns the density at dew line from the state specified by the properties input Must be re-impleme

Thread-safe lazy build of H and S caloric superancillaries. Records the caller's IdealHelmholtzEnthalpyEntropyOffset (a1, a2) as the "stamp" — the ref

Compute dynamic viscosity ! This function returns the dynamic viscosity from the state specified by the properties input Must be re-implemented

Pick a representative single-phase (T, p) state for each benchmark fluid, run the AbstractState through update so tau/delta are well-defined, then ret

Determine the maximum heat transfer rate based on the external pinching analysis

Convert a string into the enum values

A static method that returns a list of SecCool solutions. Coefficients are fitted by calling fitFluid and then the objects sh

Fetch SDF from PubChem for *inchikey*, trying 3-D conformer first then 2-D. Results are cached in *cache_dir* and tracked in ``manifest.json`

Filter pranges to only those parts where the EOS can be evaluated at both endpoints.

Find the nearest cell with lower left coordinate (i,j) where (i,j) is a good node, and so are (i+1,j), (i,j+1), (i+1,j+1) This is needed for bicubic i

Find the nearest good neighbor node for inputs that are the same as the grid inputs If the straightforward node (i,j) obtained by bisection is no good

See: https://docutils.sourceforge.io/docs/ref/rst/roles.html#subscript

Return an RST string containing a ``.. raw:: html`` block with an embedded interactive py3Dmol viewer. The SDF data is inlined as a JS templ

Create a list of random chromosomes to seed our algorithm.

Starting with T,R as inputs, generate all other values

Get a CoolPropFluid instance stored in this library @param key Either a CAS number or the name (CAS number should be preferred) */

This function creates a formatted bibliography according to the defined parameters using Pybtex. Specify your desired output format us

Find the key in the library and convert to a citation, if it is not found, we return a footnote string for sphinx.

Returns a list of CoefficientData objects, which already contain all coefficients. These objects can be written to JSON without further p

For backwards-compatibility.

Returns a list of DigitalData objects, which contain data for the fitting. These objects only hold the data and you still have to call

Returns a list of CoefficientData objects, which already contain all coefficients. These objects can be written to JSON without further p

Returns a list of SolutionData objects, which contain data for fitting pure fluids. These objects only hold the data and you still have

Returns a list of DigitalData objects, which contain data for the fits. All objects here implement the fitFluid() function, which can

Returns a list of SolutionData objects, which contain data for fitting solutions. These objects only hold the data and you still have

Default implementation of the options-aware factory entry-point. Forwards to the no-options overload when `options_json` is empty or is the canonical

Modify the surface parameter Q_k of the sub group sgi

Construct the path to the HMX.BNC file

\brief Use the inverted pressure superancillary to calculate temperature given pressure \param p The pressure (not its logarithm!), in Pa \r

Return the maximum reduced temperature Ttilde = R*T*b/a supported by the superancillary for the given EOS.

Just a wrapper to call CoolProp