However, as stated in recent CALPHAD papers and meetings, such a Dinsdale/SGTE database will likely need to be corrected over time despite the utility in keeping a common base. In this case, most published assessments will likely have to be revised, similarly to rebuilding a house due to a severely broken foundation. This concept has also been depicted as an "inverted pyramid." Merely extending the current approach (limited to temperatures above room temperature) is a complex task. PyCalphad, a Python library, was designed to facilitate simple computational thermodynamics calculation using open source code. In complex systems, computational methods such as CALPHAD are employed to model thermodynamic properties for each phase and simulate multicomponent phase behavior. The application of CALPHAD to high pressures in some important applications, which are not restricted to one side of materials science like the Fe-C system, confirms experimental results by using computational thermodynamic calculations of phase relations in the Fe–C system at high pressures. Other scientists even considered viscosity and other physical parameters, which are beyond the domain of thermodynamics.