Due to their unique combination of properties, metallic glasses are of particular interest in numerous fields of engineering. [1] The much lower material cost, compared with Zr-based metallic glasses, [2] together with high corrosion and wear resistance, make Fe-based metallic glasses very attractive for industrial applications. [3] Due to the relatively small critical casting thickness of Fe-based metallic glasses (typically below 6 mm), industrial commercialization of Fe-based glass forming alloys are limited to applications such as anticorrosion or thermal-barrier coatings, applied, e.g., by spray coating methods [3,4] or laser cladding methods. [5,6] The often observed brittleness of Fe-based alloys has driven the development of Fe-based metallic glass compositions with improved ductility and glass-forming ability [7-9] and the development of bulk metallic glass matrix composites. [10-13] Previously, it was already demonstrated, that by, e.g., powder bed fusion (PBF), thermal spray additive manufacturing (TSAM), and direct energy deposition (DED) of FeCrMoCB a large variety of microstructures can be achieved: fully amorphous, dendrite-reinforced metal matrix composites, and fully crystalline. [14,15] Despite these developments, Fe-based metallic glasses have not found widespread use outside of coatings due to their exceptionally low fracture toughness in large glass-forming compositions and their reliance on volatile phosphorous in their tougher compositions. Tough Fe-based metallic glasses have been previously demonstrated in the FeNiBX system, but these are only accessible in the amorphous state through ultrarapid cooling. However, additive manufacturing of Fe-based metallic glasses will make it possible to realize bulk metallic glass parts from tough Fe-based alloys with low glass-forming ability. To avoid a time consuming, completely empirical process development for an additive manufacturing process, [15] numerical models of the fabrication process have nowadays become an essential instrument. Using the correct simulation models and precise thermophysical property data, the temperature distribution and history, fluid flows in the melt, porosity and other defect formation, as well as the formation of thermal stresses during the solidification in the additive manufacturing process can be predicted. [16] In a similar manner, this approach can also be used to improve simulation of other manufacturing processes, such as thermal spraying, laser cladding [17-20] and powder production by gas atomization [21,22] Consequently, process simulations based on precise thermophysical properties result in faster process development cycles. Such numerical simulations need not only to present the correct description of the involved physical phenomena, but they especially require the correct thermophysical properties of the alloy in the solid and liquid phases. While the relevant properties in the solid phase can be measured with commercial measurement equipment, container-based measurement methods for the liquid phase suff...