Table . Material properties (bulk and (LiNH2+2LiH)@(6-nm PC)) needed to determine the size of an LDV storage system using the Tankinator code. a All values are for the (LiNH2+2LiH)@(6-nm PC) composite material. b Thermodynamic values obtained from the desorption PCT curve. c Kinetic parameters for hydrogen desorption obtained by fitting Equation (2). Gravimetric capacity determined from the Sieverts data (Figure ). d Fraction of voids in the metal hydride bed. e gravimetric capacity (materials basis). Thermal conductivity and heat capacity. Thermal conductivity (k) measurements reveal that heat transfer in (LiNH2+2LiH)@(6-nm PC) is a factor of five faster than in bulk Li3N (Table ). Our measurements were made under 1 bar hydrogen rather than an inert gas since a hydrogen atmosphere is the technically relevant choice for metal hydride use in an application. The bulk material has a thermal conductivity of 0.59 W m -1 K -1 , whereas the nanoscale material is 3.1 W m -1 K -1 . The value for bulk (LiNH2+2LiH)@(6nm PC) is in agreement with reports in the literature for other metal hydrides. These results are also consistent with the prior literature showing that the addition of graphite or metals increases k. In the absence of experimental data for the nanoscale hydride-PC composite we assumed a value of 1000 J/kg/mol for the heat capacity of the tank (which includes the heat capacity of the heat exchanger tubes plus the heat capacity of the hydride multiplied by the mass of hydride in the tank), as well as for bulk (LiNH2+2LiH). Heat capacities for bulk and nanoscale LiNH2 and LiH estimated using DFT (Tables Sand S-) predict essentially no difference between the two, regardless of nanoparticle size and temperature.