Substance
- Substance Name: zinc
- Formula: Zn
- Molecular Weight: 65.4 g/mol
- Identifiers:
- inchi: InChI=1S/Zn
- inchikey: HCHKCACWOHOZIP-UHFFFAOYSA-N
- casrn: 14018-82-7
- csmiles: [Zn]
- ismiles: [Zn]
- pubchemId: 23994
- iupacname: zinc
- wikidataId: Q758
- chemspiderId: 22430
- dsstoxcmpId: DTXCID004384
- ecnumber: 231-175-3
zinc
Systems and Datasets
- tin + zinc (Datasets: 1)
- Dataset 2 in paper 10.1016/j.tca.2007.01.009 (Dataseries: 2, Datapoints: 8, Quantity: Thermal conductivity)
- tin + zinc + indium (Datasets: 4)
- Dataset 2 in paper 10.1016/j.tca.2010.02.008 (Dataseries: 75, Datapoints: 76, Quantity: Excess molar enthalpy)
- Dataset 3 in paper 10.1016/j.tca.2010.02.008 (Dataseries: 1, Datapoints: 46, Quantity: Excess molar enthalpy)
- Dataset 4 in paper 10.1016/j.tca.2012.12.012 (Dataseries: 1, Datapoints: 8, Quantity: Thermal conductivity)
- Dataset 1 in paper 10.1016/j.tca.2013.06.039 (Dataseries: 3, Datapoints: 90, Quantity: Relative activity)
- aluminum + zinc + bismuth (Datasets: 3)
- Dataset 1 in paper 10.1016/j.tca.2012.07.033 (Dataseries: 1, Datapoints: 25, Quantity: Thermal conductivity)
- Dataset 6 in paper 10.1016/j.fluid.2010.02.029 (Dataseries: 1, Datapoints: 1, Quantity: Thermal conductivity)
- Dataset 7 in paper 10.1016/j.fluid.2010.02.029 (Dataseries: 1, Datapoints: 1, Quantity: Thermal conductivity)
- lithium + gallium + zinc (Datasets: 3)
- Dataset 1 in paper 10.1016/j.tca.2015.12.011 (Dataseries: 4, Datapoints: 72, Quantity: Excess molar enthalpy)
- Dataset 1 in paper 10.1016/j.tca.2017.10.004 (Dataseries: 1, Datapoints: 13, Quantity: Excess molar enthalpy)
- Dataset 2 in paper 10.1016/j.tca.2017.10.004 (Dataseries: 3, Datapoints: 18, Quantity: Excess molar enthalpy)
- lithium + zinc (Datasets: 2)
- Dataset 3 in paper 10.1016/j.tca.2017.10.004 (Dataseries: 1, Datapoints: 1, Quantity: Excess molar enthalpy)
- Dataset 1 in paper 10.1016/j.jct.2016.03.017 (Dataseries: 2, Datapoints: 25, Quantity: Excess molar enthalpy)
- gallium + zinc (Datasets: 5)
- Dataset 4 in paper 10.1016/j.tca.2017.10.004 (Dataseries: 1, Datapoints: 3, Quantity: Excess molar enthalpy)
- Dataset 1 in paper 10.1016/j.fluid.2017.03.025 (Dataseries: 6, Datapoints: 37, Quantity: Mass density)
- Dataset 2 in paper 10.1016/j.fluid.2017.03.025 (Dataseries: 6, Datapoints: 37, Quantity: Surface tension)
- Dataset 3 in paper 10.1016/j.fluid.2017.03.025 (Dataseries: 6, Datapoints: 37, Quantity: Dynamic viscosity)
- Dataset 1 in paper 10.1016/j.jct.2016.07.029 (Dataseries: 2, Datapoints: 44, Quantity: Excess molar enthalpy)
- aluminum + zinc (Datasets: 3)
- Dataset 1 in paper 10.1016/j.fluid.2016.03.013 (Dataseries: 3, Datapoints: 11, Quantity: Mass density)
- Dataset 2 in paper 10.1016/j.fluid.2016.03.013 (Dataseries: 3, Datapoints: 11, Quantity: Dynamic viscosity)
- Dataset 3 in paper 10.1016/j.fluid.2016.03.013 (Dataseries: 3, Datapoints: 11, Quantity: Surface tension)
- aluminum + lithium + zinc (Datasets: 4)
- Dataset 4 in paper 10.1016/j.fluid.2016.03.013 (Dataseries: 3, Datapoints: 12, Quantity: Mass density)
- Dataset 5 in paper 10.1016/j.fluid.2016.03.013 (Dataseries: 3, Datapoints: 12, Quantity: Dynamic viscosity)
- Dataset 6 in paper 10.1016/j.fluid.2016.03.013 (Dataseries: 3, Datapoints: 12, Quantity: Surface tension)
- Dataset 2 in paper 10.1016/j.jct.2015.09.008 (Dataseries: 3, Datapoints: 32, Quantity: Excess molar enthalpy)
- gallium + tin + zinc (Datasets: 8)
- Dataset 1 in paper 10.1016/j.fluid.2018.03.001 (Dataseries: 1, Datapoints: 10, Quantity: Mass density)
- Dataset 2 in paper 10.1016/j.fluid.2018.03.001 (Dataseries: 1, Datapoints: 10, Quantity: Dynamic viscosity)
- Dataset 3 in paper 10.1016/j.fluid.2018.03.001 (Dataseries: 1, Datapoints: 58, Quantity: Electrical conductivity)
- Dataset 4 in paper 10.1016/j.fluid.2018.03.001 (Dataseries: 1, Datapoints: 29, Quantity: Thermal conductivity)
- Dataset 5 in paper 10.1016/j.fluid.2018.03.001 (Dataseries: 1, Datapoints: 10, Quantity: Surface tension)
- Dataset 1 in paper 10.1016/j.fluid.2018.07.008 (Dataseries: 6, Datapoints: 50, Quantity: Mass density)
- Dataset 2 in paper 10.1016/j.fluid.2018.07.008 (Dataseries: 6, Datapoints: 50, Quantity: Dynamic viscosity)
- Dataset 3 in paper 10.1016/j.fluid.2018.07.008 (Dataseries: 6, Datapoints: 50, Quantity: Surface tension)