diff --git a/smact/__init__.py b/smact/__init__.py
index e19dc51..9d358a9 100644
--- a/smact/__init__.py
+++ b/smact/__init__.py
@@ -73,6 +73,16 @@ class Element:
 
         Element.HHI_r (float) : Hirfindahl-Hirschman Index for elemental reserves
 
+        Element.mendeleev (int): Mendeleev number
+
+        Element.AtomicWeight (float): Atomic weight
+
+        Element.MeltingT (float): Melting temperature in K
+
+        Element.num_valence (int): Number of valence electrons
+
+
+
     Raises:
         NameError: Element not found in element.txt
         Warning: Element not found in Eigenvalues.csv
@@ -140,6 +150,18 @@ def __init__(
         else:
             sse_Pauling = None
 
+        magpie_data = data_loader.lookup_element_magpie_data(symbol)
+        if magpie_data:
+            mendeleev = magpie_data["MendeleevNumber"]
+            AtomicWeight = magpie_data["AtomicWeight"]
+            MeltingT = magpie_data["MeltingT"]
+            num_valence = magpie_data["NValence"]
+        else:
+            mendeleev = None
+            AtomicWeight = None
+            MeltingT = None
+            num_valence = None
+
         for attribute, value in (
             ("coord_envs", coord_envs),
             ("covalent_radius", dataset["r_cov"]),
@@ -174,6 +196,10 @@ def __init__(
             ("SSE", sse),
             ("SSEPauling", sse_Pauling),
             ("symbol", symbol),
+            ("mendeleev", mendeleev),
+            ("AtomicWeight", AtomicWeight),
+            ("MeltingT", MeltingT),
+            ("num_valence", num_valence),
             # ('vdw_radius', dataset['RVdW']),
         ):
             setattr(self, attribute, value)
diff --git a/smact/data/magpie.csv b/smact/data/magpie.csv
new file mode 100644
index 0000000..9c75e52
--- /dev/null
+++ b/smact/data/magpie.csv
@@ -0,0 +1,98 @@
+element,Number,MendeleevNumber,AtomicWeight,MeltingT,Column,Row,CovalentRadius,Electronegativity,NsValence,NpValence,NdValence,NfValence,NValence,NsUnfilled,NpUnfilled,NdUnfilled,NfUnfilled,NUnfilled,GSvolume_pa,GSbandgap,GSmagmom,SpaceGroupNumber
+H,1.0,92.0,1.00794,14.01,1.0,1.0,31.0,2.2,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,6.615,7.853,0.0,194.0
+He,2.0,98.0,4.002602,1211.4,18.0,1.0,28.0,1.63,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,12.305,18.098,0.0,225.0
+Li,3.0,1.0,6.941,453.69,1.0,2.0,128.0,0.98,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,16.5933333333,0.0,0.0,229.0
+Be,4.0,67.0,9.012182,1560.0,2.0,2.0,96.0,1.57,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,7.89,0.0,0.0,194.0
+B,5.0,72.0,10.811,2348.0,13.0,2.0,84.0,2.04,2.0,1.0,0.0,0.0,3.0,0.0,5.0,0.0,0.0,5.0,7.1725,1.524,0.0,166.0
+C,6.0,77.0,12.0107,3823.0,14.0,2.0,76.0,2.55,2.0,2.0,0.0,0.0,4.0,0.0,4.0,0.0,0.0,4.0,5.64,4.496,0.0,194.0
+N,7.0,82.0,14.0067,63.05,15.0,2.0,71.0,3.04,2.0,3.0,0.0,0.0,5.0,0.0,3.0,0.0,0.0,3.0,14.76875,6.437,0.0,194.0
+O,8.0,87.0,15.9994,54.8,16.0,2.0,66.0,3.44,2.0,4.0,0.0,0.0,6.0,0.0,2.0,0.0,0.0,2.0,9.105,0.0,0.0,12.0
+F,9.0,93.0,18.9984032,53.5,17.0,2.0,57.0,3.98,2.0,5.0,0.0,0.0,7.0,0.0,1.0,0.0,0.0,1.0,9.7075,1.97,0.0,15.0
+Ne,10.0,99.0,20.1791,24.56,18.0,2.0,58.0,1.63,2.0,6.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,12.64,13.088,0.0,225.0
+Na,11.0,2.0,22.98976928,370.87,1.0,3.0,166.0,0.93,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,29.2433333333,0.0,0.0,229.0
+Mg,12.0,68.0,24.305,923.0,2.0,3.0,141.0,1.31,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,22.89,0.0,0.0,194.0
+Al,13.0,73.0,26.9815386,933.47,13.0,3.0,121.0,1.61,2.0,1.0,0.0,0.0,3.0,0.0,5.0,0.0,0.0,5.0,16.48,0.0,0.0,225.0
+Si,14.0,78.0,28.0855,1687.0,14.0,3.0,111.0,1.9,2.0,2.0,0.0,0.0,4.0,0.0,4.0,0.0,0.0,4.0,20.44,0.773,0.0,227.0
+P,15.0,83.0,30.973762,317.3,15.0,3.0,107.0,2.19,2.0,3.0,0.0,0.0,5.0,0.0,3.0,0.0,0.0,3.0,22.5702380952,1.625,0.0,2.0
+S,16.0,88.0,32.065,388.36,16.0,3.0,105.0,2.58,2.0,4.0,0.0,0.0,6.0,0.0,2.0,0.0,0.0,2.0,25.786875,2.202,0.0,70.0
+Cl,17.0,94.0,35.453,171.6,17.0,3.0,102.0,3.16,2.0,5.0,0.0,0.0,7.0,0.0,1.0,0.0,0.0,1.0,24.4975,2.493,0.0,64.0
+Ar,18.0,100.0,39.948,83.8,18.0,3.0,106.0,1.63,2.0,6.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,28.54,9.26,0.0,225.0
+K,19.0,3.0,39.0983,336.53,1.0,4.0,203.0,0.82,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,73.1066666667,0.0,0.0,229.0
+Ca,20.0,7.0,40.078,1115.0,2.0,4.0,176.0,1.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,37.77,0.0,0.0,225.0
+Sc,21.0,11.0,44.955912,1814.0,3.0,4.0,170.0,1.36,2.0,0.0,1.0,0.0,3.0,0.0,0.0,9.0,0.0,9.0,22.235,0.0,6.35e-06,194.0
+Ti,22.0,43.0,47.867,1941.0,4.0,4.0,160.0,1.54,2.0,0.0,2.0,0.0,4.0,0.0,0.0,8.0,0.0,8.0,16.69,0.0,2.25333333333e-05,194.0
+V,23.0,46.0,50.9415,2183.0,5.0,4.0,153.0,1.63,2.0,0.0,3.0,0.0,5.0,0.0,0.0,7.0,0.0,7.0,13.01,0.0,0.0,229.0
+Cr,24.0,49.0,51.9961,2180.0,6.0,4.0,139.0,1.66,1.0,0.0,5.0,0.0,6.0,1.0,0.0,5.0,0.0,6.0,11.19,0.0,0.0,229.0
+Mn,25.0,52.0,54.938045,1519.0,7.0,4.0,139.0,1.55,2.0,0.0,5.0,0.0,7.0,0.0,0.0,5.0,0.0,5.0,10.4875862069,0.0,0.000310120689655,217.0
+Fe,26.0,55.0,55.845,1811.0,8.0,4.0,132.0,1.83,2.0,0.0,6.0,0.0,8.0,0.0,0.0,4.0,0.0,4.0,10.73,0.0,2.1106628,229.0
+Co,27.0,58.0,58.933195,1768.0,9.0,4.0,126.0,1.88,2.0,0.0,7.0,0.0,9.0,0.0,0.0,3.0,0.0,3.0,10.245,0.0,1.5484712,194.0
+Ni,28.0,61.0,58.6934,1728.0,10.0,4.0,124.0,1.91,2.0,0.0,8.0,0.0,10.0,0.0,0.0,2.0,0.0,2.0,10.32,0.0,0.5953947,225.0
+Cu,29.0,64.0,63.546,1357.77,11.0,4.0,132.0,1.9,1.0,0.0,10.0,0.0,11.0,1.0,0.0,0.0,0.0,1.0,11.07,0.0,0.0,225.0
+Zn,30.0,69.0,65.38,692.68,12.0,4.0,122.0,1.65,2.0,0.0,10.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,13.96,0.0,0.0,194.0
+Ga,31.0,74.0,69.723,302.91,13.0,4.0,122.0,1.81,2.0,1.0,10.0,0.0,13.0,0.0,5.0,0.0,0.0,5.0,18.8575,0.0,0.0,64.0
+Ge,32.0,79.0,72.64,1211.4,14.0,4.0,120.0,2.01,2.0,2.0,10.0,0.0,14.0,0.0,4.0,0.0,0.0,4.0,23.005,0.383,0.0,225.0
+As,33.0,84.0,74.9216,1090.0,15.0,4.0,119.0,2.18,2.0,3.0,10.0,0.0,15.0,0.0,3.0,0.0,0.0,3.0,22.175,0.0,0.0,166.0
+Se,34.0,89.0,78.96,494.0,16.0,4.0,120.0,2.55,2.0,4.0,10.0,0.0,16.0,0.0,2.0,0.0,0.0,2.0,25.92,0.799,0.0,14.0
+Br,35.0,95.0,79.904,265.8,17.0,4.0,120.0,2.96,2.0,5.0,10.0,0.0,17.0,0.0,1.0,0.0,0.0,1.0,29.48,1.457,0.0,64.0
+Kr,36.0,101.0,83.798,115.79,18.0,4.0,116.0,3.0,2.0,6.0,10.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,36.06,7.535,0.0,225.0
+Rb,37.0,4.0,85.4678,312.46,1.0,5.0,220.0,0.82,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,90.7225,0.0,0.0,229.0
+Sr,38.0,8.0,87.62,1050.0,2.0,5.0,195.0,0.95,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,54.23,0.0,0.0,225.0
+Y,39.0,12.0,88.90585,1799.0,3.0,5.0,190.0,1.22,2.0,0.0,1.0,0.0,3.0,0.0,0.0,9.0,0.0,9.0,32.365,0.0,0.0,194.0
+Zr,40.0,44.0,91.224,2128.0,4.0,5.0,175.0,1.33,2.0,0.0,2.0,0.0,4.0,0.0,0.0,8.0,0.0,8.0,23.195,0.0,0.0,194.0
+Nb,41.0,47.0,92.90638,2750.0,5.0,5.0,164.0,1.6,1.0,0.0,4.0,0.0,5.0,1.0,0.0,6.0,0.0,7.0,18.18,0.0,0.0,229.0
+Mo,42.0,50.0,95.96,2896.0,6.0,5.0,154.0,2.16,1.0,0.0,5.0,0.0,6.0,1.0,0.0,5.0,0.0,6.0,15.69,0.0,0.0,229.0
+Tc,43.0,53.0,98.0,2430.0,7.0,5.0,147.0,1.9,2.0,0.0,5.0,0.0,7.0,0.0,0.0,5.0,0.0,5.0,14.285,0.0,0.0,194.0
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+Rh,45.0,59.0,102.9055,2237.0,9.0,5.0,142.0,2.28,1.0,0.0,8.0,0.0,9.0,1.0,0.0,2.0,0.0,3.0,13.64,0.0,0.0,225.0
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+Ag,47.0,65.0,107.8682,1234.93,11.0,5.0,145.0,1.93,1.0,0.0,10.0,0.0,11.0,1.0,0.0,0.0,0.0,1.0,16.33,0.0,0.0,225.0
+Cd,48.0,70.0,112.411,594.22,12.0,5.0,144.0,1.69,2.0,0.0,10.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,19.495,0.0,0.0,194.0
+In,49.0,75.0,114.818,429.75,13.0,5.0,142.0,1.78,2.0,1.0,10.0,0.0,13.0,0.0,5.0,0.0,0.0,5.0,24.26,0.0,0.0,139.0
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+Er,68.0,35.0,167.259,1770.0,3.0,6.0,189.0,1.24,2.0,0.0,0.0,12.0,14.0,0.0,0.0,0.0,2.0,2.0,30.585,0.0,0.0,194.0
+Tm,69.0,37.0,168.93421,1818.0,3.0,6.0,190.0,1.25,2.0,0.0,0.0,13.0,15.0,0.0,0.0,0.0,1.0,1.0,29.78,0.0,0.0,194.0
+Yb,70.0,39.0,173.054,1092.0,3.0,6.0,187.0,1.26,2.0,0.0,0.0,14.0,16.0,0.0,0.0,0.0,0.0,0.0,34.12,0.0,0.0,225.0
+Lu,71.0,41.0,174.9668,1936.0,3.0,6.0,187.0,1.27,2.0,0.0,1.0,14.0,17.0,0.0,0.0,9.0,0.0,9.0,28.865,0.0,0.0022471,194.0
+Hf,72.0,45.0,178.49,2506.0,4.0,6.0,175.0,1.3,2.0,0.0,2.0,14.0,18.0,0.0,0.0,8.0,0.0,8.0,22.2,0.0,0.0,194.0
+Ta,73.0,48.0,180.94788,3290.0,5.0,6.0,170.0,1.5,2.0,0.0,3.0,14.0,19.0,0.0,0.0,7.0,0.0,7.0,18.12,0.0,0.0,229.0
+W,74.0,51.0,183.84,3695.0,6.0,6.0,162.0,2.36,2.0,0.0,4.0,14.0,20.0,0.0,0.0,6.0,0.0,6.0,16.05,0.0,0.0,229.0
+Re,75.0,54.0,186.207,3459.0,7.0,6.0,151.0,1.9,2.0,0.0,5.0,14.0,21.0,0.0,0.0,5.0,0.0,5.0,14.655,0.0,0.0,194.0
+Os,76.0,57.0,190.23,3306.0,8.0,6.0,144.0,2.2,2.0,0.0,6.0,14.0,22.0,0.0,0.0,4.0,0.0,4.0,14.09,0.0,0.0,194.0
+Ir,77.0,60.0,192.217,2739.0,9.0,6.0,141.0,2.2,2.0,0.0,7.0,14.0,23.0,0.0,0.0,3.0,0.0,3.0,14.21,0.0,0.0,225.0
+Pt,78.0,63.0,195.084,2041.4,10.0,6.0,136.0,2.28,1.0,0.0,9.0,14.0,24.0,1.0,0.0,1.0,0.0,2.0,15.02,0.0,0.0,225.0
+Au,79.0,66.0,196.966569,1337.33,11.0,6.0,136.0,2.54,1.0,0.0,10.0,14.0,25.0,1.0,0.0,0.0,0.0,1.0,16.7,0.0,0.0,225.0
+Hg,80.0,71.0,200.59,234.32,12.0,6.0,132.0,2.0,2.0,0.0,10.0,14.0,26.0,0.0,0.0,0.0,0.0,0.0,25.2375862069,0.0,0.0,166.0
+Tl,81.0,76.0,204.3833,577.0,13.0,6.0,145.0,1.62,2.0,1.0,10.0,14.0,27.0,0.0,5.0,0.0,0.0,5.0,26.91,0.0,0.0,194.0
+Pb,82.0,81.0,207.2,600.61,14.0,6.0,146.0,2.33,2.0,2.0,10.0,14.0,28.0,0.0,4.0,0.0,0.0,4.0,28.11,0.0,0.0,225.0
+Bi,83.0,86.0,208.9804,544.4,15.0,6.0,148.0,2.02,2.0,3.0,10.0,14.0,29.0,0.0,3.0,0.0,0.0,3.0,32.95,0.0,0.0,12.0
+Po,84.0,91.0,209.0,527.0,16.0,6.0,140.0,2.0,2.0,4.0,10.0,14.0,30.0,0.0,2.0,0.0,0.0,2.0,38.73125,0.0,0.0,221.0
+At,85.0,97.0,210.0,575.0,17.0,6.0,150.0,2.2,2.0,5.0,10.0,14.0,31.0,0.0,1.0,0.0,0.0,1.0,38.73125,0.0,0.0,194.0
+Rn,86.0,103.0,222.0,202.0,18.0,6.0,150.0,1.63,2.0,6.0,10.0,14.0,32.0,0.0,0.0,0.0,0.0,0.0,38.73125,0.0,0.0,194.0
+Fr,87.0,6.0,223.0,1211.4,1.0,7.0,260.0,0.7,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,38.73125,0.0,0.0,194.0
+Ra,88.0,10.0,226.0,973.0,2.0,7.0,221.0,0.9,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,38.73125,0.0,0.0,229.0
+Ac,89.0,14.0,227.0,1323.0,3.0,7.0,215.0,1.1,2.0,0.0,1.0,0.0,3.0,0.0,0.0,9.0,0.0,9.0,44.5125,0.0,0.0,225.0
+Th,90.0,16.0,232.03806,2023.0,3.0,7.0,206.0,1.3,2.0,0.0,2.0,0.0,4.0,0.0,0.0,8.0,0.0,8.0,32.37,0.0,0.0,225.0
+Pa,91.0,18.0,231.03586,1845.0,3.0,7.0,200.0,1.5,2.0,0.0,1.0,2.0,5.0,0.0,0.0,9.0,12.0,21.0,25.18,0.0,0.0,139.0
+U,92.0,20.0,238.02891,1408.0,3.0,7.0,196.0,1.38,2.0,0.0,1.0,3.0,6.0,0.0,0.0,9.0,11.0,20.0,20.025,0.0,0.0,63.0
+Np,93.0,22.0,237.0,917.0,3.0,7.0,190.0,1.36,2.0,0.0,1.0,4.0,7.0,0.0,0.0,9.0,10.0,19.0,18.45375,0.0,0.0,62.0
+Pu,94.0,24.0,244.0,913.0,3.0,7.0,187.0,1.28,2.0,0.0,0.0,6.0,8.0,0.0,0.0,0.0,8.0,8.0,18.08,0.0,0.3180036375,11.0
+Am,95.0,26.0,243.0,1449.0,3.0,7.0,180.0,1.3,2.0,0.0,0.0,7.0,9.0,0.0,0.0,0.0,7.0,7.0,18.08,0.0,0.3180036375,194.0
+Cm,96.0,28.0,247.0,1618.0,3.0,7.0,169.0,1.3,2.0,0.0,1.0,7.0,10.0,0.0,0.0,9.0,7.0,16.0,18.08,0.0,0.3180036375,194.0
+Bk,97.0,30.0,247.0,1323.0,3.0,7.0,146.0,1.3,2.0,0.0,0.0,9.0,11.0,0.0,0.0,0.0,5.0,5.0,18.08,0.0,0.3180036375,194.0
diff --git a/smact/data_loader.py b/smact/data_loader.py
index 79e0dd8..2906cd6 100644
--- a/smact/data_loader.py
+++ b/smact/data_loader.py
@@ -13,6 +13,8 @@
 import csv
 import os
 
+import pandas as pd
+
 from smact import data_directory
 
 # Module-level switch: print "verbose" warning messages
@@ -822,3 +824,83 @@ def lookup_element_sse_pauling_data(symbol):
             )
 
         return None
+
+
+_element_magpie_data = None
+
+
+def lookup_element_magpie_data(symbol: str, copy: bool = True):
+    """
+    Retrieve element data contained in the Magpie representation.
+
+    Taken from Ward, L., Agrawal, A., Choudhary, A. et al.
+    A general-purpose machine learning framework for
+    predicting properties of inorganic materials.
+    npj Comput Mater 2, 16028 (2016).
+    https://doi.org/10.1038/npjcompumats.2016.28
+
+    Args:
+        symbol : the atomic symbol of the element to look up.
+        copy: if True (default), return a copy of the data dictionary,
+        rather than a reference to a cached object -- only use
+        copy=False in performance-sensitive code and where you are
+        certain the dictionary will not be modified!
+
+    Returns:
+        list:
+            Magpie features.
+        Returns None if the element was not found among the external
+        data.
+
+        Magpie features are dictionaries with the keys:
+
+
+
+
+    """
+
+    global _element_magpie_data
+
+    if _element_magpie_data is None:
+        _element_magpie_data = {}
+
+        df = pd.read_csv(os.path.join(data_directory, "magpie.csv"))
+        for _index, row in df.iterrows():
+            key = row.iloc[0]
+
+            dataset = {
+                "Number": int(row.iloc[1]),
+                "MendeleevNumber": int(row.iloc[2]),
+                "AtomicWeight": float(row.iloc[3]),
+                "MeltingT": float(row.iloc[4]),
+                "Column": int(row.iloc[5]),
+                "Row": int(row.iloc[6]),
+                "CovalentRadius": float(row.iloc[7]),
+                "Electronegativity": float(row.iloc[8]),
+                "NsValence": int(row.iloc[9]),
+                "NpValence": int(row.iloc[10]),
+                "NdValence": int(row.iloc[11]),
+                "NfValence": int(row.iloc[12]),
+                "NValence": int(row.iloc[13]),
+                "NsUnfilled": int(row.iloc[14]),
+                "NpUnfilled": int(row.iloc[15]),
+                "NdUnfilled": int(row.iloc[16]),
+                "NfUnfilled": int(row.iloc[17]),
+                "NUnfilled": int(row.iloc[18]),
+                "GSvolume_pa": float(row.iloc[19]),
+                "GSbandgap": float(row.iloc[20]),
+                "GSmagmom": float(row.iloc[21]),
+                "SpaceGroupNumber": int(row.iloc[22]),
+            }
+            _element_magpie_data[key] = dataset
+
+    if symbol in _element_magpie_data:
+        return _element_magpie_data[symbol]
+    else:
+        if _print_warnings:
+            print(
+                "WARNING: Magpie data for element {} not "
+                "found.".format(symbol)
+            )
+
+        return None