I’m pulling Mendeleev numbers using pymatgen.core.periodic_table’s Specie class (mendeleev_no attribute) and I noticed that the MN produced by pymatgen (cross-validated with the current values in periodic_table.json) is quite different from that which is found in the Villars paper.
Not only is it very different, but I don’t see any obvious pattern since it jumps around the periodic table (scheme is reproduced below). Does anyone know where to find context on this counting scheme?
X - MN
He - 1
Ne - 2
Ar - 3
Kr - 4
Xe - 5
Rn - 6
Fr - 7
Cs - 8
Rb - 9
K - 10
Na - 11
Li - 12
Ra - 13
Ba - 14
Sr - 15
Ca - 16
Yb - 17
Eu - 18
Sc - 19
Lu - 20
Tm - 21
Er - 22
Ho - 23
Dy - 24
Y - 25
Tb - 26
Gd - 27
Sm - 28
Pm - 29
Nd - 30
Pr - 31
Ce - 32
La - 33
Lr - 34
No - 35
Md - 36
Fm - 37
Es - 38
Cf - 39
Bk - 40
Cm - 41
Am - 42
Pu - 43
Np - 44
U - 45
Pa - 46
Th - 47
Ac - 48
Zr - 49
Hf - 50
Ti - 51
Ta - 52
Nb - 53
V - 54
W - 55
Mo - 56
Cr - 57
Re - 58
Tc - 59
Mn - 60
Fe - 61
Ru - 62
Os - 63
Co - 64
Rh - 65
Ir - 66
Ni - 67
Pt - 68
Pd - 69
Au - 70
Ag - 71
Cu - 72
Mg - 73
Hg - 74
Cd - 75
Zn - 76
Be - 77
Tl - 78
In - 79
Al - 80
Ga - 81
Pb - 82
Sn - 83
Ge - 84
Si - 85
B - 86
Bi - 87
Sb - 88
As - 89
P - 90
Po - 91
Te - 92
Se - 93
S - 94
C - 95
At - 96
I - 97
Br - 98
Cl - 99
N - 100
O - 101
F - 102
H - 103
Thanks,
Kyle
