High-temperature superconductivity in monolayer Bi2Sr2CaCu2O8+δ

Article
Extended Data Fig. 7 | Fourier transform of the conductance ratio map 
obtained on monolayer Bi2212 at various energies. Each panel displays a 
Fourier transform of the conductance ratio map r
Z
E
( , )
of nearly optimally 
doped monolayer Bi-2212 at the energy labelled on the panel. The r
Z
E
( , )
maps 
are obtained from a set of 200 × 200-pixel conductance maps taken on an area of 
500 Å × 500 Å with an energy resolution of 2 meV. Data were obtained from the 
same sample in Fig. 4 (here we show the full dataset).

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Extended Data Fig. 8 | Energy dispersion of the q-vectors. Amplitudes of 
measured q
i
(in units of 2π/a
0
) are plotted as functions of energy (i = 1 … 7, except 
that q
4
and q
5
are too weak to be detected). We followed the method described in 
ref. 
23
 to obtain q
i
. Solid lines are energy dispersion of the q-vectors expected in 
the octet model.

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Article
Extended Data Fig. 9 | Histograms of 
r
ΔΔ ( )
1
 gap maps in monolayer and bulk 
Bi-2212. Solid and empty symbols represent data from monolayer and bulk Bi-
2212, respectively. Δ
1
distributions in monolayers shift towards higher energies 
compared with those in bulk crystals. The shift reflects slight loss of oxygen 
doping during monolayer sample fabrication. Specifically, the doping level p is 
directly related to the average value of the pseudogap. From the average 
pseudogap, we estimate that p = 0.06±0.02, 0.16±0.02 and 0.19±0.02 for 
monolayers obtained from UD50, OP88 and OD55, respectively
23,36,73
. These 
values are lower than the doping levels extracted in the bulk crystals 
(p = 0.08±0.02, 0.17±0.02 and 0.22±0.01 for UD50, OP88 and OD55, 
respectively). Here we used the relations Δ
p
2 = 152 meV × (0.27 − )/0.22
1
for 
p
0.1 < < 0.22 and Δ
p
2 = 85 meV × (0.12 − )/0.02
1
for 
p
0.06 < < 0.08 to estimate 
the doping level in both bulk crystals and monolayers.

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