Superconductivity without dependence on valence electron density in (Al, Zn, Co) doped YBCO systems
We adopted the x-ray diffraction, oxygen contents, positron annihilation technology and simulation methods to investigate systematically YBa₂Cu₃–x(Al,Zn,Co)xO₇–δ (x = 0–0.5) cuprates. The experimental results and simulated calculations support the existence of cluster effect. Moreover, it is conclud...
Збережено в:
Дата: | 2010 |
---|---|
Автори: | , , |
Формат: | Стаття |
Мова: | English |
Опубліковано: |
Фізико-технічний інститут низьких температур ім. Б.І. Вєркіна НАН України
2010
|
Назва видання: | Физика низких температур |
Теми: | |
Онлайн доступ: | http://dspace.nbuv.gov.ua/handle/123456789/116896 |
Теги: |
Додати тег
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|
Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
Цитувати: | Superconductivity without dependence on valence electron density in (Al, Zn, Co) doped YBCO systems / Z. Yufeng, W. Dandan, L. Pinglin // Физика низких температур. — 2010. — Т. 36, № 2. — С. 206-211. — Бібліогр.: 47 назв. — англ. |
Репозитарії
Digital Library of Periodicals of National Academy of Sciences of Ukraineid |
irk-123456789-116896 |
---|---|
record_format |
dspace |
spelling |
irk-123456789-1168962017-05-19T03:02:56Z Superconductivity without dependence on valence electron density in (Al, Zn, Co) doped YBCO systems Yufeng, Z. Dandan, W. Pinglin, L. Свеpхпpоводимость, в том числе высокотемпеpатуpная We adopted the x-ray diffraction, oxygen contents, positron annihilation technology and simulation methods to investigate systematically YBa₂Cu₃–x(Al,Zn,Co)xO₇–δ (x = 0–0.5) cuprates. The experimental results and simulated calculations support the existence of cluster effect. Moreover, it is concluded that the cluster effect is an important factor on suppression of the superconductivity and the Tc does not depend directly on the density of valence electron in the samples. 2010 Article Superconductivity without dependence on valence electron density in (Al, Zn, Co) doped YBCO systems / Z. Yufeng, W. Dandan, L. Pinglin // Физика низких температур. — 2010. — Т. 36, № 2. — С. 206-211. — Бібліогр.: 47 назв. — англ. 0132-6414 PACS: 68.65.–k, 47.54.De, 47.54.Bd. http://dspace.nbuv.gov.ua/handle/123456789/116896 en Физика низких температур Фізико-технічний інститут низьких температур ім. Б.І. Вєркіна НАН України |
institution |
Digital Library of Periodicals of National Academy of Sciences of Ukraine |
collection |
DSpace DC |
language |
English |
topic |
Свеpхпpоводимость, в том числе высокотемпеpатуpная Свеpхпpоводимость, в том числе высокотемпеpатуpная |
spellingShingle |
Свеpхпpоводимость, в том числе высокотемпеpатуpная Свеpхпpоводимость, в том числе высокотемпеpатуpная Yufeng, Z. Dandan, W. Pinglin, L. Superconductivity without dependence on valence electron density in (Al, Zn, Co) doped YBCO systems Физика низких температур |
description |
We adopted the x-ray diffraction, oxygen contents, positron annihilation technology and simulation methods to investigate systematically YBa₂Cu₃–x(Al,Zn,Co)xO₇–δ (x = 0–0.5) cuprates. The experimental results and simulated calculations support the existence of cluster effect. Moreover, it is concluded that the cluster effect is an important factor on suppression of the superconductivity and the Tc does not depend directly on the density of valence electron in the samples. |
format |
Article |
author |
Yufeng, Z. Dandan, W. Pinglin, L. |
author_facet |
Yufeng, Z. Dandan, W. Pinglin, L. |
author_sort |
Yufeng, Z. |
title |
Superconductivity without dependence on valence electron density in (Al, Zn, Co) doped YBCO systems |
title_short |
Superconductivity without dependence on valence electron density in (Al, Zn, Co) doped YBCO systems |
title_full |
Superconductivity without dependence on valence electron density in (Al, Zn, Co) doped YBCO systems |
title_fullStr |
Superconductivity without dependence on valence electron density in (Al, Zn, Co) doped YBCO systems |
title_full_unstemmed |
Superconductivity without dependence on valence electron density in (Al, Zn, Co) doped YBCO systems |
title_sort |
superconductivity without dependence on valence electron density in (al, zn, co) doped ybco systems |
publisher |
Фізико-технічний інститут низьких температур ім. Б.І. Вєркіна НАН України |
publishDate |
2010 |
topic_facet |
Свеpхпpоводимость, в том числе высокотемпеpатуpная |
url |
http://dspace.nbuv.gov.ua/handle/123456789/116896 |
citation_txt |
Superconductivity without dependence on valence electron density in (Al, Zn, Co) doped YBCO systems / Z. Yufeng, W. Dandan, L. Pinglin // Физика низких температур. — 2010. — Т. 36, № 2. — С. 206-211. — Бібліогр.: 47 назв. — англ. |
series |
Физика низких температур |
work_keys_str_mv |
AT yufengz superconductivitywithoutdependenceonvalenceelectrondensityinalzncodopedybcosystems AT dandanw superconductivitywithoutdependenceonvalenceelectrondensityinalzncodopedybcosystems AT pinglinl superconductivitywithoutdependenceonvalenceelectrondensityinalzncodopedybcosystems |
first_indexed |
2025-07-08T11:16:49Z |
last_indexed |
2025-07-08T11:16:49Z |
_version_ |
1837077271114940416 |
fulltext |
© Zhang Yufeng, Wang Dandan, and Li Pinglin, 2010
Fizika Nizkikh Temperatur, 2010, v. 36, No. 2, p. 206–211
Superconductivity without dependence on valence
electron density in (Al, Zn, Co) doped YBCO systems
Zhang Yufeng
Department of Mathematics and Physics, Shanghai University of Electric Power
28 Xuehai Road, Nanhui District, Shanghai 201300, PRC
E-mail: zyfeng1011@yahoo.com.cn
Wang Dandan and Li Pinglin
School of Physics and Engineering, Zhengzhou University, Zhengzhou 450052, PRC
Received July 30, 2009, revised September 1, 2009
We adopted the x-ray diffraction, oxygen contents, positron annihilation technology and simulation methods
to investigate systematically YBa2Cu3–x(Al, Zn, Co)xO7–δ (x = 0–0.5) cuprates. The experimental results and
simulated calculations support the existence of cluster effect. Moreover, it is concluded that the cluster effect is
an important factor on suppression of the superconductivity and the Tc does not depend directly on the density of
valence electron in the samples.
PACS: 68.65.–k Low-dimensional, mesoscopic, nanoscale and other related systems: structure and
nonelectronic properties;
47.54.De Experimental aspects;
47.54.Bd Theoretical aspects.
Keywords: YBCO, simulated calculations, positron annihilation, cluster effect, valence electron.
1. Introduction
The high-Tc cuprates, especially YBCO systems, are
still the highlight in the superconducting researches [1–5],
however, the microscopic mechanism is challenging
harshly to all theories, even as Zaanens statements: «The
high-Tc superconductivity is on the list of the most pro-
found physics problems…» [6]. In order to search and
comprehend such a problem, scientists suggested many
new theories and experimental technologies [7–9], for ex-
ample, elemental substitution that play an important role in
the research of high-Tc cuprates until today [10–13],
namely, copper is replaced by magnetic or nonmagnetic
elements. According to the traditional theory of magnetic
pair-breaking, the nonmagnetic ions doped into supercon-
ductors will suppress less the superconductivity than mag-
netic ions. However, Zn2+ doped in YBCO, a kind of non-
magnetic ion, suppresses more forcefully the superconduc-
tivity than other nonmagnetic and magnetic ions, like Al
and Co. At present, most researchers believe that the su-
perconducting phenomenon occurs on CuO2 planes [14–
16], where Zn2+ ions substitute for Cu(2) sites. Hence, Zn
doping will suppress noticeably the superconductivity
[17,18]. Some scientists suggested Zn doping destroys the
background of antiferromagnetism on CuO2 planes [19];
however, this proposal is still one of viewpoints of mag-
netic pair-breaking. Besides, what a reason causes the tran-
sition temperature Tc to fall faster and faster with the in-
crease of doped concentration [20–25] and so on? Many
queries are now still unclear; therefore, further investiga-
tions of theories and experiments will be necessary in Al,
Zn and Co doped YBCO cuprates.
In order to realize the distribution of doped ions, here
we will calculate the total defect energy and average bind-
ing energy inside a cluster based on Islam’s method [26].
Simulated results reveal the possibility of cluster effect.
When the doped concentration increases, the doped ions
combine into different clusters on CuO2 planes and in CuO
chains. Afterwards, we use positron annihilation technique
(PAT) to probe the change of electron structure as Al, Zn
and Co substitute for Cu in YBCO. PAT plays an impor-
tant role in the investigation of such condensed matters as
semiconductors, metal materials and high-Tc cuprates [27–
30]. The positron studies examine the properties of normal
and superconducting states, such as Fermi surface, O–T
transition and the carrier concentration [31–34]. In recent
years, Jean and Li et al. reported many important results
from positron experiments and theories concerning high-Tc
superconducting mechanism [20–24,33–35]. In the present
article, we report the systematical investigation concerning
Superconductivity without dependence on valence electron density in (Al, Zn, Co) doped YBCO systems
Fizika Nizkikh Temperatur, 2010, v. 36, No. 2 207
YBa2Cu3–x(Al, Zn, Co)xO7–δ (x = 0–0.5) samples. The theo-
retic calculations and experimental results of PAT and
oxygen content support the existence of cluster effect.
Moreover, it is reasoned that cluster effects, as an impor-
tant factor, suppress the cuprate superconductivity and the
Tc variations do not directly depend on the density of va-
lence electron in the samples.
2. Experiments
Samples of YBa2Cu3-x(Al, Zn, Co)xO7-δ (x = 0–0.5)
were prepared by the same method as in Refs. 20 and 22–24.
Due to the sensitivity of the PAT experiments, all samples
were sintered in the same conditions in order to reduce the
dispersion of the experimental results. The superconduc-
ting transition temperature Tc was measured by the stan-
dard dc four-probe method with a voltage resolution of
10–7 V (HP3457A). The crystal structures of samples were
analyzed by powder x-ray diffraction (XRD) using the
D/max-BX-ray diffractometer. The positron lifetime spec-
tra were measured by the ORTEC-100U fast-fast coin-
cidence lifetime spectrometer. Two pieces of identical
samples (∅13×3 mm) were sandwiched together with a
10-µC22 Na positron source deposited on a thin Mylar foil
(about 1.2 mg/cm2 thickness). We apply Pilot-U plastic
flicker sensor, which was tested by 60Co and showed the
excellent time resolution over 220 ps. Each spectrum con-
tains more than 1·106 counts to guarantee the sufficient
statistic precision. After subtracting background and source
contributions, the lifetime spectra were fitted with two-
lifetime components by POSITRON-FIT-EXTENDED
program with the best fit (χ2 =1.0–1.1). The positron life-
time spectra of all samples were measured at the identical
environment temperature, (283 ± 1) K, and the results were
reproducible.
3. Results and discussions
3.1. Simulated calculations
In order to understand the characteristics of cluster
structure, here we perform simulated calculations on the
energy minimization principle and framework of Born
model, in which the effective pairwise potentials represent
the interatomic forces in the following form [26]:
2
6
0
exp ,
4
i j ij ij
ij ij
ij ij ij
Z Z e r C
A
r rπε ρ
⎛ ⎞
Φ = + − −⎜ ⎟⎜ ⎟
⎝ ⎠
(1)
where Φij is the effective potentials between ions i and j; Zi
and Zj are ion valences; rij is the distance between ions i
and j; Aij , Cij and ρij are the relative characteristic con-
stants. The first term is the long-range Coulomb interac-
tion; the remaining terms represent the short-range interac-
tion and the shielded revision. Because charge equilibrium
determines the ion coordination characteristics in clusters,
the clusters should be electrically neutral. The neutral clus-
ters may show several structures, two of which are illus-
trated as (a) and (b) on CuO2 planes in Refs. 20–24. Here
(a) as Hexamer denotes six doped ions with two common-
lateral squares, and (b) as Double Square does seven doped
ions with two common-apical squares. On CuO2 planes Cu
ions are +2.25 valence, and doped Zn ions are +2, more-
over holes exist on oxygen ions [25,36]. These two factors
together make electrons lose; consequently, the number of
the oxygen ions has to decrease in order to keep the charge
equilibrium. For example, in four doped ions cluster, every
four Zn2+ ions may exclude an oxygen ion, which can be
described as {4Zn2+ → 4Cu2.25+ - O2–}. Nevertheless,
one Zn ion alone cannot exclude an oxygen ion. Hence, the
binding energy of Zn2+ cluster is:
2 2.25 2
bind 1
2 2.25 2
2 3
(4Zn 4Cu O )
4 (Zn Cu ) (O ) .
b
b b
E E
E E
+ + −
+ + −
= → − −
− → +
(2)
where Eb1, Eb2 and Eb3 are all represented as E = ∑Φij .
The first term Eb1 is the cluster total energy, Eb2 is the
binding energy that a Zn2+ substitutes for a Cu2.25+ ion, and
Eb3 is the binding energy that an O2- ion is lost. For both
Hexamer and Double Square, Ebind have similar formula-
tion. The average binding energy of every doped ion is
Emean = Ebind/N where N is the number of doped ions in a
cluster. Other clusters may likewise be described and cal-
culated. The calculation results are listed in Table 1, in
which the negative value of the binding energy indicates
the system is bound. As well known, the larger average
binding energy is,the more stable a cluster combines.
Consequently, the doped ions should prefer to form the
cluster with largest average binding energy. It can be con-
cluded from the results listed in Table 1 that doped Al and
Co ions prefer to form Hexamer cluster of six ions, while
for Zn doping Double Square (a common point, seven
ions) clusters have the largest probability. As for the larger
cluster, it can be composed by some small clusters, for
example, the cluster of eight ions are composed by double
four ions and so on.
Table 1. The mean binding energy of per doped ion in the
doped YBCO
Cluster Al3+ – Em Co3+ – Em Cluster Zn2+ – Em
D + O –2.73 –2.80 D –1.67
TL + 2O –2.25 –2.44 TL–O –1.49
TS + 2O –2.71 –2.82 TS–O –1.64
TZ + 2O –2.10 –2.15 TZ–O –1.36
H + 3O –2.83 H–2O –1.68
H + 4O –2.85 –3.03 H–O –1.75
DS + 4O –2.81 –2.91 DS–2O –1.78
N o t e s: Here the negative value indicates the binding energy.
Em (eV/ion) is the mean binding energy per doped ion.
D + O = Dimmer {2M→2Cu2++O2–} (M = Al3+, Co3+), «+O»
represents an O2– ion is attracted into the cluster;
TL + 2O = Tetramer {4M → 4Cu2+ + 2O2–} Linear;
TS + 2O = Tetramer {4M → 4Cu2+ + 2O2–} Square;
TZ + 2O = Tetramer {4M → 4Cu2+ + 2O2–} Zigzag;
H + 4O = Hexamer {6M → 6Cu2+ + 4O2-};
DS + 4O = Double Square {7M → 7Cu2+ + 4O2–}.
Besides, Zn2+ clusters will squeeze out oxygen ion, which is
marked as TL-O and so on. «–O» represents an O2– ion is
squeeze out the cluster.
Zhang Yufeng, Wang Dandan, and Li Pinglin
208 Fizika Nizkikh Temperatur, 2010, v. 36, No. 2
3.2. X-ray diffraction results and cuprate
superconductivity
XRD results show that undoped and low-doped Y-123
samples have the well single phase. As doped concentra-
tion x increase, samples show slight impure phases at x =
= 0.12, x = 0.20 and at x = 0.25 for Zn, Al, and Co doping,
respectively. Here in-order three x values correspond with
the average binding energy Em of Zn, Al, and Co. Every
cluster in Table 1, namely, x (Zn) < x (Al) < x (Co) has the
same relation to Em(Zn) < Em(Al) < Em(Co). Such a result
reveals that the small theoretic Em samples form easily the
impure phases in the experiments, so our theoretic calcula-
tions are able to reflect the experimental data. All the lat-
tice parameters were calculated by the least square method
with powder XRD data, and the results of Zn and Al doped
samples are shown in Fig. 1 and Fig. 2. Due to Co doped
samples have the similar results to Al doped, the former
lattice parameters are not illustrated. For Zn doped sam-
ples, the lattice parameter a and b increase slightly with x
increasing, because the Zn2+ radius (0.74 Å) is larger than
the Cu2+ radius (0.72 Å), but the O–T transition does not
appear in x = 0–0.4. While for Al and Co doping, O–T
transition occurs near x = 0.15 and 0.12, respectively.
Generally, O–T transition results from the change of
oxygen content in Cu–O chains [20–23]. Thus the variation
of lattice parameters a and b indicates that Al and Co ions
enter mainly Cu(1) sites, which is consistent with Hoff-
mann et al. experiments [37,38]. It should be noticed that
O–T transition occurs before the appearance of impure
phases, which reflects the intrinsic properties of Al and Co
doped Y123 systems. For the same reason, the variation of
lattice parameters shows that Zn ions enter mainly Cu(2)
sites on CuO2 planes [39,41], where the superconductivity
occurs. It implies that the superconductivity suppressed by
Zn doping should be stronger than by Al and Co doping. In
our experiments [20,22–24] , the Tc is 92 K for Y123 com-
pounds without elemental substitution, which call undoped
samples in the text. For Al doping, during x = 0–0.10, the
Tc falls slightly to 91 K; at x = 0.20, the Tc is 83.2 K; and
at x = 0.40, Tc = 42.5 K. And the Tc falls to about 72.3 K
for Zn concentration x = 0.10; when x = 0.20, the Tc is
42.6 K and for x = 0.40, Tc = 15.7 K. While for Co doped
samples, the Tc decreases stepwise with x increasing, when
x = 0.05, the Tc is about 80.0 K; at x = 0.10, the Tc is
67.5 K; at x = 0.20, the Tc is 44.5 K; and if x = 0.30, one
has Tc = 21.0 K. Obviously, when x < 0.20, Zn doping
suppresses the superconductivity much more severely than
Al and Co doping, however, when x > 0.20, Co doping
suppresses most strongly the superconductivity in the three
doped ions. It suggests that the cluster effect is still an im-
portant factor in suppression of the superconductivity be-
cause Co ions show the strongest cluster effect as above
calculation results.
3.3. Oxygen content variations
The insert picture in Fig. 1 and Fig. 2 show the experi-
mental results of oxygen content concerning Al and Zn
doped samples [17]. Here the oxygen content of Co doping
is omitted as being similar to Al doping. For M3+ (Al3+,
Co3+) doping, M3+ valence is higher than Cu2+ in Cu–O
chains, the dispersed ions cannot capture one oxygen ion
due to charge equilibrium. As x increases the ions form
clusters, which are able to capture oxygen ions, so the
oxygen content should rise in Al and Co doped samples.
However, for Zn doping, the oxygen content falls obvi-
ously with x increase, such variation characteristics are
consistent with the simulated calculations, because Zn2+
valence is lower than Cu2.25+ and the dispersed ions cannot
extrude oxygen ions to achieve electric neutrality. While
the cluster has not formed yet and Zn ions are distributed
randomly, there are hardly oxygen vacancies around Zn
ions and the oxygen content should not decrease. With x
increasing, Zn ions form more and more clusters, because
Zn ions require less oxygen ions for coordination than Cu,
Fig. 1. Lattice parameter a and b variation with Al doped
concentration x in YBCO systems. The insert picture indicates
the oxygen content variation with x (Ref. 17).
00 0,10,1 0,20,2 0,30,3 0,40,4
3,813,81
3,823,82
3,833,83
3,843,84
3,853,85
3,863,86
3,873,87
00 0,10,1 0,20,2 0,30,3 0,40,4
bb
aa
L
at
ti
ce
p
ar
am
et
er
s,
L
at
ti
ce
p
ar
am
et
er
s,
ÅÅ
Al doped concentrationAl doped concentration xx
Al doped concentrationAl doped concentration õõ
6,806,80
6,856,85
6,906,90
6,956,95
7,007,00
7,057,05
O
x
y
g
en
co
n
te
n
t
O
x
y
g
en
co
n
te
n
t
Fig. 2. Lattice parameter a and b variation with Zn doped
concentration x in YBCO systems. The insert picture indicates the
oxygen content variation with x (Ref. 17).
00 0,10,1 0,20,2 0,30,3 0,40,4
3,803,80
3,813,81
3,823,82
3,833,83
3,843,84
3,853,85
3,863,86
3,873,87
3,883,88
3,893,89
3,903,90
00 0,10,1 0,20,2 0,30,3
bb
aa
Zn doped concentrationZn doped concentration xx
Zn doped concentrationZn doped concentration xx
6,756,75
6,806,80
6,856,85
L
at
ti
ce
p
ar
am
et
er
s,
L
at
ti
ce
p
ar
am
et
er
s,
ÅÅ
O
x
y
g
en
co
n
te
n
t
O
x
y
g
en
co
n
te
n
t
Superconductivity without dependence on valence electron density in (Al, Zn, Co) doped YBCO systems
Fizika Nizkikh Temperatur, 2010, v. 36, No. 2 209
the extra oxygen ions will be extruded from the clusters.
Therefore, oxygen vacancies would appear on CuO2
planes, and then the oxygen content should descend no-
ticeably (Fig. 2, insert). We can conclude that cluster effect
is indeed a factor that causes oxygen content to reduce in
Zn doped YBCO. From the above analysis, oxygen content
variation characteristics in those doped samples can be
explained convincingly by the cluster effect. In fact, the
PAT experiments have the same conclusions.
3.4. Positron experiments
PAT experiments are described in detail in our other
papers [20–24]. The positron lifetime is defined as the in-
verse of annihilation rate. According to the model of two-
state capture in condensed matter [42] with the short life-
time τ1 and the long lifetime τ2 , the processes of positron
annihilation are attributed to free-state annihilation and
trapping-state annihilation, respectively. The former inten-
sity I1 denotes the proportion of free-state annihilation to
total annihilation events, the latter intensity I2 = 1 – I1. τ1
reflects mainly the annihilation process in the perfect crys-
tal lattices and can be used to detect the electron distribu-
tion of the inner microstructure. τ2 reflects mainly the
process of positron captured in the imperfect areas inside
the materials; it can characterize the intrinsic structure and
preparation quality of samples. If positrons annihilate in
the imperfections, such as oxygen vacancy, twin boundary,
dislocation, and cation vacancies, τ2 will be larger, some-
times it is noted as τ3, generally τ3 > 800 ps [43–45]. Our
samples do not contain τ3 component, this indicates the
credibility of the sample quality.
According to the characteristics of positron annihila-
tion, local electron density 2
0 bulk1 ( )en r cπ τ= / , where
0 r is the classical electron radius, c is the velocity of light,
and bulkτ is the systematical lifetime parameter, it is de-
fined as:
1 1 2bulk 21 .I Iτ τ τ= + (3)
Some relational calculation results [46,47] show that
about 90% positrons annihilate with the valence electrons,
and only about 10% positrons annihilate with the electrons
within the atomic kernel. These results indicate that the ne
amount is determined mainly by the valence electrons, so
we may regard the density of valence electron as the ne
without influence on the general conclusions.
When M+3 (Al+3, Co+3) enter Cu–O chains as above,
the dispersive M+3 contains one valence electron less than
Cu2+, so the ne should drop. However, the doped ions form
clusters as x increases, oxygen ions will be attracted into
the crystal lattice. Once introduced by the clusters, every
oxygen ion will attract two valence electrons in terms of
charge equilibrium. Therefore the valence electron density
rises, namely, the ne shows a rising trend. When the ne
dropping and rising reach a balance, the low saturation
emerges as shown in the experiments [24]. Obviously,
such a result originates from the cluster effect. In contrast,
while +2 valence ions enter CuO2 planes, Zn2+ loses fewer
electrons than Cu2.25+, so the density should rise on the
consideration of valence state. However, as x increase, the
Zn ions start to form clusters. As mentioned before, every
four Zn2+ will extrude an O– (including a hole) which car-
ries away two valance electrons, so the density begin to
fall. When the rising and falling of the density reach a bal-
ance, the density ne tends to high saturation [20], which is
influenced evidently by the cluster effect. As a result, the
ne saturation also can be elucidated satisfactorily through
the cluster effect as the oxygen content variations above.
3.5. Valence electron density and the Tc of cuprates
Figure 3 shows the relationship between the Tc and the
reduced ne in Al, Zn and Co doped samples. For Al and Co
doped samples, both reduced ne have the great decrease in
the little doping, the Tc descends only slightly, especially
in the Al doped samples, but the reduced ne of Co doped
samples descends faster than that of Al doped in the same
concentration x, as shown in the figure, so the ne–Tc curve
turning point in Co doped samples is further from ne = 1.00
than that in Al doped, such a result still gives evidence that
the Em is larger in Co doped samples. Below the curve
turning point in both samples, the Tc seems to lose further
the association with the reduced density ne, in particular,
when both Tc drop sharply, the reduced ne varies only
slightly. In fact, when x is low, both ions enter the crystal
lattice in individual, M3+ loses more valence electrons than
Cu2+, so the density ne will decrease. However, the Tc de-
scends slightly with the density change because the dis-
persed ions cannot destroy the crystal lattice. Below the
curve turning point the Tc starts to drop sharply with clus-
ters appearing. On our idea, the stronger cluster effect is,
the stronger it will distort the structure of crystal lattice. So
the superconductivity is seriously suppressed in both sam-
ples. In contrast with both above, the ne–Tc curve of Zn
doping has the opposite variation trend in the beginning
stage, though the reduced density raises greatly, the Tc de-
scends still slightly, below the curve turning point the Tc
Fig. 3. The variation of superconducting transition temperature Tc
with reduced valence electron density ne in Al, Zn and Co doped
YBCO systems.
1010
2020
3030
4040
5050
6060
7070
8080
9090
100100
0,920,92 0,940,94 0,960,96 0,980,98 1,001,00 1,021,02 1,041,04 1,061,06
CoCo ZnZnAlAl
Local electronic density nLocal electronic density n , arb. units, arb. unitsee
TT
,
K
,
K
cc
Zhang Yufeng, Wang Dandan, and Li Pinglin
210 Fizika Nizkikh Temperatur, 2010, v. 36, No. 2
starts to drop sharply from 72.3 K to 15.7 K, whereas the
reduced ne increases only slightly. As above statements,
similarly, when x is small, Zn ions enter the crystal lattice
in individual; Zn2+ loses fewer electrons than Cu2.25+, so
the density will increase. However, the Tc descends
slightly with the density increasing, because the dispersed
ions do not destroy the crystal lattice. While the Zn clusters
appear in the doped samples, the structures of crystal lat-
tice will be distorted by the cluster effect, which will influ-
ence directly the pairing and transportation of carriers, and
thus the superconductivity is suppressed markedly, then
the Tc starts to drop sharply. Anyway, when the reduced
density increases or decreases essentially, the Tc alters only
slightly; on a contrary, while the Tc falls dramatically, the
reduced density changes hardly. As a result, we can con-
clude that the Tc has no direct connection with the valence
electron density. However, when the cluster effect
strengthens in the region of turning point, the Tc falls no-
ticeably. Therefore, the cluster effect is an important factor
that suppresses the cuprate superconductivity.
4. Conclusions
In conclusion, the high-Tc cuprates YBa2Cu3–x(Al,Zn,Co)xO7–δ
(x = 0–0.5) have been analyzed and studied systematically
by XRD, positron annihilation technique, oxygen content,
and calculations of binding energy. The simulated calcula-
tions, the variations of oxygen content and positron ex-
periments support congruously the existence of cluster
effect. Especially, it is reasoned that the cluster effect is an
important factor in suppression of high-Tc cuprate super-
conductivity and the Tc has no direct connection with the
density of valence electron.
This work is supported by The Natural Science Founda-
tion of China (No.10647145).
1. U. Schwingenschlogl and C. Schuster, Phys. Rev. B79,
092505 (2009).
2. H. Yamase, Phys. Rev. B79, 052501 (2009).
3. X. Wang, A. Dibos, and J.Z. Wu, Phys. Rev. B77, 144525
(2008).
4. H.H. Song, M.W. Davidson, and J. Schwartz, Supercond.
Sci. Tech. 22, 062001 (2009).
5. W. Markowitsch, W. Lang, J.D. Pedarnig, and D. Bauerle,
Supercond. Sci. Tech. 22, 034011 (2009).
6. J. Zaanens and T. Senthil, Nature Phys. 2,138 (2006).
7. J. Guo, C. Dong, H. Gao, H.H. Wen, L.H. Yang, F. Zeng,
and H. Chen, Chin. Phys. B17, 1124 (2008).
8. C. Dong, Chin. Phys. B15, 3005 (2006).
9. L.B. Shi, Y. Zheng, J.Y. Ren, M.B. Li, and G.H. Zhang,
Acta Phys. Sin. 57, 1183 (2008).
10. Y. Fukuuzumi, K. Mizuhaohi, K. Takenaka, and S. Uchida,
Phys. Rev. Lett. 76, 684 (1996).
11. H. Salamati and M. Mohammadi, J. Phys. IV France 123,
19 (2005).
12. B.Nachumi, A. Keren, K. Kojima, M. Larkin, G.M. Luke,
O. Tcheryshov, Y.J. Uemura, N. Ichikawa, M. Goto, and S.
Uchida, Phys. Rev. Lett. 77, 5421 (1996).
13. Y.K. Kuo, C.W. Schneider, M.J. Skove, M.V. Nevitt, G.X.
Tessema, and J.J. Mcgee, Phys. Rev. B56, 6201 (1997).
14. H. Takagi, Physica C341-348, 3 (2000).
15. A.H. Macdonald, Nature 414, 409 (2001).
16. M. Capone, M. Fabrizio, C. Castellani, and E. Tosatti,
Science 296, 2364 (2002).
17. M. Tarascon, P. Barboux, P.F. Miceli, L.H. Greene, G.W.
Hull, M. Eibschutz, and S.A. Sunshine, Phys. Rev. B37,
7458 (1988).
18. R.S. Horland and T.H. Geballe, Phys. Rev. B39, 9017
(1989).
19. J. Axnäs, W. Holm, Yu. Eltsev, and Ö. Rapp, Phys. Rev.
B53, 3003 (1996).
20. P.L. Li, J.C. Zhang, G.X. Cao, C. Jing, and S.X. Cao, Phys.
Rev. B69, 224517 (2004).
21. P.L. Li, J.C. Zhang, G.X. Cao, D.M. Deng, L.H. Liu, C.
Dong, C. Jing, and S.X. Cao, Acta Phys. Sin. 53, 1223
(2004).
22. A.H. Wang, X.X. Wang, S.F. Li, J. Zhang, H.Q. Lu, L.M.
Gao, X.L. Li, Y.Y. Wang, and P.L. Li, J. Low Temp. Phys.
149, 89 (2007).
23. P.L. Li, Y.Y. Wang, Y.T. Tian, J. Wang, X.L. Niu, J.X.
Wang, D.D. Wang, and X.X. Wang, Chin. Phys. B17, 3483
(2008).
24. A.H. Wang, X.X. Wang, Y.G. Cao, X.L. Li, Y.Y. Wang,
L.M. Gao, H.Q. Lu, J. Zhang, and P.L. Li, Fiz. Nizk. Temp.
34, 219 (2008) [Low Temp. Phys. 34, 168 (2008)].
25. R.P. Gupta and M. Gupta, Physica C305, 179 (1998).
26. M.S. Islam and C. Aanathamohan, Phys. Rev. B44, 9492
(1991).
27. K. Saarinen, J. Niddils, H. Kauppinen, M. Hakala, M.J.
Puska, P. Hautojarvi, and C. Corbel, Phys. Rev. Lett. 82,
1883 (1999).
28. A.I. Kul’menrt’ev, Eur. Phys. J. Appl. Phys. 25, 191 (2004).
29. T.E. M. Staab, M. Haugk, Th. Frauenheim, and H.S.
Leipner, Phys. Rev. Lett. 83, 5519 (1999).
30. A. Somoza, A. Dupasquier, I.J. Polmear, P. Folegati, and R.
Ferragut, Phys. Rev. B61, 14454 (2000).
31. T. Banerjee, R.N. Viswanath, D. Kanjilal, R. Kumar, and S.
Ramasamy, Solid State Commun. 114, 655 (2000).
32. D. Udayan, D. Sanyal, S. Chauahuri, P.M. G. Nambissan, T.
Wolf, and H. Wuhl, Phys. Rev. B62, 14519 (2000).
33. Y.C. Jean, J. Kyle, H. Nakanishi, and P.E.A. Turchi, Phys.
Rev. Lett. 60, 1069 (1988).
34. J.C. Zhang, F.Q. Liu, and G.S. Cheng, Phys. Rev. A201, 70
(1995).
35. J.C. Zhang, L.H. Liu, C. Dong, J.Q. Li, H. Chen, X.G. Li,
and G.S. Cheng, Phys. Rev. B65, 054513 (2002).
36. P.C. Li, H.S. Yang, Z.Q. Li, Y.S. Chai, and L.Z. Cao, Chin.
Phys. 11, 285 (2002).
37. J.F. Bringley, T.M. Chen, B.A. Averill, K.M. Wong, and
S.J. Poon, Phys. Rev. B38, 2432 (1988).
38. L. Hoffmann, A.A. Manuel, M. Peter, E. Walker, M.
Gauthier, A. Shukla, B. Barbiellini, S. Massidda, Gh. Adam,
Superconductivity without dependence on valence electron density in (Al, Zn, Co) doped YBCO systems
Fizika Nizkikh Temperatur, 2010, v. 36, No. 2 211
W.N. Hardy, and R.X. Liang, Phys. Rev. Lett. 71, 4047
(1993).
39. J.M. Tarascon, L.H. Greene, P. Barboux, W.R. McKinnon,
G.W. Hull, T.P. Orlando, K.A. Delin, S. Foner, and E.J.
McNiff, Jr., Phys. Rev. B36, 8393 (1987).
40. G. Xiao, M.Z. Cieplak, and C.L. Chien, Phys. Rev. B42, 240
(1990).
41. N. Bulut, D. Hone, D.J. Scalapino, and E.Y. Loh, Phys. Rev.
Lett. 62, 2192 (1989).
42. P. Haotuojiawei, Positron-Annihilation Technology, Science
Press (1983), p. 255.
43. C. Nagel, K. Ratzke, E. Schmidtke, F. Faupel, and W. Ul-
fert, Phys. Rev. B60, 9212 (1999).
44. A. Somoza, A. Dupasquier, I.J. Polmear, P. Folegati, and R.
Ferragut, Phys. Rev. B61, 14454 (2000).
45. L.J. Li, Z.X. Wang, and J.L. Wu, Acta Phys. Sin. 47, 844
(1998).
46. K.O. Jensen, R.M. Nieminen, and M.J. Puaka, J. Phys.
Cond. Matter 1, 3727 (1989).
47. H.B. Zhang and H. Sato, Phys. Rev. Lett. 70, 1697 (1993).
|