Benjamin H Zhou1, Jeffrey D Rinehart1. 1. Materials Science and Engineering Program and Department of Chemistry and Biochemistry, University of California-San Diego, La Jolla, California 92093, United States.
Abstract
The phenomenon of granular magnetoresistance offers the promise of rapid functional materials discovery and high-sensitivity, low-cost sensing technology. Since its discovery over 25 years ago, a major challenge has been the preparation of solids composed of well-characterized, uniform, nanoscale magnetic domains. Rapid advances in colloidal nanochemistry now facilitate the study of more complex and finely controlled materials, enabling the rigorous exploration of the fundamental nature and maximal capabilities of this intriguing class of spintronic materials. We present the first study of size-dependence in granular magnetoresistance using colloidal nanoparticles. These data demonstrate a strongly nonlinear size-dependent magnetoresistance with smaller particles having strong ΔR/R ∼ 18% at 300 K and larger particles showing a 3-fold decline. Importantly, this indicates that CoFe2O4 can act as an effective room temperature granular magnetoresistor and that neither a high superparamagnetic blocking temperature nor a low overall resistance are determining factors in viable magnetoresistance values for sensing applications. These results demonstrate the promise of wider exploration of nontraditional granular structures composed of nanomaterials, molecule-based magnets, and metal-organic frameworks.
The phenomenon of granular magnetoresistance offers the promise of rapid functional materials discovery and high-sensitivity, low-cost sensing technology. Since its discovery over 25 years ago, a major challenge has been the preparation of solids composed of well-characterized, uniform, nanoscale magnetic domains. Rapid advances in colloidal nanochemistry now facilitate the study of more complex and finely controlled materials, enabling the rigorous exploration of the fundamental nature and maximal capabilities of this intriguing class of spintronic materials. We present the first study of size-dependence in granular magnetoresistance using colloidal nanoparticles. These data demonstrate a strongly nonlinear size-dependent magnetoresistance with smaller particles having strong ΔR/R ∼ 18% at 300 K and larger particles showing a 3-fold decline. Importantly, this indicates that CoFe2O4 can act as an effective room temperature granular magnetoresistor and that neither a high superparamagnetic blocking temperature nor a low overall resistance are determining factors in viable magnetoresistance values for sensing applications. These results demonstrate the promise of wider exploration of nontraditional granular structures composed of nanomaterials, molecule-based magnets, and metal-organic frameworks.
Controlling the flow of electrons
by switching magnetization was one of the most impactful advancements
of the digital revolution. In particular, the discovery of giant magnetoresistance
(GMR) led to the first commercial applications of spintronic technology
nearly 40 years ago.[1,2] From its initial use in hard drive
read-heads, a continuous stream of advances in giant (GMR), tunnelling
(TMR), anisotropic (AMR), and other forms of MR have led to smaller,
faster, and more sensitive electrical detection. Although reading
and writing digital data remains a main driver of MR research, other
detection platforms where speed and sensitivity are important have
also become prominent. These technologies include navigation,[3−5] biochemical and chemical detection,[6−8] magnetic relaxometry,[9,10] and nondestructive materials testing.[11−13]One method to
improve the sensitivity of an MR-based sensor is
to increase the number of magnetic layers traversed by an electron
moving through the device. The magnetization of these layers can be
either maximally aligned to enhance the current or antialigned to
impede it. In commercial devices, this can be done by deposition of
multilayer thin-film devices of increasingly complex architecture.
Very early on in the development of MR devices, an alternative geometry
was proposed wherein small-grain bulk materials would be pressed together,
or bulk mixtures would be phase-separated into small magnetic domains
surrounded by conducting or insulating material.[14,15] Ideally in this geometry, each magnetic grain boundary can be a
spin-selecting junction, and the total number of junctions is increased
by many orders of magnitude. With simple device preparation, minimal
materials cost, and low equipment investment, such an architecture
could rapidly expand the scope and viability of MR sensing devices.
Although early formulations suffered from poor grain boundaries and
size distributions, advances in colloidal nanoparticle synthesis over
the past few decades now allow many types of nanoparticles to be chemically
synthesized as free-standing particles with tight control over size,
morphology, and surface chemistry. This developing synthetic control
has led to a re-examining of the viability of granular magnetoresistance
via a bottom-up nanochemistry approach.Overwhelmingly, the
most studied material to date is the ferrimagnetic
inverse spinel Fe3O4 (magnetite). Ease of synthesis,
stability, strong magnetization, and predicted half-metallicity with
full spin polarization have all contributed to the prevalence of Fe3O4 nanoparticle composites as research MR materials.
Recent work on granular MR in Fe3O4 has demonstrated
its promise by increasing differential magnetoresistancefrom 1.2% (ΔH = 450
mT)[17] to values exceeding 20% at equivalent
ΔH.[18] It should
be noted that by this definition a perfect magnetoresistor will have
ΔR/R = 100% instead of approaching
infinity, as in definitions that divide by the lower value of the
resistance (Figure S1). This empirical
evidence suggests that nanostructuring is capable of transforming
granular MR from a curiosity into a viable technology; however, from
a synthetic chemistry perspective, only the barest surface of the
materials parameter space has been explored.[17−28]Magnetic properties such as coercivity, saturation magnetization,
and remanent magnetization are strongly size-dependent in nanomaterials
of d = 1–20 nm, yet a study on the MR of well-defined,
colloidally prepared materials is lacking from the literature. In
this work we perform the first such study using nanoparticles of CoFe2O4. The greater anisotropy of CoFe2O4 compared to Fe3O4 has been used to
enhance the MR properties of Fe3O4 through doping[29] and exchange coupling,[30,31] but the MR of stoichiometric CoFe2O4 alone
has not been studied. Intriguingly, we find that single-domain ferrimagnetism
or even blocked superparamagnetism is unnecessary to observe viable
MR at 300 K; the most important factor is nanoparticle size.Nanoparticles in this work were synthesized according to literature
heat-up processes involving the thermal decomposition of Fe(III) and
Co(II) acetylacetonate salts in the presence of oleic acid and oleylamine
in high-boiling-point solvents.[32,33] Transmission electron
microscopy (TEM) statistics were used to verify consistent size and
shape for five separate synthetic preparations of CoFe2O4 (d = 5.3, 8.4, 12.7, 12.9, 20.7 nm)
(Figure b–f)
as well as an Fe3O4 sample (d = 8.7 nm) for comparison. Smaller nanoparticles (d = 5–9 nm) were roughly spherical in shape, and larger nanoparticles
exhibited some faceting due to growth along preferential crystalline
faces. The d = 12.7 nm and d = 12.9
nm samples showed polyhedral shapes, while convex cubes are observed
for the d = 20.7 nm sample. Of particular note are d = 12.9 nm CoFe2O4 nanoparticles
(Figure e), which
took truncated octahedral forms allowing them to self-assemble into
semiregular lattices. Powder-averaged X-ray diffraction (pXRD) confirmed
the inverse spinel crystal structure of AB2O4 ferrites for all samples (Figure S2).
Figure 1
(a) Scheme
of the evolution of MR from single-junction thin-film
devices to multijunction granular materials to multijunction nanoparticulate
materials with exquisite control over grain properties. Transmission
electron micrographs and size distribution histograms of (b) Fe3O4 and (c–g) CoFe2O4 nanoparticles used in this study. The diameter d in parts b–f was calculated from the projected area A ()
while the side length a in part g was calculated
as .[16]
(a) Scheme
of the evolution of MR from single-junction thin-film
devices to multijunction granular materials to multijunction nanoparticulate
materials with exquisite control over grain properties. Transmission
electron micrographs and size distribution histograms of (b) Fe3O4 and (c–g) CoFe2O4 nanoparticles used in this study. The diameter d in parts b–f was calculated from the projected area A ()
while the side length a in part g was calculated
as .[16]As-synthesized nanoparticles form
stable colloidal suspensions
in nonpolar solvents due to the presence of long-chain ligands such
as oleic acid and oleylamine. Ligand exchange of the native long-chain
ligands to the small inorganic BF4– ion
was performed according to a literature procedure[34] in order to improve the conductivity of the final nanoparticle
pellets. Although significant work has been done to improve conductivity
and even control spin-transport through ligand design,[19,20,28] in this work we focus on high-temperature
properties, and simply decreasing interparticle distance was sufficient
to achieve viable conductivity. The removal of the hydrophobic ligands
was evident from the ability to disperse ligand-exchanged nanoparticles
in polar solvents such as dimethylformamide. TEM also demonstrates
a reduced interparticle spacing in self-assembled layers cast from
the BF4–-exchanged nanoparticles, compared
to the TEM of the nanoparticles with their original ligands (Figure S3).In the nanoregime, magnetic
properties become strongly size-dependent
as the particle transitions from multidomain to single-domain to superparamagnetic
behavior. To characterize the properties of each particle sample,
the temperature-dependence of the magnetic moment was examined. Initially,
samples were cooled to T = 5 K in the absence of
a magnetic field and subsequently subjected to a small field of H = 100 Oe. For samples of all particle diameters, these
zero-field-cooled (ZFC) samples are unable to magnetize due to the
large thermal barrier to reorienting their magnetic moments. As temperature
is raised, the magnetic moment becomes able to freely respond to the
external field at its blocking temperature (TB), reaching a magnetic moment equivalent to that of a sample
that was cooled under field-cooled (FC) conditions. As expected, TB is a function of d, with
only CoFe2O4 (d = 5.3 nm) and
Fe3O4 (d = 8.7 nm) becoming
unblocked below T = 300 K (Figure , Figure S3).
To determine the saturation magnetization (Ms) and coercive field (Hc) of each
sample, moment vs field scans were collected from −7 to 7 T
at 300 K. Again, the expected size-dependence is observed, with larger
particles displaying stronger Hc and higher Ms. These results confirm that all samples are
within the superparamagnetic regime (Table S1).
Figure 2
(a) Plots of magnetic moment vs temperature under zero-field-cooled
(ZFC, solid lines) and field-cooled (FC, dashed lines) conditions
with an applied field of 100 Oe. (b) Field-dependence of the magnetic
moment of CoFe2O4 nanoparticles measured at
300 K.
(a) Plots of magnetic moment vs temperature under zero-field-cooled
(ZFC, solid lines) and field-cooled (FC, dashed lines) conditions
with an applied field of 100 Oe. (b) Field-dependence of the magnetic
moment of CoFe2O4 nanoparticles measured at
300 K.With a structurally and magnetically
characterized array of particle
sizes, each material was then tested for magnetoresistive properties.
For these measurements, pressed pellets of each sample were electrically
contacted and subjected to a variable magnetic field (Figure a). At 300 K, CoFe2O4 (d = 5.3 nm) was biased under H = −7 T, and its resistance (R) was monitored as
a function of increasing magnetic field. At large negative fields,
the resistance is only weakly dependent on field, yet as H approaches 0 T, the resistance rapidly increases, reaching a maximum
value only after reaching Hc. Since CoFe2O4 is an unblocked superparamagnet at 300 K, Hc = 0 T. This behavior is consistent with minimal
resistance at maximum spin alignment (M = Ms) and maximum resistance at minimal spin alignment
(M = 0; H = Hc, Figure S4). When field is scanned
in the reverse direction (7 to −7 T), the resistance values
are mirrored across the y-axis. When subjected to
the maximum magnetic field, CoFe2O4 (d = 5.3 nm) exhibits ΔR/R = 19.2%. These results indicate that the MR mechanism at work here
does not necessitate ordered magnetism. In fact, since TB = 175 K for these particles, MR does not even require
blocked superparamagnetism. By comparison, Fe3O4 (d = 8.7 nm) in an equivalent sample and electrode
configuration results in ΔR/R = 10%, despite significantly higher magnetization values (Figure S5).
Figure 3
(a) CoFe2O4 magnetoresistance
at 300 K as
a function of magnetic field, H, and particle diameter, d. The split peaks observed for d = 20.7
nm are a result of magnetic hysteresis (Figure S4). (b) Temperature-dependent resistance of CoFe2O4 nanoparticle pellets without an applied magnetic field.
Symbols represent measured data points while colored lines are fits
based on eq .
(a) CoFe2O4 magnetoresistance
at 300 K as
a function of magnetic field, H, and particle diameter, d. The split peaks observed for d = 20.7
nm are a result of magnetic hysteresis (Figure S4). (b) Temperature-dependent resistance of CoFe2O4 nanoparticle pellets without an applied magnetic field.
Symbols represent measured data points while colored lines are fits
based on eq .To study the effect of increasing
particle size on the MR, CoFe2O4 (d = 8.4, 12.7, 20.7 nm) was
tested as well. Each sample displays progressively higher Ms, Hc, and TB values as expected for superparamagnets with
more spin centers, yet a contrasting trend was observed in their MR.
CoFe2O4 (d = 8.4 nm) possesses
similar MR (ΔR/R = 18.4%)
to CoFe2O4 (d = 5.3 nm) despite
an enhancement in Ms of over 25%. Surprisingly,
this seems to indicate an inherent granular MR value that is inert
to size-based effects. When size is further increased, however, a
precipitous drop in MR is observed with ΔR/R = 6.6% and 6.1% for CoFe2O4 (d = 12.7 nm) and CoFe2O4 (d = 20.7 nm), respectively. One possible explanation for
this behavior is that the 5.3 and 8.4 nm nanoparticles have significantly
lower Hc than the 12.7 and 20.7 nm nanoparticles.
Coercive granular samples have been predicted to show a decreased
magnetoresistance due to decreased ability to break alignment with
the anisotropy axis and align with the magnetic field.[35] However, magnetoresistance curves taken at 175
K, where all four nanoparticle samples are blocked, show the same
trend in ΔR/R (Figure S6), and it is clear from the M vs H data that the external field is
able to magnetize the sample in all cases. Another possibility is
that spin polarization increases as the nanoparticle size decreases.
This is consistent with a smaller carrier concentration and shorter
distances for electrons to travel between grain interfaces.Further insight into the charge transport mechanism in these samples
can be gleaned from the temperature-dependence of the resistance (Figure b). The zero-field
resistance of each CoFe2O4 sample was measured
between 300 K and a lower bound dictated by the instrumentation and
sample quality. Within the measured regime, all CoFe2O4 samples displayed a linear relationship between ln R and T–0.5, where R and T are resistance and temperature,
respectively. This linear relationship indicates that electrical conductivity
occurs via tunnelling of charge carriers between nanoparticles.[35,36] Although exact resistivity values were only obtained for two samples
due to sample fragility, the measured resistance values scale similarly
due to roughly similar sample geometry. These values follow the trend
of larger particles leading to larger resistance per unit length.
Resistivity from intergranular tunnelling can be generally described
aswhere P is the spin polarization, m is the reduced
magnetization, κ is a tunnelling
constant, C is a charging energy, and k is the Boltzmann constant.[35] The (1 + P2m2)−1 factor determines the magnetoresistance, while the factor determines the overall tunnelling
rate. In our samples, the tunnelling rate should be determined primarily
by the charging energy. The tunnelling constant κ depends on
barrier height and width, as well as intrinsic material properties,
which are invariant across the four CoFe2O4 samples.
However, the charging energy should decrease significantly as the
size of the nanoparticles increases, explaining the decreasing resistivity
with nanoparticle size observed.In the course of our study,
one sample of CoFe2O4 (d =
12.9 nm) was discovered to display
wholly anomalous MR behavior. Despite size, compositional, and magnetic
similarity (Figure S7), these particles
were synthesized to have an octahedral habit. Temperature-dependence
of their resistance lacks the characteristic ln R ∝ T–0.5 relationship,
and the magnitude of the resistance is orders of magnitude lower than
that of our other CoFe2O4 and Fe3O4 samples. In fact, the temperature-dependence shown
in Figure looks like
that of a bulk semiconductor, with an intrinsic region from about
100 to 300 K and an extrinsic region below 100 K. The greatly decreased
resistance of the sample supports the idea that it is behaving as
a bulk semiconductor. The truncated octahedral form, lack of bulky
ligands, and pressure applied during pellet formation could promote
enhanced contact between nanoparticles along matching crystal facets.
Fusing of faceted nanoparticles upon ligand removal has been observed
in the literature.[37,38] Although discrete particles are
still distinguishable by scanning electron microscopy (Figure S8), the interfacing of some crystal planes
between nanoparticles could provide increased wave function overlap
between particles, forming a conductive pathway and eliminating the
TMR effect. Charge carriers are able to conduct through this sample
similarly to bulk material, rather than by tunnelling between individual
nanoparticles. In other applications requiring high conductivity in
nanoparticle solids, this mechanism could provide a new materials
processing strategy. The decreased ΔR/R of the 12.9 nm pellet (maximum ΔR/R = 2.2%) compared to the other CoFe2O4 samples demonstrates the importance of tunnelling barriers
and TMR to strong granular MR.
Figure 4
Temperature-dependence of the resistance
of octahedrally faceted d = 12.9 nm CoFe2O4 nanoparticles.
Inset: room temperature magnetoresistance behavior of the same nanoparticles.
Temperature-dependence of the resistance
of octahedrally faceted d = 12.9 nm CoFe2O4 nanoparticles.
Inset: room temperature magnetoresistance behavior of the same nanoparticles.In this work we have performed
the first analysis of the importance
of size on the strength of nanoparticle granular MR. Our results demonstrate
that the size regime of the particle, more than any specific magnetic
parameter, determines the strength of the MR effect. In fact, magnetic
ordering or superparamagnetic blocking are not required—thus
opening the door to a much wider range of potential MR materials that
have remained unexplored. Additionally, it was determined that CoFe2O4 nanoparticles have comparable or favorable MR
values when compared to Fe3O4. Despite the status
of Fe3O4 as the material of choice in the field,
owing to its high predicted spin polarization, the (d = 8.4 nm) CoFe2O4 nanoparticles showed a higher
room temperature maximum ΔR/R of 18.4%, compared to 10.8% for similarly sized Fe3O4. These data help demonstrate the value of colloidal synthesis
to this field, allowing for wide-ranging and inexpensive exploration
of materials with well-defined composition and size in a way that
is not possible by traditional top-down methods. Although the methods
employed here lack the atomic precision of traditional multilayer
thin films, the sheer number of junctions drastically enhances the
chances of an observable effect. This both allows for simple screening
conditions and suggests that optimization of promising materials could
result in drastic improvements.
Authors: Jun Chen; Xingchen Ye; Soong Ju Oh; James M Kikkawa; Cherie R Kagan; Christopher B Murray Journal: ACS Nano Date: 2013-01-03 Impact factor: 15.881