Epitaxial graphene on silicon carbide, or epigraphene, provides an excellent platform for Hall sensing devices in terms of both high electrical quality and scalability. However, the challenge in controlling its carrier density has thus far prevented systematic studies of epigraphene Hall sensor performance. In this work, we investigate epigraphene Hall sensors where epigraphene is doped across the Dirac point using molecular doping. Depending on the carrier density, molecular-doped epigraphene Hall sensors reach room temperature sensitivities of SV = 0.23 V/(VT) and SI = 1440 V/(AT), with magnetic field detection limits down to BMIN = 27 nT/√Hz at 20 kHz. Thermally stabilized devices demonstrate operation up to 150 °C with SV = 0.12 V/(VT), SI = 300 V/(AT), and BMIN ∼100 nT/√Hz at 20 kHz. Our work demonstrates that epigraphene doped close to the Dirac point could potentially outperform III–V Hall elements in the extended and military temperature ranges.

Based on the classical Hall effect, solid-state Hall sensors represent a large portion of magnetometers, which are extensively used in automotive, marine, and consumer electronics applications. Hall sensors based on silicon have a widespread use owing to well-established and low-cost production methods,1–3 but increasing requirements placed on improved magnetic performance or resilience to harsh conditions like high temperatures demand the exploration of other even more suitable materials.4 

Hall sensors detect magnetic fields by measuring the Hall voltage VH induced by an external field B. High device sensitivity implies a large magnitude of VH response to an external field, for a given bias current IB or voltage VB. This leads to two important material-related metrics: the current-related sensitivity SI=VH/(BIB) [V/(AT)], which is essentially determined by the Hall coefficient RH (Ω/T), and the voltage-related sensitivity SV=VH/(BVB) [V/(VT)], which is ultimately limited by the carrier mobility μ=RH/ρ [m2/(V s)], where ρ is the sheet resistance.

Graphene appears to be a natural candidate for highly sensitive Hall elements due to its high mobility and the possibility to tune carrier density n toward charge neutrality (Dirac point). Low carrier density is desirable because it increases the Hall coefficient, RH=1/(ne).5,6 Moreover, since the mobility μ=RH/ρ of graphene is inversely proportional to carrier density as μ1/n,7 decreasing n toward neutrality would increase both SI and SV. In principle, low n leads to an increase in ρ, which follows the relation ρ1/n, in the limit where charged impurity scattering dominates (supplementary material S1).8,9 Yet, decreasing n can actually lead to a lower magnetic field detection limit, BMIN=VN/(IBRH) (T/√Hz), where VN is the voltage noise spectral density (V/√Hz). If Johnson–Nyquist noise dominates, then VN=VTH4kBTρ, with kB being the Boltzmann constant, T the temperature, and the detection limit scaling as BMINVN/RHn for a fixed IB. Disorder in real graphene samples prevents it from reaching true charge neutrality, but high-quality graphene can approach low carrier densities n ∼1010 cm−2 at cryogenic temperatures.10,11

The highest-quality graphene is obtained by mechanical exfoliation of graphite and encapsulation in hexagonal boron nitride (hBN-G). As a Hall sensor, hBN-G has shown ultra-high device sensitivities and detection limits comparable to those of silicon.12 However, this approach serves only as a proof-of-principle of the capabilities of graphene Hall sensors since device fabrication cannot be scaled up. Graphene grown using chemical vapor deposition (CVD) is a more scalable technology, which can also reach high sensitivities, but reported performance varies greatly,13–15 perhaps due to variability in material growth and the need for subsequent transfer to suitable substrates.16 

Epitaxial graphene on the SiC substrate (epigraphene) is another attractive scalable technology. The insulating substrate allows for direct mass fabrication of devices over wafer scales,17,18 forgoing the need for graphene transfer, thus increasing reproducibility and yield. Epigraphene is also compatible with operation at temperatures exceeding common industrial requirements.19,20 Despite these advantages, epigraphene remains relatively unexplored for Hall sensing in the literature, possibly owing to the difficulties in tuning carrier density due to high intrinsic n-doping, pinned by the substrate.21–23 

We report the exploration of the performance limits of epigraphene Hall sensors for varying doping levels across the Dirac point. Carrier density control is enabled by a molecular doping method using electron acceptors F4TCNQ assembled on the surface of epigraphene.11 Devices doped using this method have already shown excellent electrical properties and low charge disorder, albeit at low temperatures.24,25 We investigate Hall sensor figures of merit BMIN, SV, SI, and finally thermal stability in ambient conditions from room temperature and just above 200 °C. Furthermore, we establish the limits for optimal operation of epigraphene Hall devices under realistic operational conditions.

Epigraphene was grown on 4H-SiC chips encased in a graphite crucible and heated using RF heating to around 1850 °C in an inert atmosphere of 1 bar argon.17 Transmission mode microscopy was used to select only samples with over 90% monolayer coverage.26 Device fabrication was performed using standard electron beam lithography. Epigraphene was removed using oxygen plasma etching, and the metal contacts were deposited using physical vapor deposition of 5 nm Ti and 80 nm Au. The finished device was spin coated with molecular dopants and the final carrier density was tuned by annealing at T =160 °C, with varying annealing times depending on the desired final doping level.11 Electrical characterization was performed primarily using the Van der Pauw (VdP) method, with samples measured at room temperature and under ambient conditions unless otherwise stated. A magnetic field perpendicular to the chip surface was applied using a coil electromagnet up to 100 mT. Noise measurements were performed by taking the power spectral density (PSD) using a voltage amplifier DLPVA-100-F-D from Femto Messtechnik GmbH, with the bandwidth limited to 100 kHz and the measured input noise level of 9 nV/√Hz. High-field measurements were performed using a PPMS (Physical Property Measurement System from Quantum Design) cryostat (2–300 K) with a superconducting magnet providing fields up to 14 T. For heating experiments, the sample was mounted using epoxy on a ceramic heater, and temperature was monitored using a Pt100-resistor.

Seven epigraphene Hall sensors [Fig. 1(a)], spread across four chips, were investigated in total. They were designed using symmetric square or cross-shaped geometries optimized with respect to SV.27,28 Cryogenic measurements on a molecular-doped sensor demonstrates a full transition to the half-integer Quantum Hall regime, with vanishing longitudinal resistance ρXX and quantized transverse resistance RXY=h/(2e2) [Fig. 1(b)]. These measurements verify that the devices are made of high-quality monolayer graphene with uniform doping.

FIG. 1.

(a) Optical micrographs of the layout of the investigated epigraphene Hall sensors. Each chip contains an array of sensors with square and cross-shaped geometries. (b) Molecular-doped Hall sensor displays the half-integer quantum Hall effect at cryogenic temperatures. RXY used, e.g., contacts 1–3 for bias current and 2–4 to measure Hall voltage. ρXX used, e.g., 1–2 for bias and 4–3 for voltage measurements.

FIG. 1.

(a) Optical micrographs of the layout of the investigated epigraphene Hall sensors. Each chip contains an array of sensors with square and cross-shaped geometries. (b) Molecular-doped Hall sensor displays the half-integer quantum Hall effect at cryogenic temperatures. RXY used, e.g., contacts 1–3 for bias current and 2–4 to measure Hall voltage. ρXX used, e.g., 1–2 for bias and 4–3 for voltage measurements.

Close modal

Hall measurements of the transverse resistance RXY=VH/IB serve as a basis for the evaluation of epigraphene Hall magnetometers. The Hall coefficient, carrier densities, and mobilities are calculated from measurements in low magnetic fields (B <0.5 T) as RH=dRXY/dB, n=1/(eRH), and μ=RH/ρ, respectively. For the low-field range, the linearity error of RXY is below 1%, which is determined by the percentage deviation of the raw data from the low-field linear fit [Fig. 2(a)]. The samples were tested up to B = 13 T at room temperature. For low doping (RH = 1284 Ω/T), the transversal resistance remains within 5% error in a range of B = ±1.2 T, but for higher doping (RH = 949 Ω/T), the 5% error range increases to B = ±6 T. The non-linearity of RXY is approximately RXYB2 and is known to arise from geometrical and material correction effects.29Figure 2(b) shows a summary of the carrier densities achieved in our experiments. The gap in data near charge neutrality (n = 0) indicates the disordered charge-puddle regime, characterized by a highly non-linear low-field RXY.11 At room temperature, the maximum measured values of RH and μ are RH = 1440 Ω/T and μ = 2300 cm2/(V s), respectively. In terms of charge disorder, at room temperature, epigraphene is in the puddle regime for doping levels |n| < 5 × 1011 cm−2, thus setting the maximum RH attainable in our epigraphene samples.

FIG. 2.

(a) Hall measurements showing linearity of RXY vs applied magnetic field. The inset shows behavior up to 13 T for different doping. The dotted lines are linear fits to low-field data |B| < 0.5 T. (b) Carrier densities n and mobilities μ are extracted from low-field Hall measurements. (c) Linearity of Hall voltage measured at a fixed field of 100 mT vs applied bias current for highly (RH = 400 Ω/Τ; n = 1.6 × 1012 cm−2) and lowly (RH = 1390 Ω/Τ; n = 4.5 × 1011 cm−2) doped devices. The dotted lines are linear fits to low-bias data |IB| < 0.5 mA. The offset in VH at zero field can be compensated by orthogonal vdP measurements and spinning current.29 Typically observed offsets are on the order of 1 mV for a bias current of IB = 10 μA (supplementary material S3).

FIG. 2.

(a) Hall measurements showing linearity of RXY vs applied magnetic field. The inset shows behavior up to 13 T for different doping. The dotted lines are linear fits to low-field data |B| < 0.5 T. (b) Carrier densities n and mobilities μ are extracted from low-field Hall measurements. (c) Linearity of Hall voltage measured at a fixed field of 100 mT vs applied bias current for highly (RH = 400 Ω/Τ; n = 1.6 × 1012 cm−2) and lowly (RH = 1390 Ω/Τ; n = 4.5 × 1011 cm−2) doped devices. The dotted lines are linear fits to low-bias data |IB| < 0.5 mA. The offset in VH at zero field can be compensated by orthogonal vdP measurements and spinning current.29 Typically observed offsets are on the order of 1 mV for a bias current of IB = 10 μA (supplementary material S3).

Close modal

Figure 2(c) shows the linearity of VH at 100 mT up to the bias current of 6 mA, measured for highly and lowly doped devices. We find that for all carrier densities, the current–voltage (I–V) characteristic is linear within 5% error for IB < 2.5 mA. The non-linearity is expected to be ultimately due to self-heating. For instance, the measured Hall voltage may have a longitudinal voltage component, which can change non-linearly with a bias current due to Joule heating (supplementary material S2).29–31 For all subsequent measurements, we limit the bias current to below 1.5 mA to ensure a linear I–V behavior within 2% error.

The measurements in magnetic fields are complemented with noise measurements to unveil the minimum detection limit BMIN. Figure 3(a) shows the low-bias (IB = 10 μA) voltage noise spectral density VN measured at the Hall voltage terminals for different doping levels. In the low bias regime, the corner frequency of 1/f noise is around ∼30 Hz. As doping in epigraphene approaches the Dirac point, the sheet resistance of the devices increases as ρ1/n, and consequently, the larger input and output resistance of the devices increases thermal noise. Dotted lines in Fig. 3(a) are the thermal voltage noise VTH calculated using measured input resistance. The agreement with experimental noise data points to the fact that, at low bias, thermal noise dominates in our sensors. Figure 3(b) shows the increase in the 1/f noise contribution at larger bias currents, which nearly follows Hooge's empirical relation [Fig. 3(b) inset],32 implying that the excess noise is mostly due to resistance fluctuations. The Hooge parameter αH, which is an indication of noisiness of the devices, is in the range of αH105104 for n = 4.4 × 1011–1.3 × 1012 cm−2, lower than that of suspended graphene samples33 and comparable to that of GaAs.34 The deviation from ideal linear behavior could be due to joule heating30 and carrier density excitations.15 In practical devices, the excess noise can be alleviated by using spinning Hall current measurement techniques.29 

FIG. 3.

(a) Noise performance for one Hall sensor measured at different doping levels. The dotted lines are calculated noise levels assuming pure thermal noise of a resistor. (b) Measured voltage noise spectral density vs bias current in another lowly doped device. Noise peaks related to the power line have been partially filtered out digitally with sliding window averaging. Inset: the noise amplitude vs bias current at two different frequencies (black dotted lines).

FIG. 3.

(a) Noise performance for one Hall sensor measured at different doping levels. The dotted lines are calculated noise levels assuming pure thermal noise of a resistor. (b) Measured voltage noise spectral density vs bias current in another lowly doped device. Noise peaks related to the power line have been partially filtered out digitally with sliding window averaging. Inset: the noise amplitude vs bias current at two different frequencies (black dotted lines).

Close modal

The measured sensitivities for epigraphene Hall sensors and their dependence on doping, collected across all measured devices, are summarized in Fig. 4(a). The highest SI is reached for low doping levels, close to the puddle regime n ∼5 × 1011 cm−2. The highest SV occurs slightly outside the puddle regime, at doping levels n ∼ 6 × 1011 cm−2. We have performed full noise spectrum characterization [e.g., Fig. 3(b)] for four doping levels to obtain BMIN=VN/(IBRH), which includes not only intrinsic noise of epigraphene (thermal and 1/f noise) but also amplifier noise. Figure 4(b) shows BMIN as a function of IB, measured at a frequency of 3 kHz for fair comparison to other graphene devices reported in the literature. The best BMIN= 47 nT/√Hz is attained at lowest doping n ∼ 5 × 1011 cm−2, for IB = 400 μA. At higher frequencies, where the 1/f noise contribution is lower, BMIN can be naturally lower with BMIN = 27 nT/√Hz, for n ∼5 × 1011 at 20 kHz [inset Fig. 4(b)]. The non-monotonic change of BMIN is directly related to the non-linearity of noise voltage [e.g., inset in Fig. 3(b)].

FIG. 4.

(a) SI (orange region) and SV (purple region) vs RH compiled from seven Hall sensors across four chips (Sq = square shaped; Cr = cross shaped). The two sequences of data points span high to low doping (starting from the leftmost point). (b) BMIN vs bias current calculated directly from measured noise data for 3 kHz. The inset also shows data for 20 kHz. (c) Investigation of thermal stability of RH by measuring RH at elevated sample temperatures, for different initial room temperature doping. The error bars represent two standard deviations for measured RH averaged over 10–15 min of measurements. Samples at low carrier density experience a permanent doping change at around 80 °C. But the cured device (red squares) is robust against thermal cycling up to 150 °C.

FIG. 4.

(a) SI (orange region) and SV (purple region) vs RH compiled from seven Hall sensors across four chips (Sq = square shaped; Cr = cross shaped). The two sequences of data points span high to low doping (starting from the leftmost point). (b) BMIN vs bias current calculated directly from measured noise data for 3 kHz. The inset also shows data for 20 kHz. (c) Investigation of thermal stability of RH by measuring RH at elevated sample temperatures, for different initial room temperature doping. The error bars represent two standard deviations for measured RH averaged over 10–15 min of measurements. Samples at low carrier density experience a permanent doping change at around 80 °C. But the cured device (red squares) is robust against thermal cycling up to 150 °C.

Close modal

Finally, Fig. 4(c) shows the thermal stability of the molecular-doped Hall sensor through the temperature coefficient ΔT, defined as the percentage change of RH from its room temperature value per degree Celsius. Samples doped close to neutrality (RH = 1400 Ω/T) display a temperature coefficient of ΔT = −0.6%/°C and undergo irreversible changes in the doping level at T ≈80 °C (supplementary material S4). We achieve the highest thermal stability with samples annealed for ∼4 h at T = 160 °C, after which the room temperature RH reached a stable value of RH ∼300 Ω/T due to partial desorption of dopants.11 After this curing step at 160 °C, samples showed a fairly low ΔT = −0.03%/°C up to T = 150 °C, while still displaying respectable performance at T = 150 °C, with SV ∼ 0.12 V/(VT), SI ∼300 V/(AT), and BMIN ∼100 nT/√Hz.

Table I shows a comparison of our devices with other Hall sensors reported in the literature. The maximum current-related sensitivity in doped epigraphene is found to be on the order of SI ∼1500 V/(AT) at room temperature. This value is limited by the minimum n attained in our sample (|n| < 5 × 1011 cm−2) and is set by the disorder present in the as-grown material, combined with additional contributions from external doping and thermally excited carriers in the dopant layer and the SiC substrate. Decoupling epigraphene and substrate by hydrogen intercalation has led to high μ at cryogenic temperatures. However, at room temperature, the lowest n values reported for H-intercalated epigraphene are all above 1 × 1012 cm−2, with μ ∼1300–1700 cm2/(V s).40 These mobilities are lower than the highest reported for epigraphene at room temperature [μ = 5500 cm2/(V s)]23,41 and the ones achieved in this work [μ  = 2300 cm2/(V s)]. Above room temperature, interactions between epigraphene and the substrate via longitudinal-acoustic and remote interfacial phonon scattering further degrade mobility. The stable temperature range (T < 80 °C) for samples doped close to the Dirac point is determined by our current choice of doping method.11 A high thermal stability up to T = 150 °C is achieved after curing the samples at a temperature of 160 °C for 4 h. The resulting temperature coefficient ΔT = −0.03%/°C could then be understood as the intrinsic thermal drift of epigraphene and not due to desorption of dopants. This implies that by using an alternate thermally stable doping scheme, epigraphene could well outperform Hall element-based III–V at high temperatures.29,36–38 Our work paves the way for the development of epigraphene Hall sensors for real-world applications, which require durable, controllable, and sensitive devices produced in a scalable way.

TABLE I.

Figures of merit for room temperature Hall sensor performance, including graphene-based Hall sensors and commercially available sensors based on silicon and III-V materials. Boldface denotes data from this work.

TypeSI [V/(AT)]SV [V/(VT)]BMIN (nT/√Hz)Frequency (kHz)
Si29,35 100 0.1 50–500 0.1–100 
InSb29,36–38 140–700 1–7.2 1–60 0–50 
GaAs29,36–38 30–3200 0.6–1 10–6000 0–50 
hBN-G12  4100 2.6 50 
CVD15  2093 0.35 100 
CVD13  1200 N/A 300 000 
CVD14  97 0.03 400 000 
Epi39  1021 0.3 2000 
Epi (this) 1080 0.23 60, 40 3, 20 
Epi (this) 1442 0.21 47, 27 3, 20 
TypeSI [V/(AT)]SV [V/(VT)]BMIN (nT/√Hz)Frequency (kHz)
Si29,35 100 0.1 50–500 0.1–100 
InSb29,36–38 140–700 1–7.2 1–60 0–50 
GaAs29,36–38 30–3200 0.6–1 10–6000 0–50 
hBN-G12  4100 2.6 50 
CVD15  2093 0.35 100 
CVD13  1200 N/A 300 000 
CVD14  97 0.03 400 000 
Epi39  1021 0.3 2000 
Epi (this) 1080 0.23 60, 40 3, 20 
Epi (this) 1442 0.21 47, 27 3, 20 

See the supplementary material for extra data on sheet resistance vs carrier density, linearity error, offset voltage, and heating ramps.

We thank Alexander Tzalenchuk for insightful discussions. This work was jointly supported by the Swedish Foundation for Strategic Research (SSF) (Nos. GMT14-0077 and RMA15-0024), Chalmers Excellence Initiative Nano, VINNOVA (Nos. 2017-03604 and 2019-04426), and European Union's Horizon 2020 research and innovation programme under Marie Sklodowska-Curie Grant Agreement No 766025. This work was performed in part at Myfab Chalmers.

The authors declare that the main data supporting the findings of this study are available within this article and supplementary material. Additional data are available from the corresponding author upon request.

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