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Bias-dependent layer-resolved Raman evidence for interfacial asymmetry in vertical graphene/MoSe2/graphene junctions on SiO2/Si substrates

Youngro Leeab and Jaewu Choi*a
aQuantum Information Display Laboratory, Department of Information Display, Kyung Hee University, 26, Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea. E-mail: jaewuchoi@khu.ac.kr
bLaboratory for Quantum Magnetism, Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland

Received 27th March 2026 , Accepted 2nd June 2026

First published on 15th June 2026


Abstract

Vertical graphene/MoSe2/graphene (Gr/MoSe2/Gr) junctions are promising for tunable electronics as well as optoelectronics based on vertical transport. To identify the junction properties of a vertically stacked Gr/MoSe2/Gr junction on SiO2/Si, we combine in situ bias-dependent Raman spectroscopy with temperature-dependent transport measurements. At zero bias, the Raman response of the two graphene electrodes appears as a single overlapped feature. Under finite bias, this response separates into two distinct contributions, which allows layer-resolved extraction of the chemical potential shifts of the two graphene electrodes. The extracted shifts are strongly asymmetric, with Grbot showing a consistently smaller response than Grtop under both bias polarities. This result indicates that the junction is better described as an asymmetric back-to-back Schottky diode with a less electrostatically tunable bottom interface. The device also exhibits a clear hysteresis loop in the cyclic current–voltage characteristics, indicating history-dependent hysteretic transport characteristics. At room temperature, the transport remains nearly symmetric, but the polarity asymmetry becomes stronger at higher temperature. A plausible origin is an asymmetric junction formed by different defect environments at the two interfaces. MoSe2 can contain intrinsic Se vacancies. Upon additional exposure of the upper MoSe2 surface, some of these vacancy sites can undergo O substitution, whereas the lower interface can retain a stronger Se vacancy character. These in-gap Se vacancy states may contribute to Fermi level pinning. A temperature-dependent change in this pinning condition may further change the effective barrier profile and thereby enhance the transport asymmetry. These results show that interface quality and transfer history play a central role in determining the electrostatic response of vertical Gr/MoSe2/Gr heterostructures.


Introduction

Electrically tunable stacked van der Waals heterostructure devices based on the atomically thin two-dimensional layers are promising for electronics, optoelectronics, sensing, memory, and quantum applications.1–9 Among them, vertically stacked graphene/transition-metal-dichalcogenide/graphene (Gr/TMD/Gr) heterostructures offer a unique platform for the aforementioned applications.10–14 An atomically thin TMD spacer provides an atomically defined barrier as well as electrical and optical functionality, while graphene electrodes enable efficient electrostatic tunability because the density of states near the Dirac point is low.15–17 However, bias-driven interactions in Gr/TMD/Gr junctions are often inferred indirectly. Many studies rely on static spectroscopy or on current–voltage (IV) characteristics alone, which does not uniquely determine how charge redistributes between the upper and lower graphene layers under an applied bias.18–20 In practice, the measured vertical transport can mix contributions from tunneling through the spacer, parasitic leakage paths, and contact-related effects, obscuring the connection between device characteristics and layer-specific electrostatics.

Among common TMD spacers, MoSe2 is particularly convenient because it provides a semiconducting barrier with strong optical transitions in the visible and a clear Raman fingerprint that can be used as an internal structural reference.21–23 In the monolayer limit, MoSe2 exhibits a direct optical gap near 1.55 eV, which highlights its suitability for optoelectronic operation, while thicker layers evolve toward a smaller indirect gap.24,25 In addition, the interlayer spacing in bulk MoSe2 is about 0.65 nm,26,27 providing a simple geometric scale for few layer thickness estimates in stacked junctions. These considerations raise the question of whether the two Gr/MoSe2 interfaces in a real vertically stacked device remain electrostatically equivalent after ambient transfer and stacking.

In this context, bilayer MoSe2 devices provide a useful platform for examining whether the two Gr/MoSe2 interfaces remain electrostatically equivalent under applied bias, particularly when interfacial residues, trapped charges, and local inhomogeneity perturb the electrostatic landscape. In this work, we investigate a vertically stacked bilayer Gr/MoSe2/Gr junction on SiO2/Si by combining in situ bias-dependent Raman spectroscopy and temperature-dependent DC transport. This approach allows us to compare the bias response of the two graphene electrodes within the same device and to examine how interfacial asymmetry emerges in the electrical and spectroscopic response.

Experimental details

Graphene was synthesized on a 35 µm thick Cu foil by chemical vapor deposition (CVD).28–31 Prior to growth, the Cu foil was annealed at 1000 °C for 30 min under Ar (100 sccm) and H2 (50 sccm). Graphene growth was then carried out at 1000 °C using CH4 (5 sccm) for 8 min. For transfer, Poly(methyl methacrylate) (PMMA) (40 g L−1 in 1,2-dichlorobenzene) was spin coated onto the graphene at 2000 rpm to form a PMMA-supported film. The underlying Cu was etched in a 0.7 M FeCl3 solution. After Cu etching, the PMMA/Gr film was rinsed sequentially through fresh deionized water baths several times to remove residual FeCl3 and ionic contaminants before being transferred onto the target substrate.

The graphene film was cut into rectangular pieces of approximately 10 mm × 2.5 mm and transferred diagonally onto a 10 mm × 10 mm SiO2/Si substrate with a 300 nm SiO2 layer. After transfer, the sample was baked at 150 °C for 15 min, immersed in acetone at 60 °C for 1 h to remove PMMA, and annealed at 350 °C in an Ar and H2 atmosphere for 2 h.

A commercial MoSe2 film (Sixcarbon Technology, 10 mm × 10 mm on SiO2/Si substrate) was cut into approximately 5 mm × 5 mm pieces and transferred onto the bottom graphene using a PMMA-assisted wet transfer. The MoSe2 piece was aligned approximately with the edges of the substrate, without intentional rotation, followed by the same PMMA removal and annealing procedure. A second graphene strip of approximately 10 mm × 2.5 mm was then transferred onto the MoSe2 layer using the same method. The two graphene strips were arranged in a crossed geometry so that their overlap occurred only through the MoSe2 region, yielding a nominal junction area of approximately A = 2.5 mm × 2.5 mm. The effective transport area may be smaller in the presence of local interfacial inhomogeneity. Electrical contacts to the top and bottom graphene electrodes were made using silver paste, which was allowed to dry in ambient conditions prior to measurements.

The Raman spectra of the device were measured using a T64000 JobinYvon system with a 532 nm laser and an optical power of 0.6 mW. The scattered signal was collected in a backscattering geometry using a 100× objective, giving a spot diameter of approximately 1 µm. In situ bias-dependent Raman measurements were performed at V = −5, 0, and +5 V applied between the two graphene electrodes, where a positive bias corresponds to applying +V to the bottom graphene electrode with respect to the top graphene electrode.

I-V characteristics were measured using a Keithley 6430 femtoammeter under ambient conditions. In the single pass mode, the bias was swept from −5 to +5 V in 0.25 V steps. For cyclic measurements, the bias was swept in the sequence 0 to +5 to 0 to −5 to 0 V with the same 0.25 V step size. Throughout this work, forward bias (V > 0) denotes the positive bias voltage applied to the bottom graphene electrode, whereas reverse bias (V < 0) denotes the negative bias voltage applied to the top graphene electrode. Temperature-dependent measurements were performed using the same setup with the device mounted on a hot plate at 328 and 423 K. For each temperature, the device was held until the current response stabilized before the voltage sweep.

Results and discussion

Device overview and baseline characterization

Fig. 1 summarizes the device geometry and baseline Raman fingerprints of the Gr/MoSe2/Gr heterostructure on Si/SiO2. Fig. 1(a) shows the device layout, Raman probe positions, and an enlarged schematic of the bilayer MoSe2 region between the top and bottom graphene electrodes. The enlarged schematic includes representative defect-related sites as a structural guide for the later discussion of interfacial asymmetry. Fig. 1(b) shows the optical microscope image of the fabricated device, while Fig. 1(c) presents a representative Raman spectrum measured in the full stack region. The spectrum contains the MoSe2 vibrational mode together with the graphene G and 2D bands and the Si substrate features. No additional Raman features attributable to PMMA residue were resolved within the measured spectral range. The inset provides an expanded view of the MoSe2 mode region. The out-of-plane A1g mode appears at about 241.3 cm−1, consistent with bilayer MoSe2.35–38
image file: d6tc01000h-f1.tif
Fig. 1 (a) Schematics of the vertical Gr/MoSe2/Gr heterostructure fabricated on a Si/SiO2 substrate. Raman measurements were performed in three representative regions: (1) Gr only (green), (2) Gr/MoSe2 (blue), and (3) the full Gr/MoSe2/Gr stack (red). The enlarged schematic on the right illustrates the bilayer MoSe2 region between the top and bottom graphene electrodes, with representative Se vacancies and O-related sites included to visualize the possible interfacial asymmetry.32,33 This atomic structural image of MoSe2 and graphene was drawn with the program VESTA.34 (b) Optical microscope image of the fabricated device on the Si/SiO2 substrate. The yellow dashed outline indicates the transferred strip. The pink box marks the region enlarged in the inset, which shows the junction area in more detail. The red and blue squares indicate the laser probe positions corresponding to the regions defined in panel (a). (c) Representative Raman spectrum measured in region (3), corresponding to the Gr/MoSe2/Gr stack. The labeled peaks identify the corresponding spectral features. The inset highlights the MoSe2 mode region. (d) Enlarged Raman spectra around the graphene G and 2D bands measured in regions (1)–(3). Solid black lines are independent Lorentzian fits to the graphene G and 2D peaks.

Fig. 1(d) compares the graphene G and 2D bands measured in the three regions as marked in Fig. 1(a). The G and 2D bands were fitted separately using Lorentzian functions, and the extracted peak positions and FWHM values are summarized in Table 1. Relative to the Gr only region (1), both peaks shift to lower wavenumbers in the MoSe2-containing regions (2,3), whereas the FWHM remains comparable across all three regions. These systematic shifts indicate that the graphene Raman response is modified by the local interfacial environment in the Gr/MoSe2/Gr heterostructure. At V = 0 V, the graphene Raman response is consistent with hole doping, with the Fermi level located about 0.22 eV below the Dirac point.39

Table 1 Lorentzian fit results for the graphene G and 2D bands measured in the three regions defined in Fig. 1. Values in parentheses denote the standard deviation in the final reported digits. Uncertainty in I2D/IG was estimated by standard error propagation from the fitted amplitude and width parameters
Parameters Gr only Gr/MoSe2 Gr/MoSe2/Gr
G position (cm−1) 1603.40(5) 1587.90(5) 1585.00(3)
G FWHM (cm−1) 13.01(30) 16.24(17) 13.89(18)
2D position (cm−1) 2703.10(5) 2695.20(5) 2694.60(10)
2D FWHM (cm−1) 39.75(30) 38.30(24) 38.13(38)
I2D/IG 0.77(5) 1.09(4) 0.65(3)


To further support the bilayer assignment inferred from the MoSe2 A1g position in Fig. 1(c), we also consider a simple optical attenuation estimate based on the fitted graphene Raman intensities in Fig. 1(d). For MoSe2 at λ = 532 nm, we take k ≈ 1.55, corresponding to an absorption coefficient α = 4πk/λ ≈ 4.1 × 107 m−1.40,41 In the first approximation, the measured Raman intensity from the Grbot scales as exp (−2αd) due to attenuation of both the incident and scattered light through a MoSe2 layer of thickness d. Using the ratio of the fitted graphene G peak maxima between region (2) and region (1), (IGr+MoSe2/IGr ≈ 0.90), we obtain d ≈ 1.3 nm. This value is consistent with the thickness of bilayer MoSe2 (≈2 × 0.65 nm).26,27 Because graphene Raman intensities can also be affected by charge transfer, optical interference on Si/SiO2, and strain, we treat this attenuation-based estimate only as a qualitative consistency check rather than an independent thickness determination.

Bias-dependent interactions between graphene layers

Fig. 2 combines bias-dependent transport and Raman analyses of the vertical Gr/MoSe2/Gr junction. Panels (a)–(c) provide an effective electrical parameterization of the measured I–V response, while panels (d)–(f) track the layer-resolved evolution of the graphene Raman features under applied bias.
image file: d6tc01000h-f2.tif
Fig. 2 (a) I–V characteristics of the Gr/MoSe2/Gr device. The current windows labeled (i) to (iv), defined from the interval-dependent analysis in panel (b), are indicated for reference. (b) Cheung plot dV/d(ln[thin space (1/6-em)]I) versus I, constructed from the data in panel (a). The four current windows (i) to (iv) were fitted separately because the slope changes across the measured range. The inset shows the differential resistance dV/dI derived from the same I–V curve. (c) Cheung function H(I) versus I, where H(I) ≡ VnkBT/q × ln (I/AA*T2), evaluated using the interval-dependent n values extracted from panel (b). Here A = 6.25 mm2 is the nominal geometric overlap area of the junction, and A* = 2.4 × 10−5 A mm−2 K−2 is the Richardson constant.42 The same current windows are indicated. (d) In situ Raman spectra of the graphene G and 2D band recorded at applied biases of +5, 0, and −5 V. Open symbols denote the data, and the total fits are shown by black and red curves. The fitted graphene components are shown by the pink and green curves, assigned to the Grbot and Grtop electrodes, respectively. (e) Peak positions of the G and 2D bands extracted from the fits at +5 V for Grbot (pink) and Grtop (green), shown together with the corresponding 0 V values. The extracted G peak positions are converted to carrier concentration and Fermi energy using the reference calibration (solid black curve).39 Error bars are smaller than the marker size and are therefore not visible. (f) Same analysis as in panel (e) for −5 V, shown together with the 0 V values for comparison.

The measured I–V characteristics in Fig. 2(a) suggest that the present device is better viewed as a back-to-back Schottky junction. For a simplified analysis, we nevertheless apply the Cheung method within a single-diode thermionic-emission picture.43 The resulting parameters should therefore be regarded as effective quantities rather than unique microscopic junction properties. Fig. 2(b) shows that dV/d[thin space (1/6-em)]ln[thin space (1/6-em)]I varies in slope across the measured current range, indicating that no single parameter set describes the full response. We therefore divide the data into four current intervals, labeled (i) to (iv), and perform separate linear fits in each region.

The corresponding Cheung function in Fig. 2(c) provides a complementary effective description of the barrier-related response. In the low-current intervals, the apparent series resistance remains fairly consistent between the two analyses, with representative values of about 38 W. The corresponding effective barrier-related energies are on the order of 0.3–0.4 eV, whereas the apparent ideality factor is modest only in the low-current intervals and becomes nonphysical at higher current. Taken together, these results further indicate that no single parameter set describes the full I–V response. We therefore use the Cheung analysis only as an effective parameterization of the measured junction behavior. The full region-dependent fitting results are provided in the SI.

To probe the electrostatic state of each graphene electrode more directly, we therefore turn to bias-dependent Raman spectroscopy. Fig. 2(d) shows in situ Raman spectra of the graphene G and 2D bands measured at V = +5, 0, and −5 V. At 0 V, the G band is well described by a single Lorentzian, indicating that the two graphene layers have similar Fermi levels within the present spectral resolution. Under finite bias, however, the G band broadens markedly and deviates from a single-peak profile, even though the applied bias is the only experimental parameter changed. The 2D bands show a similar broadening and line shape evolution under finite bias. Although strain and spatial inhomogeneity can also affect Raman line shapes, the correlated response of the G and 2D bands is more naturally explained by electrostatic doping.44–46

The fitted Raman peak positions were converted to carrier concentration using the Raman doping calibration shown by the black solid line in Fig. 2(e) and (f).39 The carrier concentration n2D was converted to the Fermi energy through

 
image file: d6tc01000h-t1.tif(1)
The extracted fit parameters and derived electronic quantities are summarized in Table 2. Fig. 2(e) and (f) summarize the extracted values at V = +5 and −5 V, respectively, together with the corresponding 0 V position for comparison. The doping sign was assigned as p-type based on Hall measurements reported previously for graphene grown under comparable conditions on SiO2/Si.30,31 At V = +5 V, Grbot and Grtop shift toward the Dirac point by about ΔEF = 17(8) meV and 84(9) meV, respectively. At V = −5 V, Grbot shifts toward the Dirac point by about ΔEF = 39(8) meV, whereas Grtop shifts away from it by about 74(6) meV.

Table 2 Peak positions and FWHM values extracted from Lorentzian fits to the bias-dependent Raman spectra in Fig. 2. The carrier concentration n2D was estimated from the fitted G peak positions using the Raman doping calibration in ref. 39, and the corresponding Fermi energy EF was obtained from the graphene Dirac relation. The values in parentheses denote the standard deviation in the final reported digits. Uncertainties in n2D and EF were estimated by propagating the fitted G peak uncertainty
Condition G position (cm−1) G FWHM (cm−1) 2D position (cm−1) 2D FWHM (cm−1) n2D (×1012 cm−2) EF (meV)
+5 V, Grbot 1583.8(5) 25.8(20) 2694.9(4) 37.5(9) −2.40(14) −199(6)
+5 V, Grtop 1580.2(6) 15.1(7) 2679.6(2) 26.5(4) −1.05(13) −132(8)
0 V, both Gr 1584.9(1) 15.7(4) 2694.7(2) 40.3(9) −2.84(12) −216(5)
−5 V, Grbot 1582.5(3) 12.5(5) 2688.6(10) 31.3(27) −1.89(12) −177(6)
−5 V, Grtop 1589.5(3) 9.2(9) 2704.4(14) 41.3(32) −5.09(12) −290(3)


These results show that the two graphene electrodes do not respond electrostatically in an equivalent manner under applied bias. In both bias polarities, Grbot exhibits a consistently smaller chemical potential shift than Grtop. The finite bias Raman response therefore reveals a clear interface-dependent asymmetry in the electrostatic response of the junction.

This reduced bias response of Grbot is consistent with lower electrostatic tunability at the MoSe2/Grbot interface. One possible microscopic origin is a nonequivalent defect environment at the two interfaces. In particular, additional air exposure of the upper MoSe2 surface prior to the Grtop transfer may modify the local defect population relative to the lower interface.

Hysteretic transport associated with interfacial trapping

Fig. 3 shows a clear hysteresis loop in the cyclic I–V response, indicating that the transport depends on the sweep history. Repeated cyclic measurements under the same bias protocol showed reproducible hysteretic behavior. This behavior is consistent with a history-dependent interfacial process, such as charge trapping and detrapping, at the MoSe2/Grbot interface.32,33 Combined with the reduced bias response of Grbot observed in the Raman analysis, the cyclic transport curves suggest that the MoSe2/Grbot side is less electrostatically tunable due to interfacial charge trapping. The defect-related states near the MoSe2/Grbot partially screen the applied bias and pin the graphene Fermi level. Furthermore, the slow charging and discharging of these states during the voltage sweep can modify the local barrier profile, producing the observed hysteretic transport which can be viewed as a potential defect-driven memory device. The hysteretic transport therefore aligns with the same interfacial asymmetry identified spectroscopically, further indicating that the bottom interface is the less ideally tunable side of the junction.
image file: d6tc01000h-f3.tif
Fig. 3 Hysteretic transport in the vertical Gr/MoSe2/Gr junction. Cyclic I–V characteristic measured at 300 K, showing a clear hysteresis loop. The numbers 1 to 4 indicate the measurement sequence and corresponding scan direction within the hysteresis loop.

Temperature-dependent enhancement of transport asymmetry

The temperature-dependent transport in Fig. 4 further highlights the interfacial asymmetry identified by Raman spectroscopy. Under positive bias, the current increases with temperature, whereas under negative bias the current magnitude decreases. This contrasting temperature response leads to a marked increase in the rectifying ratio and shows that the polarity asymmetry becomes stronger at elevated temperature. The temperature dependence therefore does not merely enhance conduction, but selectively amplifies the pre-existing polarity asymmetry of the junction.
image file: d6tc01000h-f4.tif
Fig. 4 Temperature-dependent enhancement of transport asymmetry in the vertical Gr/MoSe2/Gr junction. Temperature-dependent IV characteristics measured in a separate single-pass sweep from −5 to + 5 V at 300, 328, and 423 K. With increasing temperature, the response becomes more asymmetric, with enhanced current under positive bias and suppressed current under negative bias. The inset shows the rectifying ratio, defined as |I(+5 V)/I(−5 V)|, as a function of temperature.

The enhancement of the rectification shown in the inset of Fig. 4 is the central feature showing the temperature-dependent interfacial behaviors. If the temperature dependence were governed only by thermionic activation process, the current increase in both polarities would be expected unlike what we observed in Fig. 4. In contrast, the present device shows opposite temperature trends in the bias directions. The positive-bias branch becomes more conductive, whereas the negative-bias branch becomes more blocking. Such opposite temperature trends are difficult to explain solely by a global series-resistance increase or irreversible contact degradation, since these effects would generally be expected to suppress the current magnitude in both bias polarities. This behavior suggests that the effective MoSe2/Gr barrier profile changes with temperature in a polarity-dependent manner.

Consistent with this behavior, a possible explanation is that temperature-dependent charge redistribution at the bottom interface changes the initial pinning condition and is associated with a change in the effective barrier profile under negative bias. In this picture, the additional blocking contribution under negative bias can outweigh the usual thermal enhancement of carrier injection, leading to a reduced current magnitude and an increased rectifying ratio at elevated temperature.

Modeling of interfacial asymmetry

Building on the results above, we use the qualitative schematic band diagrams in Fig. 5 to provide a unified picture of the present junction in terms of interface-specific asymmetry. In vertically assembled Gr/TMD/Gr junctions, the two interfaces are not necessarily equivalent in practice, even when the nominal stack is symmetric. Processing history and oxygen exposure can introduce nonequivalent local environments at the top and bottom interfaces, which in turn may lead to different electrostatic responses under applied bias. Fig. 5(a) shows an idealized zero bias alignment without interfacial defects, based on the bilayer MoSe2 band gap and representative energy offsets reported for graphene contacted MoSe2.25,47 Fig. 5(b) presents a more realistic zero bias reference for the present device by introducing defect-related states near the MoSe2/Grbot interface. In this schematic picture, Se-vacancy-induced in-gap states and O-substitution-related states below the valence band edge can give rise to Fermi level pinning.32,33 Fig. 5(c) and (d) then schematically illustrate how the band profile evolves under positive and negative bias when the experimentally extracted graphene chemical potential shifts are taken into account. Fig. 5(e) further extends this picture to high temperature under negative bias, where the band profile is modified to reflect the enhanced effective Schottky barrier inferred from the temperature-dependent transport.
image file: d6tc01000h-f5.tif
Fig. 5 Qualitative schematic band diagrams of the vertical Gr/MoSe2/Gr junction used to guide the discussion. (a) Reference zero-bias band alignment of the Gr/MoSe2/Gr stack, showing the MoSe2 band gap and representative energy offsets used in the discussion.25,32,33,47 (b) Modified zero-bias alignment including defect-related states, illustrating the interfacial asymmetry and partial pinning inferred from experiment.25,47,48 The red gradient is introduced schematically to represent a defect-rich interfacial region and the resulting asymmetry and partial pinning inferred from the Raman and transport data.32,33,49 (c) Schematic band diagram at V = + 5 V including the layer-resolved graphene chemical-potential shifts extracted from the Raman analysis. (d) Schematic band diagram at V = −5 V at 300 K including the Raman-derived chemical-potential shifts. (e) Proposed band diagram at V = −5 V at elevated temperature, illustrating a temperature-dependent change in the Grbot pinning condition and the resulting increase in the effective Schottky barrier at the Grbot/MoSe2 interface. The effective MoSe2/Gr interfacial barriers are indicated schematically to emphasize that the vertical transport is governed by the bias-dependent barrier profile.

Taken together, the bias-dependent Raman shifts, the hysteretic transport response, and the temperature-dependent polarity asymmetry indicate that the Gr/MoSe2/Gr junction cannot be described as a fully symmetric vertical stack, but is better understood as an asymmetric back-to-back Schottky junction. A possible origin of this asymmetry lies in the different defect environments that can develop at the two MoSe2 interfaces during device assembly. The atomic schematic in Fig. 1(a) provides a structural basis for this picture by illustrating representative Se vacancies and O-related sites in the bilayer MoSe2 region between the two graphene electrodes. In MoSe2, Se vacancies are commonly formed and generally act as n-type donor-like defects, whereas exposure of the upper MoSe2 surface to ambient conditions prior to graphene transfer can promote partial passivation or substitution by oxygen. Such O-related states are expected to lie below the MoSe2 valence band edge. Therefore, even a defect-containing junction can become electrostatically asymmetric when the top and bottom interfaces are exposed to different local chemical environments. Within this picture, the Grbot/MoSe2 side can retain a larger Se vacancy contribution and therefore exhibit stronger Fermi level pinning, so that the corresponding graphene chemical potential does not shift as strongly under applied bias. This interpretation is consistent with the Raman analysis, which reveals a reduced bias induced chemical potential response for the interface associated with the negative bias limiting branch. At elevated temperature, a partial weakening of this pinning can increase the effective Schottky barrier on the negative bias side, and if this increase outweighs the usual thermally assisted carrier emission, the current magnitude can decrease rather than increase. In this way, the temperature-dependent transport can be understood as a polarity-dependent evolution of the effective barrier response within an already asymmetric back-to-back Schottky junction, consistent with a temperature-dependent change in the pinning condition at elevated temperature. Within this qualitative picture, interface engineering emerges as a practical route for controlling hysteretic transport and temperature-dependent barrier modulation in vertical 2D junctions. In particular, encapsulation and surface passivation may help tune defect asymmetry and thereby modify the resulting transport response.

Conclusions

In conclusion, we identify bias-dependent interfacial asymmetry, history-dependent hysteretic transport characteristics, and temperature-dependent changes in the effective barrier profile in a vertically stacked bilayer Gr/MoSe2/Gr junction by combining in situ bias-dependent Raman spectroscopy and temperature-dependent transport characterizations. Under finite bias, the graphene Raman response evolves from a single-component line shape into two distinct contributions, enabling layer-resolved extraction of the chemical-potential shifts of the two graphene electrodes. The extracted shifts are strongly asymmetric, with Grbot showing a consistently smaller response than Grtop, indicating that the bottom interface is less electrostatically tunable.

The hysteretic IV response and the polarity-dependent temperature response are both consistent with Fermi level pinning at the MoSe2/Grbot interface. This behavior may reflect a nonequivalent defect environment created during transfer and stacking. In particular, Se-related defects may remain more prominent at one interface. At the other interface, additional air exposure of the upper MoSe2 surface before the transfer of Grtop may promote O-related defect modification, thereby producing an asymmetric junction. At higher temperature, a temperature-dependent change in the pinning condition at the bottom interface may increase the effective barrier height under negative bias and further enhance the transport asymmetry.

More broadly, these results show that the electrostatic response of vertical Gr/MoSe2/Gr is governed not only by the nominal layer sequence but also by the interfacial condition established during transfer and stacking. This highlights that interface engineering, either to suppress defect-related pinning and recover larger electrostatic chemical-potential shifts or to control pinning in a controlled manner, could provide a useful route to tuning the operation of future electronic and optoelectronic devices.

Author contributions

Youngro Lee: conceptualization, investigation, methodology, formal analysis, data curation, visualization, writing – original draft, writing – review and editing. Jaewu Choi: conceptualization, supervision, project administration, resources, funding acquisition, writing – review and editing.

Conflicts of interest

There are no conflicts to declare.

Data availability

The data supporting this article are available.

The supplementary information (SI) provides a more detailed analysis of the data presented in Fig. 2(b) and (c), using the same dataset as that used in the main text. See DOI: https://doi.org/10.1039/d6tc01000h.

Acknowledgements

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2019R1F1A1063643, RS-2026-25491298 and BK21 FOUR Program).

Notes and references

  1. W. Liao, Y. Huang, H. Wang and H. Zhang, Appl. Mater. Today., 2019, 16, 435–455 CrossRef.
  2. H. L. Hou, C. Anichini, P. Samorí, A. Criado and M. Prato, Adv. Funct. Mater., 2022, 32, 2207065 CrossRef CAS.
  3. P. V. Pham, S. C. Bodepudi, K. Shehzad, Y. Liu, Y. Xu, B. Yu and X. Duan, Chem. Rev., 2022, 122, 6514–6613 CrossRef CAS PubMed.
  4. H. Xu, Y. Xue, Z. Liu, Q. Tang, T. Wang, X. Gao, Y. Qi, Y. P. Chen, C. Ma and Y. Jiang, Small Sci., 2024, 4, 2300213 Search PubMed.
  5. H. Huang, S. Shi, J. Zha, Y. Xia, H. Wang, P. Yang, L. Zheng, S. Xu, W. Wang, Y. Ren, Y. Wang, Y. Chen, H. P. Chan, J. C. Ho, Y. Chai, Z. Wang and C. Tan, Nat. Commun., 2025, 16, 3836 CrossRef CAS PubMed.
  6. C. Y. Wang, S. J. Liang, S. Wang, P. Wang, L. Zhu’an, Z. Wang, A. Gao, C. Pan, C. Liu, J. Liu, H. Yang, X. Liu, W. Song, C. Wang, B. Cheng, X. Wang, K. Chen, Z. Wang, K. Watanabe, T. Taniguchi, J. J. Yang and F. Miao, Sci. Adv., 2020, 6, eaba6173 CrossRef PubMed.
  7. X. Ma, L. Wang, G. Huang, S. Gong, Y. Qi, J. Zhang, R. Zhao, Y. Li, G. Liu, C. Ma, J. Gao and Y. Jiang, Appl. Phys. Lett., 2022, 120, 061107 CrossRef CAS.
  8. H. Henck, D. Mauro, D. Domaretskiy, M. Philippi, S. Memaran, W. Zheng, Z. Lu, D. Shcherbakov, C. N. Lau, D. Smirnov, L. Balicas, K. Watanabe, T. Taniguchi, V. I. Fal’ko, I. Gutiérrez-Lezama, N. Ubrig and A. F. Morpurgo, Nat. Commun., 2022, 13, 3917 CrossRef CAS PubMed.
  9. D. Shen, H. B. Yang, T. Patel, D. A. Rhodes, T. Timusk, Y. N. Zhou, N. Y. Kim and A. W. Tsen, ACS Nano, 2024, 18, 11193–11199 CrossRef CAS PubMed.
  10. L. Britnell, R. V. Gorbachev, R. Jalil, B. D. Belle, F. Schedin, A. Mishchenko, T. Georgiou, M. I. Katsnelson, L. Eaves, S. V. Morozov, N. M. Peres, J. Leist, A. K. Geim, K. S. Novoselov and L. A. Ponomarenko, Science, 2012, 335, 947–950 CrossRef CAS PubMed.
  11. A. K. Geim and I. V. Grigorieva, Nature, 2013, 499, 419–425 CrossRef CAS PubMed.
  12. W. J. Yu, Y. Liu, H. Zhou, A. Yin, Z. Li, Y. Huang and X. Duan, Nat. Nanotechnol., 2013, 8, 952–958 CrossRef CAS PubMed.
  13. K. Zhang, X. Fang, Y. Wang, Y. Wan, Q. Song, W. Zhai, Y. Li, G. Ran, Y. Ye and L. Dai, ACS Appl. Mater. Interfaces, 2017, 9, 5392–5398 Search PubMed.
  14. S. Chanarsa, N. Semakul, J. Jakmunee, P. Iamprasertkun, P. H. Aubert and K. Ounnunkad, J. Energy Storage, 2024, 98, 113083 CrossRef CAS.
  15. T. Georgiou, R. Jalil, B. D. Belle, L. Britnell, R. V. Gorbachev, S. V. Morozov, Y. J. Kim, A. Gholinia, S. J. Haigh, O. Makarovsky, L. Eaves, L. A. Ponomarenko, A. K. Geim, K. S. Novoselov and A. Mishchenko, Nat. Nanotechnol., 2012, 8, 100–103 Search PubMed.
  16. Y. Liu, N. O. Weiss, X. Duan, H. C. Cheng, Y. Huang and X. Duan, Nat. Rev. Mater., 2016, 1, 16042 CrossRef CAS.
  17. A. D. Squires, L. Z. Song, S. Kuriakose, J. Du and T. van der Laan, npj 2D Mater. Appl., 2025, 9, 77 CrossRef CAS.
  18. H. Tian, Z. Tan, C. Wu, X. Wang, M. A. Mohammad, D. Xie, Y. Yang, J. Wang, L. J. Li, J. Xu and T. L. Ren, Sci. Rep., 2014, 4, 5951 CrossRef CAS PubMed.
  19. D. Pierucci, H. Henck, J. Avila, A. Balan, C. H. Naylor, G. Patriarche, Y. J. Dappe, M. G. Silly, F. Sirotti, A. T. Johnson, M. C. Asensio and A. Ouerghi, Nano Lett., 2016, 16, 4054–4061 Search PubMed.
  20. R. I. Romanov, M. G. Kozodaev, Y. Y. Lebedinskii, I. V. Zabrosaev, E. A. Guberna and A. M. Markeev, Phys. Status Solidi A, 2021, 218, 2000744 Search PubMed.
  21. H. Zeng, G. B. Liu, J. Dai, Y. Yan, B. Zhu, R. He, L. Xie, S. Xu, X. Chen, W. Yao and X. Cui, Sci. Rep., 2013, 3, 4908–4916 Search PubMed.
  22. D. Nam, J. U. Lee and H. Cheong, Sci. Rep., 2015, 5, 17113 CrossRef CAS PubMed.
  23. P. Soubelet, A. E. Bruchhausen, A. Fainstein, K. Nogajewski and C. Faugeras, Phys. Rev. B, 2016, 93, 155407 CrossRef.
  24. S. Tongay, J. Zhou, C. Ataca, K. Lo, T. S. Matthews, J. Li, J. C. Grossman and J. Wu, Nano Lett., 2012, 12, 5576–5580 CrossRef CAS PubMed.
  25. Y. Zhang, T. R. Chang, B. Zhou, Y. T. Cui, H. Yan, Z. Liu, F. Schmitt, J. Lee, R. Moore, Y. Chen, H. Lin, H. T. Jeng, S. K. Mo, Z. Hussain, A. Bansil and Z. X. Shen, Nat. Nanotechnol., 2013, 9, 111–115 CrossRef PubMed.
  26. V. Babacic, D. S. Reig, S. Varghese, T. Vasileiadis, E. Coy, K.-J. Tielrooij and B. Graczykowski, Adv. Mater., 2021, 33, 2008614 CrossRef CAS PubMed.
  27. M. Cowie, R. Plougmann, Y. Benkirane, L. Schué, Z. Schumacher and P. Grütter, Nanotechnology, 2021, 33, 125706 CrossRef PubMed.
  28. X. Li, W. Cai, J. An, S. Kim, J. Nah, D. Yang, R. Piner, A. Velamakanni, I. Jung, E. Tutuc, S. K. Banerjee, L. Colombo and R. S. Ruoff, Science, 2009, 324, 1312–1314 CrossRef CAS PubMed.
  29. J. Park, H. K. Park and J. Choi, J. Phys. Chem. C, 2017, 121, 14954–14961 CrossRef CAS.
  30. H. K. Park and J. Choi, ACS Photonics, 2018, 5, 2895–2903 CrossRef CAS.
  31. H. K. Park and J. Choi, J. Mater. Chem. C, 2018, 6, 6958–6965 RSC.
  32. Y. Meng, C. Ling, R. Xin, P. Wang, Y. Song, H. Bu, S. Gao, X. Wang, F. Song, J. Wang, X. Wang, B. Wang and G. Wang, npj Quantum Mater., 2017, 2, 16 CrossRef.
  33. S. Barja, S. Refaely-Abramson, B. Schuler, D. Y. Qiu, A. Pulkin, S. Wickenburg, H. Ryu, M. M. Ugeda, C. Kastl, C. Chen, C. Hwang, A. Schwartzberg, S. Aloni, S. K. Mo, D. F. Ogletree, M. F. Crommie, O. V. Yazyev, S. G. Louie, J. B. Neaton and A. Weber-Bargioni, Nat. Commun., 2019, 10, 3382 CrossRef PubMed.
  34. K. Momma and F. Izumi, J. Appl. Cryst., 2011, 44, 1272–1276 CrossRef CAS.
  35. J. Börner, P. Böttger, C. Kloc, D. R. T. Zahn, P. Tonndorf, O. Gordan, S. M. de Vasconcellos, A. Liebig, M. Albrecht, R. Bratschitsch, X. Zhang and R. Schmidt, Opt. Express, 2013, 21, 4908–4916 CrossRef PubMed.
  36. Y. Zhao, H. Lee, W. Choi, W. Fei and C. J. Lee, RSC Adv., 2017, 7, 27969–27973 RSC.
  37. L. Pan, P. Miao, A. Horneber, A. J. Meixner, P. M. Adam and D. Zhang, Beilstein J. Nanotechnol., 2022, 13, 572–581 CrossRef CAS PubMed.
  38. J. Li, S. Wang, L. Li, Z. Wei, Q. Wang, H. Sun, J. Tian, Y. Guo, J. Liu, H. Yu, N. Li, G. Long, X. Bai, W. Yang, R. Yang, D. Shi and G. Zhang, Small Sci., 2022, 2, 2200062 CrossRef CAS PubMed.
  39. R. Fates, H. Bouridah and J. P. Raskin, Carbon, 2019, 149, 390–399 CrossRef CAS.
  40. H. L. Liu, C. C. Shen, S. H. Su, C. L. Hsu, M. Y. Li and L. J. Li, Appl. Phys. Lett., 2014, 105, 201905 CrossRef.
  41. H. L. Liu, T. Yang, J. H. Chen, H. W. Chen, H. Guo, R. Saito, M. Y. Li and L. J. Li, Sci. Rep., 2020, 10, 15282 CrossRef CAS PubMed.
  42. Y. Sata, R. Moriya, S. Morikawa, N. Yabuki, S. Masubuchi and T. Machida, Appl. Phys. Lett., 2015, 107, 023109 CrossRef.
  43. S. K. Cheung and N. W. Cheung, Appl. Phys. Lett., 1986, 49, 85–87 CrossRef CAS.
  44. T. M. Mohiuddin, A. Lombardo, R. R. Nair, A. Bonetti, G. Savini, R. Jalil, N. Bonini, D. M. Basko, C. Galiotis, N. Marzari, K. S. Novoselov, A. K. Geim and A. C. Ferrari, Phys. Rev. B: Condens. Matter Mater. Phys., 2009, 79, 205433 CrossRef.
  45. J. E. Lee, G. Ahn, J. Shim, Y. S. Lee and S. Ryu, Nat. Commun., 2012, 3, 1024 CrossRef PubMed.
  46. A. C. Ferrari and D. M. Basko, Nat. Nanotechnol., 2013, 8, 235–246 CrossRef CAS PubMed.
  47. B. R. Borodin, F. A. Benimetskiy, M. S. Dunaevskiy, V. A. Sharov, A. N. Smirnov, V. Y. Davydov, E. L. hderanta, S. P. Lebedev, A. A. Lebedev and P. A. Alekseev, Semicond. Sci. Technol., 2019, 34, 125007 CrossRef CAS.
  48. D. N. Ortiz, I. Ramos, N. J. Pinto, M. Q. Zhao, V. Kumar and A. T. Johnson, AIP Adv., 2018, 8, 035014 CrossRef.
  49. S. Refaely-Abramson, D. Y. Qiu, S. G. Louie and J. B. Neaton, Phys. Rev. Lett., 2018, 121, 167402 CrossRef CAS PubMed.

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