High‑Performance Thermal Interface Materials via Co‑Modification of Epoxy Resin with Reduced Graphene Oxide Nanosheets and 3‑D Graphene Networks
Abstract
With the rapid miniaturization of microelectronic devices, efficient heat dissipation has become a critical bottleneck. Graphene‑assisted epoxy resin (ER) systems have shown promise for enhancing thermal performance, yet limitations of reduced graphene oxide (RGO) nanosheets and three‑dimensional graphene networks (3DGNs) still restrict further progress. In this study, we co‑modify ER with both RGO nanosheets and 3DGNs to exploit their complementary advantages: 3DGNs provide a continuous phonon transport network, while RGO nanosheets improve interfacial coupling between graphene and the ER matrix. By optimizing the proportion of each filler and the reduction degree of RGO, we achieve a synergistic enhancement in thermal conductivity, mechanical robustness, and thermal stability, demonstrating the potential of this composite for practical TIM applications.
Background
Thermal interface materials (TIMs) reinforced with graphene have attracted growing interest due to their exceptional thermal and mechanical properties. Kim et al. reported a 1400 % increase in thermal conductivity relative to pristine ER, and Joen’s group achieved ~2 W m⁻¹ K⁻¹ with 10 wt % graphene filler. However, these values fall far short of graphene’s intrinsic conductivity (~5000 W m⁻¹ K⁻¹). The main obstacles are the discontinuous network of RGO sheets and the high interfacial thermal resistance caused by numerous graphene–matrix interfaces and defect‑induced phonon scattering. High‑quality 3DGNs fabricated by chemical vapor deposition offer a continuous, low‑defect network, but their lack of surface functional groups limits wettability with the ER matrix. Introducing a controlled amount of surface defects in 3DGNs improves interfacial bonding, yet the CVD process is complex. Co‑functionalizing 3DGNs with RGO nanosheets presents a promising strategy to combine continuous phonon pathways with enhanced interfacial coupling.
Methods
Materials
Nickel foam (300 gm⁻², 12 mm thick) was used as a template for 3DGNs fabrication. Ethanol, HCl, FeCl₃, and poly(methyl methacrylate) (PMMA, Mₙ≈996 000, 4 % in ethyl lactate) were sourced from Beijing Chemical Reagent Plant. Ethyl lactate, natural graphite, PMMA, and acetone were obtained from Aladdin Co., Ltd. Polytetrafluoroethylene (PTFE) and sodium dodecyl benzene sulfonate were purchased from Huangjiang Co., Ltd. Epoxy resin (ER) and its curing agent were provided by Sanmu Co., Ltd. Deionized water (resistivity 18 MΩ cm) was used for all aqueous preparations.
Preparation
RGO nanosheets and 3DGNs were prepared following our previously reported protocols [12–14] (see Supplementary materials). The RGO–3DGNs–ER composite was fabricated via a two‑step procedure. First, RGO nanosheets and 3DGNs were dispersed in 50 mL deionized water, sonicated for 30 min, and then treated with 1 mg sodium dodecyl benzene sulfonate. The mixture underwent hydrothermal reaction at 80 °C for 6 h in a Teflon vessel, after which it was washed thrice with deionized water. This process anchors RGO nanosheets onto the 3DGNs surface. Second, the RGO–3DGNs composite was blended with ER and curing agent in a mold: a layer of ER was poured onto the solid surface, followed by another layer of RGO–3DGNs, and the sequence was repeated three to four times to ensure capillary infiltration of ER into the porous network. The final mixture was cured at 110 °C for 3 h.
Characterization
SEM (FEI Sirion 200, 5 kV) and TEM (JEM‑2100F, 20 kV) revealed the morphology of the composites. AFM (Nanoscope IIIa and E‑Sweep) was employed in tapping mode to assess surface topography. Raman spectra (LabRam‑1B, 532 nm) quantified defect density, while XPS (RBD PHI‑5000C) confirmed elemental composition. FTIR (IR Prestige‑21) identified functional groups. Mechanical properties were measured using a Triton DMTA (frequency 1 Hz, heating rate 5 °C min⁻¹) on 2 × 4 cm specimens. Thermal conductivity was determined by laser flash analysis, and differential scanning calorimetry provided heat capacity data.
Results and Discussion
Figure 1 shows AFM and SEM images of RGO nanosheets (average lateral size 400–600 nm), 3DGNs (continuous porous network), RGO–3DGNs, and the final RGO–3DGNs–ER composite. The composite surface appears smooth with minimal porosity, indicating good infiltration of ER.
Morphologies of the RGO nanosheets, 3DGNs, and resulting TIMs. AFM and SEM images of the prepared RGO nanosheets, 3DGNs, RGO‑3DGNs, and RGO‑3DGNs‑ER are shown in Fig. 1. The average size of the RGO nanosheets is 400–600 nm (a), which is elaborately designed to combine with the 3DGNs by adjusting the oxidation and reduction procedures. A continuous 3D construction of the 3DGNs can be seen from (b), and its porous structure is clearly shown. As for the resulting TIM, the smooth surface of the RGO‑ER can be seen from (c), and the absence of tiny pores (compared with that of the pristine ER, inset of (c) indicates a potential high thermal performance. (d) The morphology of the RGO‑3DGNs‑ER, which is similar with that of the RGO‑ER. The 3D structure of the 3DGNs is difficult to identify in the SEM image because the 3D interspaces are filled by the ER. However, the 3D phonon transport network (the function of the 3DGNs) still maintains in the TIMs, which has been proven by our previous reports. The RGO nanosheets in the RGO‑3DGNs‑ER should be loaded on the surface of the 3DGNs because of the hydrothermal reaction, which is the pre‑condition to exert the function (enhance the wettability between the graphene basal plane and matrix) of the RGO nanosheets.
Raman analysis (Fig. 2a) shows prominent G, 2D, and D peaks for RGO, while the D peak is negligible for 3DGNs, indicating low defect density. The I_G/I_D ratio yields an average RGO lateral size of ~500 nm, consistent with AFM data. FTIR spectra (Fig. 2b) reveal a distinct 1335 cm⁻¹ peak (O=C–OH) only in RGO, which disappears after ER integration, confirming covalent bonding at the interface and reduced thermal boundary resistance.
Raman and FTIR curves of the various samples. Raman curves of the adopted RGO nanosheets and 3DGNs are shown in (a). Three major signals, G, 2D, and D peaks, can be seen for the former, while the D peak is difficult to find in the corresponding pattern of the 3DGNs. ...
Figure 3 displays the thermal conductivities of the composites. The pristine ER exhibits ~0.2 W m⁻¹ K⁻¹, far below practical requirements. As filler loading increases, conductivity rises almost linearly. Co‑modified RGO–3DGNs–ER samples outperform single‑filler systems at identical mass fractions, confirming synergistic effects. The superior performance originates from the continuous 3DGNs network and improved interfacial bonding via RGO functional groups. Balandin’s model (Eq. 2) links conductivity to thermal boundary resistance (δ); calculations reveal similar δ for RGO–ER and RGO–3DGNs–ER, indicating RGO resides on 3DGNs surfaces, whereas δ for 3DGNs–ER is higher due to poor wettability.
Calculated thermal boundary resistance of the various samples. Thermal boundary resistance (δ) is an important parameter to determine the resulting thermal performances of TIMs. ...
High‑temperature stability tests (Fig. 5a) show all composites exhibit reduced conductivity with increasing temperature due to enhanced Umklapp scattering. However, RGO‑added samples maintain better stability because of more sensitive Kapitza scattering. Long‑term cycling (240 h) reveals <10 % degradation in all composites, confirming robust thermal performance.
High‑temperature stability and cycling. ...
Mechanical testing (additional data in Table S1) demonstrates that both 3DGNs–ER and RGO–3DGNs–ER maintain high ultimate strength and elongation, attributed to the continuous 3DGNs scaffold and negligible disruption from surface‑bound RGO.
Conclusions
We have successfully fabricated RGO–3DGNs–ER TIMs that leverage the continuous phonon network of 3DGNs and the interfacial bonding of RGO nanosheets. When 9 wt % 3DGNs and 1 wt % RGO are incorporated, the composite reaches ~4.6 W m⁻¹ K⁻¹—10 % and 36 % higher than 10 wt % 3DGNs or 10 wt % RGO alone—while preserving excellent mechanical properties and thermal stability (≤25 % conductivity loss at 100 °C). These results underscore the promise of co‑modified graphene composites for high‑performance TIMs in advanced electronic applications.
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