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1. Solution-processed multifunctional graphene and Graphene/MoS2 heterostructure films

   https://doi.org/10.1016/j.carbon.2025.120220  

   Bepete, George; Escobar_Colón, Ámbar E; Ratnayake, Gothamie; Dimitrov, Edgar; Kammarchedu, Vinay; Carreno, Andres Fest; Lei, Yu; Fujisawa, Kazunori; Perea-Lopez, Nestor; Voiry, Damien; et al (May 2025, Carbon)

   W e present a scalable solution-processing method for fabricating high-quality graphene and graphene/1T-MoS 2 heterostructure films. The process begins with the synthesis of potassium-intercalated graphite (KC 8 ), which is exfoliated in tetrahydrofuran (THF) to produce stable dispersions of negatively charged (electron rich) graphene sheets. The graphene is subsequently transferred to water, forming a surfactant-free aqueous dispersion suitable for creating homogenous graphene films via vacuum filtration and stamping. Additionally, graphene is combined with 1T-MoS 2 nanosheets to fabricate graphene/1T-MoS 2 bulk heterostructure films. Comprehensive characterization, including X-ray diffraction (XRD), absorption spectroscopy, scanning electron microscopy (SEM), transmission electron microscopy ( TEM), Raman spectroscopy, and X-ray photon emission spectroscopy (XPS), reveals that the heterostructure films exhibit enhanced optical and electronic properties, including improved light absorption, which could lead to novel photo-responsive devices. Raman spectroscopy shows significant changes in the graphene’s structural a nd electronic properties upon interaction with MoS 2 , indicating strong interlayer coupling and potential charge transfer between the layered components. The g raphene films demonstrate highly sensitive detection of dopamine (DA), while the graphene/1T-MoS 2 b ulk heterostructure films exhibit capacitance values up to 3 8.3 Fg − 1 at 5 mV/s in non-aqueous electrolytes. These results highlight the potential of these films for advanced applications in molecular sensing and energy storage. 

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2. First-principles calculations integrated with experimental optical and electronic properties for MoS2-graphene heterostructures and MoS2-graphene-Au heterointerfaces

   https://doi.org/10.1016/j.apsusc.2023.156948  

   Gupta, Sanju; Pimenidou, Panagiota; Garcia, Miguel; Das, Shivanshi; Dimakis, Nicholas (June 2023, Applied Surface Science)
3. Graphene/MoS2/SiOx memristive synapses for linear weight update

   https://doi.org/10.1038/s41699-023-00388-y  

   Krishnaprasad, Adithi; Dev, Durjoy; Shawkat, Mashiyat Sumaiya; Martinez-Martinez, Ricardo; Islam, Molla Manjurul; Chung, Hee-Suk; Bae, Tae-Sung; Jung, Yeonwoong; Roy, Tania (December 2023, npj 2D Materials and Applications)

   Abstract Memristors for neuromorphic computing have gained prominence over the years for implementing synapses and neurons due to their nano-scale footprint and reduced complexity. Several demonstrations show two-dimensional (2D) materials as a promising platform for the realization of transparent, flexible, ultra-thin memristive synapses. However, unsupervised learning in a spiking neural network (SNN) facilitated by linearity and symmetry in synaptic weight update has not been explored thoroughly using the 2D materials platform. Here, we demonstrate that graphene/MoS₂/SiO_x/Ni synapses exhibit ideal linearity and symmetry when subjected to identical input pulses, which is essential for their role in online training of neural networks. The linearity in weight update holds for a range of pulse width, amplitude and number of applied pulses. Our work illustrates that the mechanism of switching in MoS₂-based synapses is through conductive filaments governed by Poole-Frenkel emission. We demonstrate that the graphene/MoS₂/SiO_x/Ni synapses, when integrated with a MoS₂-based leaky integrate-and-fire neuron, can control the spiking of the neuron efficiently. This work establishes 2D MoS₂as a viable platform for all-memristive SNNs. 

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4. Adhesion Energies of 2D Graphene and MoS2 to Silicon and Metal Substrates

   Jorge Torres, Yisi Zhu (January 2018, Physica status solidi)
5. MoS2-graphene heterostructures as efficient organic compounds sensing 2D materials

   https://doi.org/10.1016/j.carbon.2018.10.079  

   Pham, Tung; Ramnani, Pankaj; Villarreal, Claudia C.; Lopez, Jhoann; Das, Protik; Lee, Ilkeun; Neupane, Mahesh R.; Rheem, Youngwoo; Mulchandani, Ashok (February 2019, Carbon)