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Showing 1–8 of 8 results
Advanced filters: Author: Aaryan Oberoi Clear advanced filters

  • Here, the authors take advantage of stochastic resonance in a photodetector based on monolayer MoS2 for measuring otherwise undetectable, ultra-low-intensity, subthreshold optical signals from a distant light emitting diode in the presence of a finite and optimum amount of white Gaussian noise.

    • Akhil Dodda
    • Aaryan Oberoi
    • Saptarshi Das
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-11

  • This study demonstrates how point defects in 2D semiconductors can be harnessed for neuromorphic computing. By using random telegraph noise in WSe2 field-effect transistors, the researchers improve inference accuracy of noise-inflicted medical images.

    • Harikrishnan Ravichandran
    • Theresia Knobloch
    • Saptarshi Das
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-11

  • The implementation of spiking neural network in future neuromorphic hardware requires hardware encoder analogous to the sensory neurons. The authors show a biomimetic dual-gated MoS2 field effect transistor capable of encoding analog signals into stochastic spike trains at energy cost of 1–5 pJ/spike.

    • Shiva Subbulakshmi Radhakrishnan
    • Amritanand Sebastian
    • Saptarshi Das
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-10

  • Designing efficient and low power memristors-based neuromorphic systems remains a challenge. Here, the authors present graphene-based multi-level (>16) and non-volatile memristive synapses with arbitrarily programmable conductance states capable of weight assignment based on k-means clustering.

    • Thomas F. Schranghamer
    • Aaryan Oberoi
    • Saptarshi Das
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-11