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Showing 1–7 of 7 results
Advanced filters: Author: Amritanand Sebastian Clear advanced filters

  • Here, the authors perform a benchmark study of field-effect transistors (FETs) based on 2D transition metal dichalcogenides, i.e., 230 MoS2 and 160 WS2 FETs, and track device-to-device variations to gauge the technological viability in future integrated circuits.

    • Amritanand Sebastian
    • Rahul Pendurthi
    • Saptarshi Das
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-12

  • Designing efficient Bayesian neural networks remains a challenge. Here, the authors use the cycle variation in the programming of the 2D memtransistors to achieve Gaussian random number generator-based synapses, and combine it with the complementary 2D memtransistors-based tanh function to implement a Bayesian neural network.

    • Amritanand Sebastian
    • Rahul Pendurthi
    • Saptarshi Das
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-10

  • 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

  • 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

  • Designing large-scale hardware implementation of Probabilistic Neural Network for energy efficient neuromorphic computing systems remains a challenge. Here, the authors propose an hardware design based on MoS2/BP heterostructures as reconfigurable Gaussian synapses enabling EEG patterns recognition.

    • Amritanand Sebastian
    • Andrew Pannone
    • Saptarshi Das
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-11

  • This Review examines the development of field-effect transistors based on two-dimensional materials and considers the challenges that need to be addressed for the devices to be incorporated into very large-scale integration (VLSI) technology.

    • Saptarshi Das
    • Amritanand Sebastian
    • Rajendra Singh
    Reviews
    Nature Electronics
    Volume: 4, P: 786-799