Suhas Kumar

Electrical and Electronic Engineering · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Suhas Kumar trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. John Paul Strachan
  2. Eugene M. Izhikevich
  3. R. S. Williams
  4. John J. Hopfield

Who trusts Suhas Kumar overall

  1. R. S. Williams

Papers from Suhas Kumar's perspective

Ordered by how strongly the researchers Suhas Kumar trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Memristor crossbar arrays with 6-nm half-pitch and 2-nm critical dimension (Nature Nanotechnology)
  2. The future of electronics based on memristive systems (Nature Electronics)
  3. ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars
  4. Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting
  5. Chaotic dynamics in nanoscale NbO2 Mott memristors for analogue computing (Nature)
  6. Mixed-precision in-memory computing (Nature Electronics)
  7. ImageNet classification with deep convolutional neural networks
  8. Gradient-based learning applied to document recognition
  9. Training and operation of an integrated neuromorphic network based on metal-oxide memristors (Nature)
  10. A functional hybrid memristor crossbar-array/CMOS system for data storage and neuromorphic applications. (Nano letters (Print))

Their papers