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Atomistic-Level Hysteresis-Aware Graphene Structures Electron Transport Model.

, , , and . ISCAS, page 1-5. IEEE, (2019)

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A direct measurement scheme of amalgamated aging effects with novel on-chip sensor., , and . VLSI-SoC, page 246-251. IEEE, (2013)On Carving Basic Boolean Functions on Graphene Nanoribbons Conduction Maps., , and . ISCAS, page 1-5. IEEE, (2018)Low cost and energy, thermal noise driven, probability modulated random number generator., and . ISCAS, page 2724-2727. IEEE, (2015)Fast and accurate workload-level neural network based IC energy consumption estimation., and . SMACD, page 1-4. IEEE, (2017)Atomistic-Level Hysteresis-Aware Graphene Structures Electron Transport Model., , , and . ISCAS, page 1-5. IEEE, (2019)Haar-based interconnect coding for energy effective medium/long range data transport., and . SoCC, page 375-380. IEEE, (2017)Error Correction Code protected Data Processing Units., , , and . NANOARCH, page 37-42. ACM, (2016)Graphene Nanoribbon-based Synapses with Versatile Plasticity., , , and . NANOARCH, page 1-6. IEEE, (2019)Ultra-Compact, Entirely Graphene-Based Nonlinear Leaky Integrate-and-Fire Spiking Neuron., , , and . ISCAS, page 1-5. IEEE, (2020)Would Magnonic Circuits Outperform CMOS Counterparts?, , , , , , and . ACM Great Lakes Symposium on VLSI, page 309-313. ACM, (2022)