Aim & Scope
Multi-disciplinary research in solid-state circuits using exploratory materials and devices for novel energy efficient computation beyond standard CMOS (Complementary Metal Oxide Semiconductor) technology. Focus is on the exploration of materials, devices and computation circuits to enable Moore’s Law to continue for computation beyond a 10 to 15 year horizon (beyond end of the roadmap for CMOS technologies) with the associated density scaling and improvement in energy efficiency. Examples of appropriate topics are research milestones in the integration of materials, devices and computation circuits based upon any of the following: Quantum electronic devices (e.g. tunneling), Spintronics and nanomagnetics, Straintronics (piezo-electric devices), Plasmonics, Functional materials, High fan-in, fan- out logic circuits, Reconfigurable and non-volatile computational circuits, Computational circuits comprehending the on-chip communication means. [1]
2024
MEFET-Based CAM/TCAM for Memory-Augmented Neural Networks
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits , 2024 , p 1.
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Energy-Accuracy Trade-offs for Resistive In-Memory Computing Architectures
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits , 2024 , p 1.
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No authors listed.
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits , 2024 , p 1.
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Source Design of Vertical III-V Nanowire Tunnel Field-Effect Transistors
No authors listed.
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits , 2024 , p 1.
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