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Meeting Materials Science & Technology 2020
Symposium Advances in Synthesis and Integration Methods for Enhanced Properties, and Applications in Emerging Nanomaterials
Presentation Title Efficient Neuromorphic Computing Enabled by Spin-Transfer Torque: Devices, Circuits and Systems
Author(s) Abhronil Sengupta
On-Site Speaker (Planned) Abhronil Sengupta
Abstract Scope While research in designing brain-inspired algorithms have attained a stage where such Artificial Intelligence platforms are being able to outperform humans at several cognitive tasks, an often-unnoticed cost is the huge computational expenses required for running these algorithms in hardware. Bridging the computational efficiency gap necessitates the exploration of devices, circuits and architectures that provide a better match to the computational primitives of biological processing. Recent experiments in spintronic technologies are revealing immense possibilities of implementing a plethora of neural and synaptic functionalities by single spintronic device structures that can be operated at very low terminal voltages. Leveraging insights from such experiments, I will present a multi-disciplinary perspective across the entire stack of devices, circuits and systems to envision the design of an "All-Spin" neuromorphic processor enabled with on-chip learning functionalities that can potentially achieve two to three orders of magnitude energy improvement in comparison to state-of-the-art CMOS implementations.
Proceedings Inclusion? Undecided

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Critical Elastic Interactions that Govern Effective Mechanical Behavior of Defective hBN and Graphene
Development of High-performance Ion Selective Membranes for Redox Flow Batteries
Efficient Neuromorphic Computing Enabled by Spin-Transfer Torque: Devices, Circuits and Systems
Electrochemical 2D Synapses for Neuromorphic Computing Applications
Ideal Graphene Schottky Junctions: The Building Block for Reconfigurable Logic and 3D Monolithic Integration
Impact of Processing Parameters on Metal Oxide Resistive Random Access Memory (RRAM) Performance and Implications for non-von Neumann Computing Approaches
Influence of Surface Charge on the Photochemical Reactivity of SrTiO3, BaTiO3, and TiO2/BaTiO3 Heterostructured Catalysts
Integration of Synthesis and Computation to Investigate Two-dimensional Transition Metal Chalcogenides: Strain, Defect, and Moiré Engineering
Introduction to Research Capabilities at Center for Functional Nanomaterials, a DOE National User Facility
Investigating the Micro-structure and Transport Mechanisms in Graphene Copper Composites
Iontronic Devices for Energy Efficient Electronics and Neuromorphic Computing
Laser Processing of Soft Magnetic Amorphous and Nanocrystalline Alloys
Low-reflectivity Carbon Nanotube Coatings for Space Applications
Mixed-Dimensional Hetero-structures for Advanced Logic and Memory Devices
Multi-functional Surfaces
Nanoscale Oxide Layers for Halide Perovskite Solar Cells
Polymer Additives for Stable Hybrid Perovskite Solar Cells
Van der Waals and Remote Epitaxy for Quantum Materials Research

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