Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"Crossbar Array"”.
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CHARACTERIZATION OF SNEAK PATH CURRENT EFFECT IN A PEDOT: PSS-BASED ReRAM CROSSBAR ARRAY
… characterization of resistive switching memory crossbar devices fabricated on glass substrates with a structure of Cu/PEDOT: PSS/Ag, with a particular focus on understanding the impact of sneak-path currents on the switching performances. Resistive memory cells, particularly in crossbar …
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Design and analysis of memristor-based reliable crossbar architectures
… the sneak-paths current which limits the maximum crossbar array size. This thesis presents various designs of the memristor based crossbar architecture and corresponding experimental analysis towards addressing its reliability issues. Novel contribution of this thesis starts with the formulation …
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Integrated Photonic Iterative Processors for Computing
… The first 2×2 and 4×4 partially integrated crossbar array-based PIPs for real-valued matrix inversions are demonstrated experimentally. The 4×4 partially integrated crossbar array-based PIP is also used to solve integral and differential equations involving 8×8 and 16×16 matrix inversions by …
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Memristor-based AI Hardware for Reliable and Reconfigurable Neuromorphic Computing
… uniform to train a neural network in memristor arrays. Because of the high mobility of metal ions in the Si switching medium, an electrochemical metallization (ECM) memory has shown a high analogue switching capacity. However, switching unpredictability is caused by the extreme stochasticity of …
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Superparamagnetic Tunnel Junctions for Reliable True Randomness and Efficient Probabilistic Machine Learning
… analog-to-digital converters (sADCs) in a crossbar array architecture for neural network acceleration, showing performance comparable to software implementations. This work highlights the potential of sMTJs to revolutionize energy-efficient computing and provides a foundation for future …
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Analog On-chip Training and Inference with Non-volatile Memory Devices
… devices. These devices are structured into crossbar arrays. To explore the potential of non-volatile memory devices in AIMC, investigations involve simulating crossbar array operations using IBM’s AIHWKIT. With this tool, I investigate the implementation of various analog computing …
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Additive Manufacturing Organic Neuromorphic Devices and Neural Networks
… process. The neural network is in the form of a crossbar array with global electrolyte gating. The fabricated devices show transistor and neuromorphic neural network characteristics, illustrating the feasibility and opportunity that digital manufacturing offers in the field of OECT technology.
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Design, Analysis and Testing of Efficient Memristive Neural Networks
… various single and multi-layer memristive crossbar neural architectures are implemented and tested in SPICE. Experimental results show that this learning method performed e ciently while implementing memristor-based neural networks in ex-situ. The results also demonstrated that the …
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DESIGN AND TEST OF DIGITAL CIRCUITS AND SYSTEMS USING CMOS AND EMERGING RESISTIVE DEVICES
… Chapter 5 introduces an enhanced memristive crossbar array (MCA) based analog neural network architecture to improve reliability due to the aging effect. A built-in current-based calibration circuit is introduced to restore the total synaptic current. The calibration circuit is a current …
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Memristor-based hardware accelerators: from device modeling to AI applications
L'abstract è presente nell'allegato / the abstract is in the attachment