Search Results - "Mehonić, Adnan"

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    Silicon Oxide (SiOx): A Promising Material for Resistance Switching? by Mehonic, Adnan, Shluger, Alexander L., Gao, David, Valov, Ilia, Miranda, Enrique, Ielmini, Daniele, Bricalli, Alessandro, Ambrosi, Elia, Li, Can, Yang, J. Joshua, Xia, Qiangfei, Kenyon, Anthony J.

    Published in Advanced materials (Weinheim) (25-10-2018)
    “…Interest in resistance switching is currently growing apace. The promise of novel high‐density, low‐power, high‐speed nonvolatile memory devices is appealing…”
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    Journal Article
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    Memristors—From In‐Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio‐Inspired Computing by Mehonic, Adnan, Sebastian, Abu, Rajendran, Bipin, Simeone, Osvaldo, Vasilaki, Eleni, Kenyon, Anthony J.

    Published in Advanced intelligent systems (01-11-2020)
    “…Machine learning, particularly in the form of deep learning (DL), has driven most of the recent fundamental developments in artificial intelligence (AI). DL is…”
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    Multimodal transistors as ReLU activation functions in physical neural network classifiers by Surekcigil Pesch, Isin, Bestelink, Eva, de Sagazan, Olivier, Mehonic, Adnan, Sporea, Radu A.

    Published in Scientific reports (13-01-2022)
    “…Artificial neural networks (ANNs) providing sophisticated, power-efficient classification are finding their way into thin-film electronics. Thin-film…”
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    Resistive switching in silicon suboxide films by Mehonic, Adnan, Cueff, Sébastien, Wojdak, Maciej, Hudziak, Stephen, Jambois, Olivier, Labbe, Christophe, Garrido, Blas, Rizk, Richard, Kenyon, Anthony J.

    Published in Journal of applied geophysics (01-04-2012)
    “…We report a study of resistive switching in a silicon-based memristor/resistive RAM (RRAM)device in which the active layer is silicon-rich silica. The…”
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    Simulation of Inference Accuracy Using Realistic RRAM Devices by Mehonic, Adnan, Joksas, Dovydas, Ng, Wing H, Buckwell, Mark, Kenyon, Anthony J

    Published in Frontiers in neuroscience (12-06-2019)
    “…Resistive Random Access Memory (RRAM) is a promising technology for power efficient hardware in applications of artificial intelligence (AI) and machine…”
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    Complementary Metal‐Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing by Rahimi Azghadi, Mostafa, Chen, Ying-Chen, Eshraghian, Jason K., Chen, Jia, Lin, Chih-Yang, Amirsoleimani, Amirali, Mehonic, Adnan, Kenyon, Anthony J., Fowler, Burt, Lee, Jack C., Chang, Yao-Feng

    Published in Advanced intelligent systems (01-05-2020)
    “…The ever‐increasing processing power demands of digital computers cannot continue to be fulfilled indefinitely unless there is a paradigm shift in computing…”
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    Nanoscale Transformations in Metastable, Amorphous, Silicon-Rich Silica by Mehonic, Adnan, Buckwell, Mark, Montesi, Luca, Munde, Manveer Singh, Gao, David, Hudziak, Stephen, Chater, Richard J., Fearn, Sarah, McPhail, David, Bosman, Michel, Shluger, Alexander L., Kenyon, Anthony J.

    Published in Advanced materials (Weinheim) (01-09-2016)
    “…Electrically biasing thin films of amorphous, substoichiometric silicon oxide drives surprisingly large structural changes, apparent as density variations,…”
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    Journal Article
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    badcrossbar: A Python tool for computing and plotting currents and voltages in passive crossbar arrays by Joksas, Dovydas, Mehonic, Adnan

    Published in SoftwareX (01-07-2020)
    “…Crossbar arrays are a popular solution when implementing systems that have array-like architecture. With the recent developments in the field of neuromorphic…”
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    Memristive, Spintronic, and 2D‐Materials‐Based Devices to Improve and Complement Computing Hardware by Joksas, Dovydas, AlMutairi, AbdulAziz, Lee, Oscar, Cubukcu, Murat, Lombardo, Antonio, Kurebayashi, Hidekazu, Kenyon, Anthony J., Mehonic, Adnan

    Published in Advanced intelligent systems (01-08-2022)
    “…In a data‐driven economy, virtually all industries benefit from advances in information technology—powerful computing systems are critically important for…”
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    Memristor-Based Edge Detection for Spike Encoded Pixels by Mannion, Daniel J, Mehonic, Adnan, Ng, Wing H, Kenyon, Anthony J

    Published in Frontiers in neuroscience (17-01-2020)
    “…Memristors have many uses in machine learning and neuromorphic hardware. From memory elements in dot product engines to replicating both synapse and neuron…”
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    Nonideality‐Aware Training for Accurate and Robust Low‐Power Memristive Neural Networks by Joksas, Dovydas, Wang, Erwei, Barmpatsalos, Nikolaos, Ng, Wing H., Kenyon, Anthony J., Constantinides, George A., Mehonic, Adnan

    Published in Advanced science (01-06-2022)
    “…Recent years have seen a rapid rise of artificial neural networks being employed in a number of cognitive tasks. The ever‐increasing computing requirements of…”
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    Silica: Nanoscale Transformations in Metastable, Amorphous, Silicon-Rich Silica (Adv. Mater. 34/2016) by Mehonic, Adnan, Buckwell, Mark, Montesi, Luca, Munde, Manveer Singh, Gao, David, Hudziak, Stephen, Chater, Richard J., Fearn, Sarah, McPhail, David, Bosman, Michel, Shluger, Alexander L., Kenyon, Anthony J.

    Published in Advanced materials (Weinheim) (01-09-2016)
    “…Electrically biasing thin films of amorphous, substoichiometric silicon oxide drives surprisingly large structural changes, apparent as density variations,…”
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    Journal Article
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    A nanoscale analysis method to reveal oxygen exchange between environment, oxide, and electrodes in ReRAM devices by Cox, Horatio R. J., Buckwell, Mark, Ng, Wing H., Mannion, Daniel J., Mehonic, Adnan, Shearing, Paul R., Fearn, Sarah, Kenyon, Anthony J.

    Published in APL materials (01-11-2021)
    “…The limited sensitivity of existing analysis techniques at the nanometer scale makes it challenging to systematically examine the complex interactions in…”
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