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Murat Onen

Showing results (1-10 of 10) with videos related to

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Frontiers in Neuroscience|October 26, 2017
Training Deep Convolutional Neural Networks with Resistive Cross-Point DevicesTayfun Gokmen, Murat Onen, Wilfried Haensch
Nano Letters|July 7, 2021
CMOS-Compatible Protonic Programmable Resistor Based on Phosphosilicate Glass Electrolyte for Analog Deep LearningMurat Onen, Nicolas Emond, Ju Li, et al.
Nanotechnology|September 26, 2019
Design and characterization of superconducting nanowire-based processors for acceleration of deep neural network trainingMurat Onen, Brenden A Butters, Emily Toomey, et al.
Advanced Materials (Deerfield Beach, Fla.)|October 27, 2022
Electrochemical Ionic Synapses: Progress and PerspectivesMantao Huang, Miranda Schwacke, Murat Onen, et al.
Nano Letters|December 19, 2019
Single-Photon Single-Flux Coupled DetectorsMurat Onen, Marco Turchetti, Brenden A Butters, et al.
Science (New York, N.Y.)|July 28, 2022
Nanosecond protonic programmable resistors for analog deep learningMurat Onen, Nicolas Emond, Baoming Wang, et al.
Frontiers in Artificial Intelligence|May 26, 2022
Neural Network Training With Asymmetric Crosspoint ElementsMurat Onen, Tayfun Gokmen, Teodor K Todorov, et al.
Nature Communications|June 21, 2020
Protonic solid-state electrochemical synapse for physical neural networksXiahui Yao, Konstantin Klyukin, Wenjie Lu, et al.
Nature Communications|September 16, 2022
Self-heating hotspots in superconducting nanowires cooled by phonon black-body radiationAndrew Dane, Jason Allmaras, Di Zhu, et al.
ACS Nano|June 29, 2023
Recent Advances and Future Prospects for Memristive Materials, Devices, and SystemsMin-Kyu Song, Ji-Hoon Kang, Xinyuan Zhang, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Frontiers in Neuroscience|October 26, 2017
Training Deep Convolutional Neural Networks with Resistive Cross-Point DevicesTayfun Gokmen, Murat Onen, Wilfried Haensch
Nano Letters|July 7, 2021
CMOS-Compatible Protonic Programmable Resistor Based on Phosphosilicate Glass Electrolyte for Analog Deep LearningMurat Onen, Nicolas Emond, Ju Li, et al.
Nanotechnology|September 26, 2019
Design and characterization of superconducting nanowire-based processors for acceleration of deep neural network trainingMurat Onen, Brenden A Butters, Emily Toomey, et al.
Advanced Materials (Deerfield Beach, Fla.)|October 27, 2022
Electrochemical Ionic Synapses: Progress and PerspectivesMantao Huang, Miranda Schwacke, Murat Onen, et al.
Nano Letters|December 19, 2019
Single-Photon Single-Flux Coupled DetectorsMurat Onen, Marco Turchetti, Brenden A Butters, et al.
Science (New York, N.Y.)|July 28, 2022
Nanosecond protonic programmable resistors for analog deep learningMurat Onen, Nicolas Emond, Baoming Wang, et al.
Frontiers in Artificial Intelligence|May 26, 2022
Neural Network Training With Asymmetric Crosspoint ElementsMurat Onen, Tayfun Gokmen, Teodor K Todorov, et al.
Nature Communications|June 21, 2020
Protonic solid-state electrochemical synapse for physical neural networksXiahui Yao, Konstantin Klyukin, Wenjie Lu, et al.
Nature Communications|September 16, 2022
Self-heating hotspots in superconducting nanowires cooled by phonon black-body radiationAndrew Dane, Jason Allmaras, Di Zhu, et al.
ACS Nano|June 29, 2023
Recent Advances and Future Prospects for Memristive Materials, Devices, and SystemsMin-Kyu Song, Ji-Hoon Kang, Xinyuan Zhang, et al.
Pageof 1