Onen M - Search Results

1

Recent Advances and Future Prospects for Memristive Materials, Devices, and Systems.

Song MK, Kang JH, Zhang X, Ji W, Ascoli A, Messaris I, Demirkol AS, Dong B, Aggarwal S, Wan W, Hong SM, Cardwell SG, Boybat I, Seo JS, Lee JS, Lanza M, Yeon H, Onen M, Li J, Yildiz B, Del Alamo JA, Kim S, Choi S, Milano G, Ricciardi C, Alff L, Chai Y, Wang Z, Bhaskaran H, Hersam MC, Strukov D, Wong HP, Valov I, Gao B, Wu H, Tetzlaff R, Sebastian A, Lu W, Chua L, Yang JJ, Kim J. Song MK, et al. Among authors: onen m. ACS Nano. 2023 Jul 11;17(13):11994-12039. doi: 10.1021/acsnano.3c03505. Epub 2023 Jun 29. ACS Nano. 2023. PMID: 37382380 Review.

2

CMOS-Compatible Protonic Programmable Resistor Based on Phosphosilicate Glass Electrolyte for Analog Deep Learning.

Onen M, Emond N, Li J, Yildiz B, Del Alamo JA. Onen M, et al. Nano Lett. 2021 Jul 28;21(14):6111-6116. doi: 10.1021/acs.nanolett.1c01614. Epub 2021 Jul 7. Nano Lett. 2021. PMID: 34231360

3

Electrochemical Ionic Synapses: Progress and Perspectives.

Huang M, Schwacke M, Onen M, Del Alamo J, Li J, Yildiz B. Huang M, et al. Among authors: onen m. Adv Mater. 2023 Sep;35(37):e2205169. doi: 10.1002/adma.202205169. Epub 2023 Mar 30. Adv Mater. 2023. PMID: 36300807 Review.

4

Protonic solid-state electrochemical synapse for physical neural networks.

Yao X, Klyukin K, Lu W, Onen M, Ryu S, Kim D, Emond N, Waluyo I, Hunt A, Del Alamo JA, Li J, Yildiz B. Yao X, et al. Among authors: onen m. Nat Commun. 2020 Jun 19;11(1):3134. doi: 10.1038/s41467-020-16866-6. Nat Commun. 2020. PMID: 32561717 Free PMC article.

5

Neural Network Training With Asymmetric Crosspoint Elements.

Onen M, Gokmen T, Todorov TK, Nowicki T, Del Alamo JA, Rozen J, Haensch W, Kim S. Onen M, et al. Front Artif Intell. 2022 May 9;5:891624. doi: 10.3389/frai.2022.891624. eCollection 2022. Front Artif Intell. 2022. PMID: 35615470 Free PMC article.

6

Nanosecond protonic programmable resistors for analog deep learning.

Onen M, Emond N, Wang B, Zhang D, Ross FM, Li J, Yildiz B, Del Alamo JA. Onen M, et al. Science. 2022 Jul 29;377(6605):539-543. doi: 10.1126/science.abp8064. Epub 2022 Jul 28. Science. 2022. PMID: 35901152

7

Single-Photon Single-Flux Coupled Detectors.

Onen M, Turchetti M, Butters BA, Bionta MR, Keathley PD, Berggren KK. Onen M, et al. Nano Lett. 2020 Jan 8;20(1):664-668. doi: 10.1021/acs.nanolett.9b04440. Epub 2019 Dec 20. Nano Lett. 2020. PMID: 31851520

8

Design and characterization of superconducting nanowire-based processors for acceleration of deep neural network training.

Onen M, Butters BA, Toomey E, Gokmen T, Berggren KK. Onen M, et al. Nanotechnology. 2020 Jan 10;31(2):025204. doi: 10.1088/1361-6528/ab47bc. Epub 2019 Sep 25. Nanotechnology. 2020. PMID: 31553955

9

Bridging the Gap Between Nanowires and Josephson Junctions: A Superconducting Device Based on Controlled Fluxon Transfer.

Toomey E, Onen M, Colangelo M, Butters BA, McCaughan AN, Berggren KK. Toomey E, et al. Among authors: onen m. Phys Rev Appl. 2019;11(3):10.1103/physrevapplied.11.034006. doi: 10.1103/physrevapplied.11.034006. Phys Rev Appl. 2019. PMID: 32166099 Free PMC article.

10

Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices.

Gokmen T, Onen M, Haensch W. Gokmen T, et al. Among authors: onen m. Front Neurosci. 2017 Oct 10;11:538. doi: 10.3389/fnins.2017.00538. eCollection 2017. Front Neurosci. 2017. PMID: 29066942 Free PMC article.

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