Search Results - "Burr, G W"

Diabolo Nanoantenna for Enhancing and Confining the Magnetic Optical Field by Grosjean, T, Mivelle, M, Baida, F. I, Burr, G. W, Fischer, U. C

“…In this Letter, we introduce a new nanoantenna concept aimed at generating a single magnetic hot spot in the optical frequency range, thus confining and…”
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Fully On-Chip MAC at 14 nm Enabled by Accurate Row-Wise Programming of PCM-Based Weights and Parallel Vector-Transport in Duration-Format by Narayanan, P., Ambrogio, S., Okazaki, A., Hosokawa, K., Tsai, H., Nomura, A., Yasuda, T., Mackin, C., Lewis, S. C., Friz, A., Ishii, M., Kohda, Y., Mori, H., Spoon, K., Khaddam-Aljameh, R., Saulnier, N., Bergendahl, M., Demarest, J., Brew, K. W., Chan, V., Choi, S., Ok, I., Ahsan, I., Lie, F. L., Haensch, W., Narayanan, V., Burr, G. W.

“…Hardware acceleration of deep learning using analog non-volatile memory (NVM) requires large arrays with high device yield, high accuracy Multiply-ACcumulate…”
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Full vectorial imaging of electromagnetic light at subwavelength scale by Grosjean, T, Ibrahim, I A, Suarez, M A, Burr, G W, Mivelle, M, Charraut, D

“…We propose a concept of near-field imaging for the complete experimental description of the structure of light in three dimensions around nanodevices. It is…”
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Highly-scalable novel access device based on Mixed Ionic Electronic conduction (MIEC) materials for high density phase change memory (PCM) arrays by Gopalakrishnan, K, Shenoy, R S, Rettner, C T, Virwani, K, Bethune, D S, Shelby, R M, Burr, G W, Kellock, A, King, R S, Nguyen, K, Bowers, A N, Jurich, M, Jackson, B, Friz, A M, Topuria, T, Rice, P M, Kurdi, B N

“…Phase change memory (PCM) could potentially achieve high density with large, 3Dstacked crosspoint arrays, but not without a BEOL-friendly access device (AD)…”
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Superfocussing in a metal-coated tetrahedral tip by dimensional reduction of surface-to edge-plasmon modes by Tanaka, K., Burr, G. W., Grosjean, T., Maletzky, T., Fischer, U. C.

“…Metal-coated dielectric tetrahedral tips (T-tip) have long been considered to be interesting structures for the confinement of light to nanoscopic dimensions,…”
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An analog-AI chip for energy-efficient speech recognition and transcription by Ambrogio, S., Narayanan, P., Okazaki, A., Fasoli, A., Mackin, C., Hosokawa, K., Nomura, A., Yasuda, T., Chen, A., Friz, A., Ishii, M., Luquin, J., Kohda, Y., Saulnier, N., Brew, K., Choi, S., Ok, I., Philip, T., Chan, V., Silvestre, C., Ahsan, I., Narayanan, V., Tsai, H., Burr, G. W.

“…Models of artificial intelligence (AI) that have billions of parameters can achieve high accuracy across a range of tasks 1 , 2 , but they exacerbate the poor…”
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The superprism effect in lithium niobate photonic crystals for ultra-fast, ultra-compact electro-optical switching by Amet, J., Baida, F.I., Burr, G.W., Bernal, M.-P.

“…We numerically analyze ultra-refraction and slow-light in lithium niobate photonic crystals in order to investigate and then optimize the efficiency of a…”
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Yield Methodology and Heater Process Variation in Phase Change Memory (PCM) Technology for Analog Computing by Chan, Victor, Gasasira, A., Pujari, R., Tseng, W-T, Gordon, T., Southwick, R., Ok, I., Choi, S., Silvestre, C., Utomo, H., Brew, K., Philip, T., Burr, G. W., Saulnier, N., Teehan, S., Ahsan, I.

“…We discuss inline electrical testing to monitor the baseline of Analog Computing hardware using Phase Change Memory (PCM) technology. Tightening the PCM…”
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The impact of finite-depth cylindrical and conical holes in lithium niobate photonic crystals by Burr, G W, Diziain, S, Bernal, M-P

“…The performance of lithium niobate (LN) photonic crystals (PhCs) is theoretically analyzed with transmission spectra and band diagrams as calculated by the 3-D…”
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Optical horn antennas for efficiently transferring photons from a quantum emitter to a single-mode optical fiber by Grosjean, T, Mivelle, M, Burr, G W, Baida, F I

“…We theoretically demonstrate highly efficient optical coupling between a single quantum emitter and a monomode optical fiber over remarkably broad spectral…”
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Bowtie nano-aperture as interface between near-fields and a single-mode fiber by Mivelle, M, Ibrahim, I A, Baida, F, Burr, G W, Nedeljkovic, D, Charraut, D, Rauch, J-Y, Salut, R, Grosjean, T

“…We present the development and study of a single bowtie nano-aperture (BNA) at the end of a monomode optical fiber as an interface between…”
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Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation by Bruce, R.L., Sarwat, S. Ghazi, Boybat, I., Cheng, C.-W., Kim, W., Nandakumar, S.R., Mackin, C., Philip, T., Liu, Z., Brew, K., Gong, N., Ok, I., Adusumilli, P., Spoon, K., Ambrogio, S., Kersting, B., Bohnstingl, T., Gallo, M. Le, Simon, A., Li, N., Saraf, I., Han, J.-P., Gignac, L., Papalia, J.M., Yamashita, T., Saulnier, N., Burr, G. W., Tsai, H., Sebastian, A., Narayanan, V., BrightSky, M.

“…Phase change memory (PCM) is rapidly emerging as a promising candidate for building non-von Neumann accelerators for deep neural networks (DNN) based on…”
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Near-field probing of slow Bloch modes on photonic crystals with a nanoantenna by Vo, T-P, Mivelle, M, Callard, S, Rahmani, A, Baida, F, Charraut, D, Belarouci, A, Nedeljkovic, D, Seassal, C, Burr, G W, Grosjean, T

“…We study the near-field probing of the slow Bloch laser mode of a photonic crystal by a bowtie nano-aperture (BNA) positioned at the end of a metal-coated…”
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NVM neuromorphic core with 64k-cell (256-by-256) phase change memory synaptic array with on-chip neuron circuits for continuous in-situ learning by Kim, S., Ishii, M., Lewis, S., Perri, T., BrightSky, M., Kim, W., Jordan, R., Burr, G. W., Sosa, N., Ray, A., Han, J.-P, Miller, C., Hosokawa, K., Lam, C.

“…We demonstrate a neuromorphic core with 64k-cell phase change memory (PCM) synaptic array (256 axons by 256 dendrites) with in-situ learning capability. 256…”
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Theoretical study of lithium niobate slab waveguides for integrated optics applications by Burr, G.W., Diziain, S., Bernal, M.-P.

“…We report on the theoretical study of lithium niobate slab and wire waveguides with different kinds of cladding (silicon dioxide, sapphire and air). The mode…”
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Large-scale (512kbit) integration of multilayer-ready access-devices based on mixed-ionic-electronic-conduction (MIEC) at 100% yield by Burr, G. W., Virwani, K., Shenoy, R. S., Padilla, A., BrightSky, M., Joseph, E. A., Lofaro, M., Kellock, A. J., King, R. S., Nguyen, K., Bowers, A. N., Jurich, M., Rettner, C. T., Jackson, B., Bethune, D. S., Shelby, R. M., Topuria, T., Arellano, N., Rice, P. M., Kurdi, B. N., Gopalakrishnan, K.

“…BEOL-friendly Access Devices (AD) based on Cu-containing MIEC materials [1-4] are integrated in large (512 × 1024) arrays at 100% yield, and are successfully…”
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Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: Comparative performance analysis (accuracy, speed, and power) by Burr, G. W., Narayanan, P., Shelby, R. M., Sidler, S., Boybat, I., di Nolfo, C., Leblebici, Y.

“…We review our work towards achieving competitive performance (classification accuracies) for on-chip machine learning (ML) of large-scale artificial neural…”
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Reducing the Impact of Phase-Change Memory Conductance Drift on the Inference of large-scale Hardware Neural Networks by Ambrogio, S., Kumar, A., Chen, A., Burr, G. W., Gallot, M., Spoon, K., Tsai, H., Mackin, C., Wesson, M., Kariyappa, S., Narayanan, P., Liu, C.-C.

“…We extensively analyze the impact of conductance "drift" - inherent to Phase Change Memory (PCM) devices - on the inference of pre-trained Deep Neural Networks…”
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Holographic data storage by Psaltis, D., Burr, G.W.

“…Research into and the development of data storage devices is a race to keep up with the continuing demand for more capacity, more density, and faster readout…”
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Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited) by Burr, G. W., Tsai, H., Simon, W., Boybat, I., Ambrogio, S., Ho, C.-E., Liou, Z.-W., Rasch, M., Buchel, J., Narayanan, P., Gordon, T., Jain, S., Levin, T. M., Hosokawa, K., Le Gallo, M., Smith, H., Ishii, M., Kohda, Y., Chen, A., Mackin, C., Fasoli, A., ElMaghraoui, K., Muralidhar, R., Okazaki, A., Chen, C. -T., Frank, M. M., Lammie, C., Vasilopoulos, A., Friz, A. M., Luquin, J., Teehan, S., Ahsan, I., Sebastian, A., Narayanan, V.

“…Analog Non-Volatile Memory-based accelerators offer high-throughput and energy-efficient Multiply-Accumulate operations for the large Fully-Connected layers…”
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