System-level Impact of Non-Ideal Program-Time of Charge Trap Flash (CTF) on Deep Neural Network

Autor: Shrivastava, S., Biswas, A., Chakrabarty, S., Dash, G., Saraswat, V., Ganguly, U.

Learning of deep neural networks (DNN) using Resistive Processing Unit (RPU) architecture is energy-efficient as it utilizes dedicated neuromorphic hardware and stochastic computation of weight updates for in-memory computing. Charge Trap Flash (CTF)

Externí odkaz: http://arxiv.org/abs/2402.09792

Axion Dark Matter

Autor: Adams, C. B., Aggarwal, N., Agrawal, A., Balafendiev, R., Bartram, C., Baryakhtar, M., Bekker, H., Belov, P., Berggren, K. K., Berlin, A., Boutan, C., Bowring, D., Budker, D., Caldwell, A., Carenza, P., Carosi, G., Cervantes, R., Chakrabarty, S. S., Chaudhuri, S., Chen, T. Y., Cheong, S., Chou, A., Co, R. T., Conrad, J., Croon, D., D'Agnolo, R. T., Demarteau, M., DePorzio, N., Descalle, M., Desch, K., Di Luzio, L., Diaz-Morcillo, A., Dona, K., Drachnev, I. S., Droster, A., Du, N., Dunne, K., Döbrich, B., Ellis, S. A. R., Essig, R., Fan, J., Foster, J. W., Fry, J. T., Rosso, A. Gallo, Barceló, J. M. García, Irastorza, I. G., Gardner, S., Geraci, A. A., Ghosh, S., Giaccone, B., Giannotti, M., Gimeno, B., Grin, D., Grote, H., Guzzetti, M., Awida, M. H., Henning, R., Hoof, S., Hoshino, G., Irsic, V., Irwin, K. D., Jackson, H., Kimball, D. F. Jackson, Jaeckel, J., Jakovcic, K., Jewell, M. J., Kagan, M., Kahn, Y., Khatiwada, R., Knirck, S., Kovachy, T., Krueger, P., Kuenstner, S. E., Kurinsky, N. A., Leane, R. K., Leder, A. F., Lee, C., Lehnert, K. W., Lentz, E. W., Lewis, S. M., Liu, J., Lynn, M., Majorovits, B., Marsh, D. J. E., Maruyama, R. H., McAllister, B. T., Millar, A. J., Miller, D. W., Mitchell, J., Morampudi, S., Mueller, G., Nagaitsev, S., Nardi, E., Noroozian, O., O'Hare, C. A. J., Oblath, N. S., Ouellet, J. L., Pappas, K. M. W., Peiris, H. V., Perez, K., Phipps, A., Pivovaroff, M. J., Quílez, P., Rapidis, N. M., Robles, V. H., Rogers, K. K., Rudolph, J., Ruz, J., Rybka, G., Safdari, M., Safdi, B. R., Safronova, M. S., Salemi, C. P., Schuster, P., Schwartzman, A., Shu, J., Simanovskaia, M., Singh, J., Singh, S., Sinha, K., Sinnis, J. T., Siodlaczek, M., Smith, M. S., Snow, W. M., Sokolov, A. V., Sonnenschein, A., Speller, D. H., Stadnik, Y. V., Sun, C., Sushkov, A. O., Tait, T. M. P., Takhistov, V., Tanner, D. B., Tavecchio, F., Temples, D. J., Thomas, J. H., Tobar, M. E., Toro, N., Tsai, Y. -D., van Assendelft, E. C., van Bibber, K., Vandegar, M., Visinelli, L., Vitagliano, E., Vogel, J. K., Wang, Z., Wickenbrock, A., Winslow, L., Withington, S., Wooten, M., Yang, J., Young, B. A., Yu, F., Zhou, K., Zhou, T.

Axions are well-motivated dark matter candidates with simple cosmological production mechanisms. They were originally introduced to solve the strong CP problem, but also arise in a wide range of extensions to the Standard Model. This Snowmass white p

Externí odkaz: http://arxiv.org/abs/2203.14923

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Heterogeneous nucleation in citrate synthesis of AgNPs: Effect of mixing and solvation dynamics

Autor: Deshpande, J.B., Chakrabarty, S., Kulkarni, A.A.

Publikováno v: In Chemical Engineering Journal 1 October 2021 421 Part 2

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