Zobrazeno 1 - 10
of 1 546
pro vyhledávání: '"P. Lattuada"'
Autor:
Rodrigues, M. R. D., Bonasera, A., Scisciò, M., Pérez-Hernández, J. A., Ehret, M., Filippi, F., Andreoli, P. L., Huault, M., Larreur, H., Singappuli, D., Molloy, D., Raffestin, D., Alonzo, M., Rapisarda, G. G., Lattuada, D., Guardo, G. L., Verona, C., Consoli, Fe., Petringa, G., McNamee, A., La Cognata, M., Palmerini, S., Carriere, T., Cipriani, M., Di Giorgio, G., Cristofari, G., De Angelis, R., Cirrone, G. A. P., Margarone, D., Giuffrida, L., Batani, D., Nicolai, P., Batani, K., Lera, R., Volpe, L., Giulietti, D., Agarwal, S., Krupka, M., Singh, S., Consoli, Fa.
Laser technologies improved after the understanding of the Chirped Pulse Amplification (CPA) which allows energetic laser beams to be compressed to tens of femtosecond (fs) pulse durations and focused to few $\mu$m. Protons of tens of MeV can be acce
Externí odkaz:
http://arxiv.org/abs/2312.09145
Autor:
Mattich, I., Sendra, J., Galinski, H., Isapour, G., Demirörs, A. F., Lattuada, M., Schuerle, S., Studart, A. R.
Publikováno v:
Adv. Optical Mater. 2023, 11, 2300734
Magnetically assembled superparamagnetic colloids have been exploited as fluid mixers, swimmers and delivery systems in several microscale applications. The encapsulation of such colloids in droplets may open new opportunities to build magnetically c
Externí odkaz:
http://arxiv.org/abs/2303.15336
Autor:
Lattuada, Andrea, Hance, Travis, Cho, Chanhee, Brun, Matthias, Subasinghe, Isitha, Zhou, Yi, Howell, Jon, Parno, Bryan, Hawblitzel, Chris
The Rust programming language provides a powerful type system that checks linearity and borrowing, allowing code to safely manipulate memory without garbage collection and making Rust ideal for developing low-level, high-assurance systems. For such s
Externí odkaz:
http://arxiv.org/abs/2303.05491
Autor:
ATHENA Collaboration, Adam, J., Adamczyk, L., Agrawal, N., Aidala, C., Akers, W., Alekseev, M., Allen, M. M., Ameli, F., Angerami, A., Antonioli, P., Apadula, N. J., Aprahamian, A., Armstrong, W., Arratia, M., Arrington, J. R., Asaturyan, A., Aschenauer, E. C., Augsten, K., Aune, S., Bailey, K., Baldanza, C., Bansal, M., Barbosa, F., Barion, L., Barish, K., Battaglieri, M., Bazilevsky, A., Behera, N. K., Berdnikov, V., Bernauer, J., Berriaud, C., Bhasin, A., Bhattacharya, D. S., Bielcik, J., Bielcikova, J., Bissolotti, C., Boeglin, W., Bondì, M., Borri, M., Bossu, F., Bouyjou, F., Brandenburg, J. D., Bressan, A., Brooks, M., Bueltmann, S. L., Byer, D., Caines, H., Sanchez, M. Calderon de la Barca, Calvelli, V., Camsonne, A., Cappelli, L., Capua, M., Castro, M., Cavazza, D., Cebra, D., Celentano, A., Chakaberia, I., Chan, B., Chang, W., Chartier, M., Chatterjee, C., Chen, D., Chen, J., Chen, K., Chen, Z., Chetri, H., Chiarusi, T., Chiosso, M., Chu, X., Chwastowski, J. J., Cicala, G., Cisbani, E., Cline, E., Cloet, I., Colella, D., Contalbrigo, M., Contin, G., Corliss, R., Corrales-Morales, Y., Crafts, J., Crawford, C., Cruz-Torres, R., D'Ago, D., D'Angelo, A., D'Hose, N., Dainton, J., Torre, S. Dalla, Dasgupta, S. S., Dash, S., Dashyan, N., Datta, J., Daugherity, M., De Vita, R., Deconinck, W., Defurne, M., Dehmelt, K., Del Dotto, A., Delcarro, F., Dellacasa, G., Demiroglu, Z. S., Deptuch, G. W., Desai, V., Deshpande, A., Devereaux, K., Dhillon, R., Di Salvo, R., Dilks, C., Dixit, D., Dobbs, S., Dong, X., Drachenberg, J., Drees, A., Dupre, R., Durham, M., Dzhygadlo, R., Fassi, L. El, Elia, D., Epple, E., Esha, R., Evdokimov, O., Eyser, O., Falchieri, D., Fan, W., Fantini, A., Fatemi, R., Fazio, S., Fegan, S., Filippi, A., Fox, H., Francisco, A., Freeze, A., Furletov, S., Furletova, Y., Gal, C., Gardner, S., Garg, P., Gaskell, D., Gates, K., Gericke, M. T. W., Geurts, F., Ghosh, C., Giacalone, M., Giacomini, F., Gilchrist, S., Glazier, D., Gnanvo, K., Gonella, L., Greiner, L. C., Guerrini, N., Guo, L., Gupta, A., Gupta, R., Guryn, W., He, X., Hemmick, T., Heppelmann, S., Higinbotham, D., Hoballah, M., Hoghmrtsyan, A., Hohlmann, M., Horn, T., Hornidge, D., Huang, H. Z., Hyde, C. E., Iapozzuto, P., Idzik, M., Jacak, B. V., Jadhav, M., Jain, S., Jena, C., Jentsch, A., Ji, Y., Ji, Z., Jia, J., Jones, P. G., Jones, R. W. I., Joosten, S., Joshi, S., Kabir, L., Kalicy, G., Karyan, G., Kashyap, V. K. S., Kawall, D., Ke, H., Kelsey, M., Kim, J., Kiryluk, J., Kiselev, A., Klein, S. R., Klest, H., Kochar, V., Korsch, W., Kosarzewski, L., Kotzinian, A., Krizek, F., Kumar, A., Kumar, K. S., Kumar, L., Kumar, R., Kumar, S., Kunnath, A., Kushawaha, N., Lacey, R., Lai, Y. S., Lalwani, K., Landgraf, J., Lanza, L., Lattuada, D., Lavinsky, M., Lee, J. H., Lee, S. H., Lemmon, R., Lestone, A., Lewis, N., Li, H., Li, S., Li, W., Li, X., Liang, X., Ligonzo, T., Lin, T., Liu, J., Liu, K., Liu, M., Livingston, K., Liyanage, N., Ljubicic, T., Long, O., Lukow, N., Ma, Y., Mammei, J., Mammoliti, F., Mamo, K., Mandjavidze, I., Maple, S., Marchand, D., Margotti, A., Markert, C., Markowitz, P., Marshall, T., Martin, A., Marukyan, H., Mastroserio, A., Mathew, S., Mayilyan, S., Mayri, C., McEneaney, M., Mei, Y., Meng, L., Meot, F., Metcalfe, J., Meziani, Z. -E., Mihir, P., Milton, R., Mirabella, A., Mirazita, M., Mkrtchyan, A., Mkrtchyan, H., Mohanty, B., Mondal, M., Morreale, A., Movsisyan, A., Muenstermann, D., Mukherjee, A., Camacho, C. Munoz, Murray, M. J., Mustafa, H., Myska, M., Nachman, B. P., Nagai, K., Naik, R., Naim, J. P., Nam, J., Nandi, B., Nappi, E., Nasim, Md., Neff, D., Neiret, D., Newman, P. R., Nguyen, M., Niccolai, S., Nie, M., Noferini, F., Norman, J., Noto, F., Nunes, A. S., O'Connor, T., Odyniec, G., Okorokov, V. A., Osipenko, M., Page, B., Palatchi, C., Palmer, D., Palni, P., Pandey, S., Panzieri, D., Park, S., Paschke, K., Pastore, C., Patra, R. N., Paul, A., Paul, S., Pecar, C., Peck, A., Pegg, I., Pellegrino, C., Peng, C., Pentchev, L., Perrino, R., Piotrzkowski, K., Polakovic, T., Ploskon, M., Posik, M., Prasad, S., Preghenella, R., Priens, S., Prifti, E., Przybycien, M., Pujahari, P., Quintero, A., Radici, M., Radhakrishnan, S. K., Rahman, S., Rathi, S., Raue, B., Reed, R., Reimer, P., Reinhold, J., Renner, E., Rignanese, L., Ripani, M., Rizzo, A., Romanov, D., Roy, A., Rubini, N., Ruspa, M., Ruan, L., Sabatie, F., Sadhukhan, S., Sahoo, N., Sahu, P., Samuel, D., Sarkar, A., Sarsour, M., Schmidke, W., Schmookler, B., Schwarz, C., Schwiening, J., Scott, M., Sedgwick, I., Segreti, M., Sekula, S., Seto, R., Shah, N., Shahinyan, A., Sharma, D., Sharma, N., Sichtermann, E. P., Signori, A., Singh, A., Singh, B. K., Singh, S. N., Smirnov, N., Sokhan, D., Soltz, R., Sondheim, W., Spinali, S., Stacchi, F., Staszewski, R., Stepanov, P., Strazzi, S., Stroe, I. R., Sun, X., Surrow, B., Sweger, Z., Symons, T. J., Tadevosyan, V., Tang, A., Tassi, E., Teodorescu, L., Tessarotto, F., Thomas, D., Thomas, J. H., Toll, T., Tomasek, L., Torales-Acosta, F., Tribedy, P., Triloki, Tripathi, V., Trotta, R., Trzebiński, M., Trzeciak, B. A., Tsai, O., Tu, Z., Turrisi, R., Tuve, C., Ullrich, T., Urciuoli, G. M., Valentini, A., Vallarino, S., Vandenbroucke, M., Vanek, J., Vino, G., Volpe, G., Voskanyan, H., Vossen, A., Voutier, E., Wang, G., Wang, Y., Watts, D., Wickramaarachchi, N., Wilson, F., Wong, C. -P., Wu, X., Wu, Y., Xie, J., Xu, Q. -H., Xu, Z., Xu, Z. W., Yang, C., Yang, Q., Yang, Y., Ye, Z., Yi, L., Yin, Z., Yurov, M., Zachariou, N., Zhang, J., Zhang, Y., Zhang, Z., Zhao, Y., Zhao, Y. X., Zhao, Z., Zheng, L., Zurek, M.
Publikováno v:
JINST 17 (2022) 10, P10019
ATHENA has been designed as a general purpose detector capable of delivering the full scientific scope of the Electron-Ion Collider. Careful technology choices provide fine tracking and momentum resolution, high performance electromagnetic and hadron
Externí odkaz:
http://arxiv.org/abs/2210.09048
Autor:
Lattuada, Andrea, McSherry, Frank
Distributed data processing systems have advanced through models that expose more and more opportunities for concurrency within a computation. The scheduling of these increasingly sophisticated models has become the bottleneck for improved throughput
Externí odkaz:
http://arxiv.org/abs/2210.06113
Autor:
Lan, H. Y., Luo, W., Xu, Y., Balabanski, D. L., Guardo, G. L., La Cognata, M., Lattuada, D., Matei, C., Pizzone, R. G., Rauscher, T., Zhou, J. L.
Publikováno v:
Phys. Rev. C 105, 044618, Published 27 April 2022
In the environment of a hot plasma, as achieved in stellar explosions, capture and photodisintegration reactions proceeding on excited states in the nucleus can considerably contribute to the astrophysical reaction rate. Such reaction rates including
Externí odkaz:
http://arxiv.org/abs/2205.09599
Autor:
L. Tancredi, F. Martinelli Boneschi, M. Braga, I. Santilli, C. Scaccabarozzi, P. Lattuada, M. Sessa, L. Fumagalli, S. Iurlaro, I. Neromante, M. L. De Lodovici, D. V. Roccatagliata, G. Giacalone, M. Arnaboldi, V. Crespi, E. Agostoni, G. C. Comi, C. Ferrarese, R. Sterzi
Publikováno v:
Stroke Research and Treatment, Vol 2013 (2013)
The aims of this study were (i) to evaluate the clinical features of a consecutive series of young patients with ischemic stroke and (ii) to assess the changes in the clinical management of these patients over the study period. All consecutive cases
Externí odkaz:
https://doaj.org/article/6df73bb01c7d4828ba252e225c8b3249
Autor:
Maros, Alexandre, Murai, Fabricio, da Silva, Ana Paula Couto, Almeida, Jussara M., Lattuada, Marco, Gianniti, Eugenio, Hosseini, Marjan, Ardagna, Danilo
Big data applications and analytics are employed in many sectors for a variety of goals: improving customers satisfaction, predicting market behavior or improving processes in public health. These applications consist of complex software stacks that
Externí odkaz:
http://arxiv.org/abs/2108.12214
Autor:
Filippini, Federica, Ardagna, Danilo, Lattuada, Marco, Amaldi, Edoardo, Ciavotta, Michele, Riedl, Maciek, Materka, Katarzyna, Skrzypek, Paweł, Magugliani, Fabrizio, Cicala, Marco
Artificial Intelligence (AI) and Deep Learning (DL) algorithms are currently applied to a wide range of products and solutions. DL training jobs are highly resource demanding and they experience great benefits when exploiting AI accelerators (e.g., G
Externí odkaz:
http://arxiv.org/abs/2105.05080
Taking advantage of the base-pairing specificity and tunability of DNA interactions, we investigate the spontaneous formation of hyperbranched clusters starting from purposely designed DNA tetravalent nanostar monomers, encoding in their four sticky-
Externí odkaz:
http://arxiv.org/abs/2011.07854