Zobrazeno 1 - 10
of 46 860
pro vyhledávání: '"Woods, P. A."'
Autor:
Wang, Wei, Yu, Zhanghao, Zou, Yiwei, Woods, Joshua E, Chari, Prahalad, Su, Yumin, Robinson, Jacob T, Yang, Kaiyuan
Publikováno v:
IEEE Journal of Solid-State Circuits, Volume: 59, Issue: 11, Page(s): 3599 - 3611, November 2024
Miniature bioelectronic implants promise revolutionary therapies for cardiovascular and neurological disorders. Wireless power transfer (WPT) is a significant method for miniaturization, eliminating the need for bulky batteries in devices. Despite su
Externí odkaz:
http://arxiv.org/abs/2411.12869
Autor:
Lee, Chang-Gi, Chae, Byeong-Gyu, Ro, I-Jun, Jang, Kyuseon, Woods, Eric, Ahn, Jaemin, Park, Seong Yong, Gault, Baptiste, Kim, Se-Ho
Atom probe tomography (APT) enables near atomic scale three dimensional elemental mapping through the controlled field evaporation of surface atoms triggered by the combined application of a DC voltage and either voltage or laser pulses. As the selec
Externí odkaz:
http://arxiv.org/abs/2411.10506
This paper describes the R package fdesigns that implements a methodology for identifying Bayesian optimal experimental designs for models whose factor settings are functions, known as profile factors. This type of experiments which involve factors t
Externí odkaz:
http://arxiv.org/abs/2411.09225
Background: Transitioning from hospital to home presents significant challenges, particularly for patients aged 75 and above. The 'Your Care Needs You' (YCNY) intervention, evaluated through a cluster randomised controlled trial (cRCT), aims to empow
Externí odkaz:
http://arxiv.org/abs/2411.04339
Autor:
Alam, Sadaf R., Woods, Christopher, Williams, Matt, Moore, Dave, Prior, Isaac, Williams, Ethan, Yang-Turner, Fan, Pryor, Matt, Livenson, Ilja
Scientific workflows have become highly heterogenous, leveraging distributed facilities such as High Performance Computing (HPC), Artificial Intelligence (AI), Machine Learning (ML), scientific instruments (data-driven pipelines) and edge computing.
Externí odkaz:
http://arxiv.org/abs/2410.18411
Isambard-AI is a new, leadership-class supercomputer, designed to support AI-related research. Based on the HPE Cray EX4000 system, and housed in a new, energy efficient Modular Data Centre in Bristol, UK, Isambard-AI employs 5,448 NVIDIA Grace-Hoppe
Externí odkaz:
http://arxiv.org/abs/2410.11199
Autor:
Taghinejad, Hossein, Taghinejad, Mohammad, Abdollahramezani, Sajjad, Li, Qitong, Woods, Eric V., Tian, Mengkun, Eftekhar, Ali A., Lyu, Yuanqi, Zhang, Xiang, Ajayan, Pulickel M., Cai, Wenshan, Brongersma, Mark L., Analytis, James G., Adibi, Ali
Achieving deterministic control over the properties of low-dimensional materials with nanoscale precision is a long-sought goal. Mastering this capability has a transformative impact on the design of multifunctional electrical and optical devices. He
Externí odkaz:
http://arxiv.org/abs/2410.06181
Autor:
Alcayne, V., Kimura, A., Mendoza, E., Cano-Ott, D., Aberle, O., Álvarez-Velarde, F., Amaducci, S., Andrzejewski, J., Audouin, L., Bécares, V., Babiano-Suarez, V., Bacak, M., Barbagallo, M., Bečvář, F., Bellia, G., Berthoumieux, E., Billowes, J., Bosnar, D., Brown, A., Busso, M., Caamaño, M., Caballero-Ontanaya, L., Calviño, F., Calviani, M., Casanovas, A., Cerutti, F., Chen, Y. H., Chiaveri, E., Colonna, N., Cortés, G., Cortés-Giraldo, M. A., Cosentino, L., Cristallo, S., Damone, L. A., Diakaki, M., Dietz, M., Domingo-Pardo, C., Dressler, R., Dupont, E., Durán, I., Eleme, Z., Fernández-Domınguez, B., Ferrari, A., Finocchiaro, P., Furman, V., Göbel, K., Garg, R., Gawlik-Ramiega, A., Gilardoni, S., Glodariu, T., Gonçalves, I. F., González-Romero, E., Guerrero, C., Gunsing, F., Harada, H., Heinitz, S., Heyse, J., Jenkins, D. G., Jericha, E., Käppeler, F., Kadi, Y., Kivel, N., Kokkoris, M., Kopatch, Y., Krtička, M., Kurtulgil, D., Ladarescu, I., Lederer-Woods, C., Leeb, H., Lerendegui-Marco, J., Meo, S. Lo, Lonsdale, S. J., Macina, D., Manna, A., Martınez, T., Masi, A., Massimi, C., Mastinu, P., Mastromarco, M., Matteucci, F., Maugeri, E. A., Mazzone, A., Mengoni, A., Michalopoulou, V., Milazzo, P. M., Mingrone, F., Musumarra, A., Negret, A., Nolte, R., Ogállar, F., Oprea, A., Patronis, N., Pavlik, A., de Rada, A. Pérez, Perkowski, J., Persanti, L., Porras, I., Praena, J., Quesada, J. M., Radeck, D., Ramos-Doval, D., Rauscher, T., Reifarth, R., Rochman, D., Romanets, Y., Rubbia, C., Sabaté-Gilarte, M., Saxena, A., Schillebeeckx, P., Schumann, D., Smith, A. G., Sosnin, N. V., Stamatopoulos, A., Tagliente, G., Tain, J. L., Talip, T., Tarifeño-Saldivia, A., Tassan-Got, L., Torres-Sánchez, P., Tsinganis, A., Ulrich, J., Urlass, S., Valenta, S., Vannini, G., Variale, V., Vaz, P., Ventura, A., Vlachoudis, V., Vlastou, R., Wallner, A., Woods, P. J., Wright, T., Žugec, P.
The $^{246}$Cm(n,$\gamma$) and $^{248}$Cm(n,$\gamma$) cross-sections have been measured at the Experimental Area 2 (EAR2) of the n_TOF facility at CERN with three C$_6$D$_6$ detectors. This measurement is part of a collective effort to improve the ca
Externí odkaz:
http://arxiv.org/abs/2407.06377
State of the art reinforcement learning methods sometimes encounter unsafe situations. Identifying when these situations occur is of interest both for post-hoc analysis and during deployment, where it might be advantageous to call out to a human over
Externí odkaz:
http://arxiv.org/abs/2409.18289
Autor:
Musedinovic, R., Blokland, L. S., Cude-Woods, C. B., Singh, M., Blatnik, M. A., Callahan, N., Choi, J. H., Clayton, S., Filippone, B. W., Fox, W. R., Fries, E., Geltenbort, P., Gonzalez, F. M., Hayen, L., Hickerson, K. P., Holley, A. T., Ito, T. M., Komives, A., Lin, S, Liu, Chen-Yu, Makela, M. F., O'Shaughnessy, C. M., Pattie Jr, R. W., Ramsey, J. C., Salvat, D. J., Saunders, A., Seestrom, S. J., Sharapov, E. I., Tang, Z., Uhrich, F. W., Vanderwerp, J., Walstrom, P., Wang, Z., Young, A. R., Morris, C. L.
Here we publish three years of data for the UCNtau experiment performed at the Los Alamos Ultra Cold Neutron Facility at the Los Alamos Neutron Science Center. These data are in addition to our previously published data. Our goals in this paper are t
Externí odkaz:
http://arxiv.org/abs/2409.05560