Zobrazeno 1 - 10
of 8 763
pro vyhledávání: '"ROBINSON, P. M."'
Autor:
Vidamour, Ian T, Venkat, Guru, Swindells, Charles, Griffin, David, Fry, Paul W, Rowan-Robinson, Richard M, Welbourne, Alexander, Maccherozzi, Francesco, Dhesi, Sarnjeet S, Stepney, Susan, Allwood, Dan A, Hayward, Thomas J
We describe 'RingSim', a phenomenological agent-based model that allows numerical simulation of magnetic nanowire networks with areas of hundreds of micrometers squared for durations of hundreds of seconds; a practical impossibility for general-purpo
Externí odkaz:
http://arxiv.org/abs/2410.22204
Autor:
Ma, C. Y., Yu, J., Legero, T., Herbers, S., Nicolodi, D., Kempkes, M., Riehle, F., Kedar, D., Robinson, J. M., Ye, J., Sterr, U.
We have investigated crystalline AlGaAs/GaAs optical coatings with three ultra-stable cavities operating at 4 K, 16 K, 124 K and 297 K. The response of the resonance frequencies of cavities to variations in optical power indicates effects beyond the
Externí odkaz:
http://arxiv.org/abs/2404.02647
Autor:
Eckner, William J., Oppong, Nelson Darkwah, Cao, Alec, Young, Aaron W., Milner, William R., Robinson, John M., Ye, Jun, Kaufman, Adam M.
Publikováno v:
Nature 621, 734 (2023)
Neutral-atom arrays trapped in optical potentials are a powerful platform for studying quantum physics, combining precise single-particle control and detection with a range of tunable entangling interactions. For example, these capabilities have been
Externí odkaz:
http://arxiv.org/abs/2303.08078
Autor:
Robinson, John M, Miklos, Maya, Tso, Yee Ming, Kennedy, Colin J., Bothwell, Tobias, Kedar, Dhruv, Thompson, James K., Ye, Jun
Building scalable quantum systems that demonstrate genuine performance enhancement based on entanglement is a major scientific goal for fields including computing, networking, simulations, and metrology. The tremendous challenge arises from the fragi
Externí odkaz:
http://arxiv.org/abs/2211.08621
Autor:
Lin, Sherry, Gillis, Winthrop F., Weinreb, Caleb, Zeine, Ayman, Jones, Samuel C., Robinson, Emma M., Markowitz, Jeffrey, Datta, Sandeep Robert
Spontaneous mouse behavior is composed from repeatedly-used modules of movement (e.g., rearing, running, grooming) that are flexibly placed into sequences whose content evolves over time. By identifying behavioral modules and the order in which they
Externí odkaz:
http://arxiv.org/abs/2211.08497
Autor:
Kedar, Dhruv, Yu, Jialiang, Oelker, Eric, Staron, Alexander, Milner, William R., Robinson, John M., Legero, Thomas, Riehle, Fritz, Sterr, Uwe, Ye, Jun
State-of-the-art optical oscillators employing cryogenic reference cavities are limited in performance by the Brownian thermal noise associated with the mechanical dissipation of the mirror coatings. Recently, crystalline Al$_{1-x}$Ga$_{x}$As/GaAs co
Externí odkaz:
http://arxiv.org/abs/2210.14881
Autor:
Yu, Jialiang, Kedar, Dhruv, Häfner, Sebastian, Legero, Thomas, Riehle, Fritz, Herbers, Sofia, Nicolodi, Daniele, Ma, Chun Yu, Robinson, John M., Oelker, Eric, Ye, Jun, Sterr, Uwe
Thermodynamically induced length fluctuations of high-reflectivity mirror coatings put a fundamental limit on sensitivity and stability of precision optical interferometers like gravitational wave detectors and ultra-stable lasers. The main contribut
Externí odkaz:
http://arxiv.org/abs/2210.15671
Autor:
Gigante, Scott, Raghavan, Varsha G., Robinson, Amanda M., Barton, Robert A., Rahman, Adeeb H., Wulsin, Drausin F., Banchereau, Jacques, Solomon, Noam, Voloch, Luis F., Theis, Fabian J.
Translating the relevance of preclinical models ($\textit{in vitro}$, animal models, or organoids) to their relevance in humans presents an important challenge during drug development. The rising abundance of single-cell genomic data from human tumor
Externí odkaz:
http://arxiv.org/abs/2205.07110
Autor:
Antypas, D., Banerjee, A., Bartram, C., Baryakhtar, M., Betz, J., Bollinger, J. J., Boutan, C., Bowring, D., Budker, D., Carney, D., Carosi, G., Chaudhuri, S., Cheong, S., Chou, A., Chowdhury, M. D., Co, R. T., López-Urrutia, J. R. Crespo, Demarteau, M., DePorzio, N., Derbin, A. V., Deshpande, T., Di Luzio, L., Diaz-Morcillo, A., Doyle, J. M., Drlica-Wagner, A., Droster, A., Du, N., Döbrich, B., Eby, J., Essig, R., Farren, G. S., Figueroa, N. L., Fry, J. T., Gardner, S., Geraci, A. A., Ghalsasi, A., Ghosh, S., Giannotti, M., Gimeno, B., Griffin, S. M., Grin, D., Grote, H., Gundlach, J. H., Guzzetti, M., Hanneke, D., Harnik, R., Henning, R., Irsic, V., Jackson, H., Kimball, D. F. Jackson, Jaeckel, J., Kagan, M., Kedar, D., Khatiwada, R., Knirck, S., Kolkowitz, S., Kovachy, T., Kuenstner, S. E., Lasner, Z., Leder, A. F., Lehnert, R., Leibrandt, D. R., Lentz, E., Lewis, S. M., Liu, Z., Manley, J., Maruyama, R. H., Millar, A. J., Muratova, V. N., Musoke, N., Nagaitsev, S., Noroozian, O., O'Hare, C. A. J., Ouellet, J. L., Pappas, K. M. W., Peik, E., Perez, G., Phipps, A., Rapidis, N. M., Robinson, J. M., Robles, V. H., Rogers, K. K., Rudolph, J., Rybka, G., Safdari, M., Safronova, M. S., Salemi, C. P., Schmidt, P. O., Schumm, T., Schwartzman, A., Shu, J., Simanovskaia, M., Singh, J., Singh, S., Smith, M. S., Snow, W. M., Stadnik, Y. V., Sun, C., Sushkov, A. O., Tait, T. M. P., Takhistov, V., Tanner, D. B., Temples, D. J., Thirolf, P. G., Thomas, J. H., Tobar, M. E., Tretiak, O., Tsai, Y. -D., Tyson, J. A., Vandegar, M., Vermeulen, S., Visinelli, L., Vitagliano, E., Wang, Z., Wilson, D. J., Winslow, L., Withington, S., Wooten, M., Yang, J., Ye, J., Young, B. A., Yu, F., Zaheer, M. H., Zelevinsky, T., Zhao, Y., Zhou, K.
The last decade has seen unprecedented effort in dark matter model building at all mass scales coupled with the design of numerous new detection strategies. Transformative advances in quantum technologies have led to a plethora of new high-precision
Externí odkaz:
http://arxiv.org/abs/2203.14915
PATO: Producibility-Aware Topology Optimization using Deep Learning for Metal Additive Manufacturing
Autor:
Iyer, Naresh S., Mirzendehdel, Amir M., Raghavan, Sathyanarayanan, Jiao, Yang, Ulu, Erva, Behandish, Morad, Nelaturi, Saigopal, Robinson, Dean M.
In this paper, we propose PATO-a producibility-aware topology optimization (TO) framework to help efficiently explore the design space of components fabricated using metal additive manufacturing (AM), while ensuring manufacturability with respect to
Externí odkaz:
http://arxiv.org/abs/2112.04552