Zobrazeno 1 - 10
of 310 102
pro vyhledávání: '"Malcolm, A"'
Autor:
Chen, Malcolm Hoong Wai, Rowley, Peter
Here, for $W$ the Coxeter group $\mathrm{D}_n$ where $n > 4$, it is proved that the maximal rank of an abstract regular polytope for $W$ is $n - 1$ if $n$ is even and $n$ if $n$ is odd. Further it is shown that $W$ has abstract regular polytopes of r
Externí odkaz:
http://arxiv.org/abs/2501.01288
Autor:
Perry, Malcolm, Rodriguez, Maria J.
We perform a detailed study of the gravitational tidal Love numbers of extremal zero-temperature Kerr black holes. These coefficients are finite and exhibit the dissipative nature of these maximally spinning black holes. Upon considering the dynamica
Externí odkaz:
http://arxiv.org/abs/2412.19699
Autor:
Chapin, Edward L., Dunn, Jennifer, Kerley, Dan, Mueller, Lianne, Smith, Malcolm, Stocks, Jonathan
The Herzberg Extensible Adaptive optics Real-Time Toolkit (HEART) is a complete framework written in C and Python for building next-generation adaptive optics (AO) system real-time controllers, with the performance needed for extremely large telescop
Externí odkaz:
http://arxiv.org/abs/2412.18006
Autor:
Jenkins, Marcus, Franklin, Kirsty A., Nicoll, Malcolm A. C., Cole, Nik C., Ruhomaun, Kevin, Tatayah, Vikash, Mackiewicz, Michal
Publikováno v:
Sensors 2024, 24, 8002
Monitoring animal populations is crucial for assessing the health of ecosystems. Traditional methods, which require extensive fieldwork, are increasingly being supplemented by time-lapse camera-trap imagery combined with an automatic analysis of the
Externí odkaz:
http://arxiv.org/abs/2412.16329
Autor:
Nishihaya, Shinichi, Jardine, Malcolm J. A., Inbar, Hadass S., Goswami, Aranya, Dong, Jason T., Engel, Aaron N., Chang, Yu-Hao, Dempsey, Connor P., Hashimoto, Makoto, Lu, Donghui, Marom, Noa, Palmstrøm, Chris J.
The interplay between half-metallic ferromagnetism and spin-orbit coupling within the inversion symmetry-broken structure of half Heuslers provides an ideal platform for various spintronics functionalities. Taking advantage of good lattice matching,
Externí odkaz:
http://arxiv.org/abs/2412.11770
Autor:
Bogroff, Malcolm, Cowley, Gabriel, Nicastro, Ariel, Levy, David, Wu, Yueh-Chun, Mao, Nannan, Yang, Tilo H., Zhang, Tianyi, Kong, Jing, Vasudevan, Rama, Kelley, Kyle P., Lawrie, Benjamin J.
Cathodoluminescence microscopy is now a well-established and powerful tool for probing the photonic properties of nanoscale materials, but in many cases, nanophotonic materials are easily damaged by the electron-beam doses necessary to achieve reason
Externí odkaz:
http://arxiv.org/abs/2412.11413
Autor:
Zhang, Hanyu, Arvin, Chuck, Efimov, Dmitry, Mahoney, Michael W., Perrault-Joncas, Dominique, Ramasubramanian, Shankar, Wilson, Andrew Gordon, Wolff, Malcolm
Modern time-series forecasting models often fail to make full use of rich unstructured information about the time series themselves. This lack of proper conditioning can lead to obvious model failures; for example, models may be unaware of the detail
Externí odkaz:
http://arxiv.org/abs/2412.02525
Autor:
Billot, Nicolas, Hellmich, Stephan, Benz, Willy, Fortier, Andrea, Ehrenreich, David, Broeg, Christopher, Heitzmann, Alexis, Bekkelien, Anja, Brandeker, Alexis, Alibert, Yann, Alonso, Roi, Bárczy, Tamas, Navascues, David Barrado, Barros, Susana C. C., Baumjohann, Wolfgang, Biondi, Federico, Borsato, Luca, Cameron, Andrew Collier, van Damme, Carlos Corral, Correia, Alexandre C. M., Csizmadia, Szilard, Cubillos, Patricio E., Davies, Melvyn B., Deleuil, Magali, Deline, Adrien, Demangeon, Olivier D. S., Demory, Brice-Olivier, Derekas, Aliz, Edwards, Billy, Egger, Jo Ann, Erikson, Anders, Fossati, Luca, Fridlund, Malcolm, Gandolfi, Davide, Gazeas, Kosmas, Gillon, Michaël, Güdel, Manuel, Günther, Maximilian N., Helling, Ch., Isaak, Kate G., Kiss, Laszlo L., Korth, Judith, Lam, Kristine W. F., Laskar, Jacques, Etangs, Alain Lecavelier des, Lendl, Monika, Magrin, Demetrio, Maxted, Pierre F. L., Mecina, Marko, Merín, Bruno, Mordasini, Christoph, Nascimbeni, Valerio, Olofsson, Göran, Ottensamer, Roland, Pagano, Isabella, Pallé, Enric, Peter, Gisbert, Piazza, Daniele, Piotto, Giampaolo, Pollacco, Don, Queloz, Didier, Ragazzoni, Roberto, Rando, Nicola, Rauer, Heike, Ribas, Ignasi, Rieder, Martin, Santos, Nuno C., Scandariato, Gaetano, Ségransan, Damien, Simon, Attila E., Smith, Alexis M. S., Sousa, Sérgio G., Stalport, Manu, Sulis, Sophia, Szabó, Gyula M., Udry, Stéphane, Ulmer, Bernd, Ulmer-Moll, Solène, Van Grootel, Valérie, Venturini, Julia, Villaver, Eva, Walton, Nicholas A., Wilson, Thomas G.
Publikováno v:
Journal of Space Safety Engineering, Volume 11, Issue 3, September 2024, Pages 498-506
The CHaracterising ExOPlanet Satellite (CHEOPS) is a partnership between the European Space Agency and Switzerland with important contributions by 10 additional ESA member States. It is the first S-class mission in the ESA Science Programme. CHEOPS h
Externí odkaz:
http://arxiv.org/abs/2411.18326
Autor:
Reuel, Anka, Hardy, Amelia, Smith, Chandler, Lamparth, Max, Hardy, Malcolm, Kochenderfer, Mykel J.
AI models are increasingly prevalent in high-stakes environments, necessitating thorough assessment of their capabilities and risks. Benchmarks are popular for measuring these attributes and for comparing model performance, tracking progress, and ide
Externí odkaz:
http://arxiv.org/abs/2411.12990
Autor:
John, Peter St., Lin, Dejun, Binder, Polina, Greaves, Malcolm, Shah, Vega, John, John St., Lange, Adrian, Hsu, Patrick, Illango, Rajesh, Ramanathan, Arvind, Anandkumar, Anima, Brookes, David H, Busia, Akosua, Mahajan, Abhishaike, Malina, Stephen, Prasad, Neha, Sinai, Sam, Edwards, Lindsay, Gaudelet, Thomas, Regep, Cristian, Steinegger, Martin, Rost, Burkhard, Brace, Alexander, Hippe, Kyle, Naef, Luca, Kamata, Keisuke, Armstrong, George, Boyd, Kevin, Cao, Zhonglin, Chou, Han-Yi, Chu, Simon, Costa, Allan dos Santos, Darabi, Sajad, Dawson, Eric, Didi, Kieran, Fu, Cong, Geiger, Mario, Gill, Michelle, Hsu, Darren, Kaushik, Gagan, Korshunova, Maria, Kothen-Hill, Steven, Lee, Youhan, Liu, Meng, Livne, Micha, McClure, Zachary, Mitchell, Jonathan, Moradzadeh, Alireza, Mosafi, Ohad, Nashed, Youssef, Paliwal, Saee, Peng, Yuxing, Rabhi, Sara, Ramezanghorbani, Farhad, Reidenbach, Danny, Ricketts, Camir, Roland, Brian, Shah, Kushal, Shimko, Tyler, Sirelkhatim, Hassan, Srinivasan, Savitha, Stern, Abraham C, Toczydlowska, Dorota, Veccham, Srimukh Prasad, Venanzi, Niccolò Alberto Elia, Vorontsov, Anton, Wilber, Jared, Wilkinson, Isabel, Wong, Wei Jing, Xue, Eva, Ye, Cory, Yu, Xin, Zhang, Yang, Zhou, Guoqing, Zandstein, Becca, Dallago, Christian, Trentini, Bruno, Kucukbenli, Emine, Rvachov, Timur, Calleja, Eddie, Israeli, Johnny, Clifford, Harry, Haukioja, Risto, Haemel, Nicholas, Tretina, Kyle, Tadimeti, Neha, Costa, Anthony B
Artificial Intelligence models encoding biology and chemistry are opening new routes to high-throughput and high-quality in-silico drug development. However, their training increasingly relies on computational scale, with recent protein language mode
Externí odkaz:
http://arxiv.org/abs/2411.10548