Zobrazeno 1 - 10
of 67 501
pro vyhledávání: '"A. A. Toro"'
Autor:
Jara-Toro, Rafael A, Taccone, Martín, Dezalay, Jordan, Noble, Jennifer, von Helden, Gert, Pino, Gustavo
Publikováno v:
The Journal of Chemical Physics, 2024, 161 (8)
Dipole-bound states in anions exist when a polar neutral core binds an electron in a diffuse orbital through charge--dipole interaction. Electronically excited polar neutral cores can also bind an electron in a diffuse orbital to form Core-Excited Di
Externí odkaz:
http://arxiv.org/abs/2411.16453
Autor:
Vilamala, Marc Roig, Furby, Jack, Briseno, Julian de Gortari, Srivastava, Mani, Preece, Alun, Toro, Carolina Fuentes
Publikováno v:
IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) (2024) 597-600
Effective communication is essential in collaborative tasks, so AI-equipped robots working alongside humans need to be able to explain their behaviour in order to cooperate effectively and earn trust. We analyse and classify communications among huma
Externí odkaz:
http://arxiv.org/abs/2411.12483
Chronic kidney disease (CKD) is a significant public health challenge, often progressing to end-stage renal disease (ESRD) if not detected and managed early. Early intervention, warranted by silent disease progression, can significantly reduce associ
Externí odkaz:
http://arxiv.org/abs/2411.10754
Pluralistic alignment is concerned with ensuring that an AI system's objectives and behaviors are in harmony with the diversity of human values and perspectives. In this paper we study the notion of pluralistic alignment in the context of agentic AI,
Externí odkaz:
http://arxiv.org/abs/2411.10613
Autor:
Micalizzi, Lorenzo, Toro, Eleuterio F.
The numerical flux determines the performance of numerical methods for solving hyperbolic partial differential equations (PDEs). In this work, we compare a selection of 8 numerical fluxes in the framework of nonlinear semidiscrete finite volume (FV)
Externí odkaz:
http://arxiv.org/abs/2411.07422
Autor:
Aguilera-del-Toro, Rodrigo Humberto, Arruabarrena, Mikel, Leonardo, Aritz, Rodriguez-Vega, Martin, Fiete, Gregory A., Ayuela, Andrés
The manganese pnictide CaMn$_2$Bi$_2$, with Mn atoms arranged in a puckered honeycomb structure, exhibits narrow-gap antiferromagnetism, and it is currently a promising candidate for the study of complex electronic and magnetic phenomena, such as mag
Externí odkaz:
http://arxiv.org/abs/2410.23053
Autor:
Shuntov, M., Ilbert, O., Toft, S., Arango-Toro, R. C., Akins, H. B., Casey, C. M., Franco, M., Harish, S., Kartaltepe, J. S., Koekemoer, A. M., McCracken, H. J., Paquereau, L., Laigle, C., Bethermin, M., Dubois, Y., Drakos, N. E., Faisst, A., Gozaliasl, G., Gillman, S., Hayward, C. C., Hirschmann, M., Huertas-Company, M., Jespersen, C. K., Jin, S., Kokorev, V., Lambrides, E., Borgne, D. Le, Liu, D., Magdis, G., Massey, R., McPartland, C. J. R., Mercier, W., McCleary, J. E., McKinney, J., Oesch, P. A., Rhodes, J. D., Rich, R. M., Robertson, B. E., Sanders, D., Trebitsch, M., Tresse, L., Valentino, F., Vijayan, A. P., Weaver, J. R., Weibel, A., Wilkins, S. M.
We study the stellar mass function (SMF) and the co-evolution with dark matter halos via abundance matching in the largest redshift range to date $0.25$, we find increas
Externí odkaz:
http://arxiv.org/abs/2410.08290
Autor:
Gyawali, Gaurav, Cochran, Tyler, Lensky, Yuri, Rosenberg, Eliott, Karamlou, Amir H., Kechedzhi, Kostyantyn, Berndtsson, Julia, Westerhout, Tom, Asfaw, Abraham, Abanin, Dmitry, Acharya, Rajeev, Beni, Laleh Aghababaie, Andersen, Trond I., Ansmann, Markus, Arute, Frank, Arya, Kunal, Astrakhantsev, Nikita, Atalaya, Juan, Babbush, Ryan, Ballard, Brian, Bardin, Joseph C., Bengtsson, Andreas, Bilmes, Alexander, Bortoli, Gina, Bourassa, Alexandre, Bovaird, Jenna, Brill, Leon, Broughton, Michael, Browne, David A., Buchea, Brett, Buckley, Bob B., Buell, David A., Burger, Tim, Burkett, Brian, Bushnell, Nicholas, Cabrera, Anthony, Campero, Juan, Chang, Hung-Shen, Chen, Zijun, Chiaro, Ben, Claes, Jahan, Cleland, Agnetta Y., Cogan, Josh, Collins, Roberto, Conner, Paul, Courtney, William, Crook, Alexander L., Das, Sayan, Debroy, Dripto M., De Lorenzo, Laura, Barba, Alexander Del Toro, Demura, Sean, Di Paolo, Agustin, Donohoe, Paul, Drozdov, Ilya, Dunsworth, Andrew, Earle, Clint, Eickbusch, Alec, Elbag, Aviv Moshe, Elzouka, Mahmoud, Erickson, Catherine, Faoro, Lara, Fatemi, Reza, Ferreira, Vinicius S., Burgos, Leslie Flores, Forati, Ebrahim, Fowler, Austin G., Foxen, Brooks, Ganjam, Suhas, Gasca, Robert, Giang, William, Gidney, Craig, Gilboa, Dar, Gosula, Raja, Dau, Alejandro Grajales, Graumann, Dietrich, Greene, Alex, Gross, Jonathan A., Habegger, Steve, Hamilton, Michael C., Hansen, Monica, Harrigan, Matthew P., Harrington, Sean D., Heslin, Stephen, Heu, Paula, Hill, Gordon, Hilton, Jeremy, Hoffmann, Markus R., Huang, Hsin-Yuan, Huff, Ashley, Huggins, William J., Ioffe, Lev B., Isakov, Sergei V., Jeffrey, Evan, Jiang, Zhang, Jones, Cody, Jordan, Stephen, Joshi, Chaitali, Juhas, Pavol, Kafri, Dvir, Kang, Hui, Khaire, Trupti, Khattar, Tanuj, Khezri, Mostafa, Kieferová, Mária, Kim, Seon, Klimov, Paul V., Klots, Andrey R., Kobrin, Bryce, Korotkov, Alexander N., Kostritsa, Fedor, Kreikebaum, John Mark, Kurilovich, Vladislav D., Landhuis, David, Lange-Dei, Tiano, Langley, Brandon W., Laptev, Pavel, Lau, Kim-Ming, Guevel, Loïck Le, Ledford, Justin, Lee, Joonho, Lee, Kenny, Lester, Brian J., Li, Wing Yan, Lill, Alexander T., Liu, Wayne, Livingston, William P., Locharla, Aditya, Lundahl, Daniel, Lunt, Aaron, Madhuk, Sid, Maloney, Ashley, Mandrà, Salvatore, Martin, Leigh S., Martin, Steven, Martin, Orion, Maxfield, Cameron, McClean, Jarrod R., McEwen, Matt, Meeks, Seneca, Megrant, Anthony, Mi, Xiao, Miao, Kevin C., Mieszala, Amanda, Molina, Sebastian, Montazeri, Shirin, Morvan, Alexis, Movassagh, Ramis, Neill, Charles, Nersisyan, Ani, Newman, Michael, Nguyen, Anthony, Nguyen, Murray, Ni, Chia-Hung, Niu, Murphy Yuezhen, Oliver, William D., Ottosson, Kristoffer, Pizzuto, Alex, Potter, Rebecca, Pritchard, Orion, Pryadko, Leonid P., Quintana, Chris, Reagor, Matthew J., Rhodes, David M., Roberts, Gabrielle, Rocque, Charles, Rubin, Nicholas C., Saei, Negar, Sankaragomathi, Kannan, Satzinger, Kevin J., Schurkus, Henry F., Schuster, Christopher, Shearn, Michael J., Shorter, Aaron, Shutty, Noah, Shvarts, Vladimir, Sivak, Volodymyr, Skruzny, Jindra, Small, Spencer, Smith, W. Clarke, Springer, Sofia, Sterling, George, Suchard, Jordan, Szalay, Marco, Szasz, Aaron, Sztein, Alex, Thor, Douglas, Torunbalci, M. Mert, Vaishnav, Abeer, Vdovichev, Sergey, Vidal, Guifré, Heidweiller, Catherine Vollgraff, Waltman, Steven, Wang, Shannon X., White, Theodore, Wong, Kristi, Woo, Bryan W. K., Xing, Cheng, Yao, Z. Jamie, Yeh, Ping, Ying, Bicheng, Yoo, Juhwan, Yosri, Noureldin, Young, Grayson, Zalcman, Adam, Zhang, Yaxing, Zhu, Ningfeng, Zobrist, Nicholas, Boixo, Sergio, Kelly, Julian, Lucero, Erik, Chen, Yu, Smelyanskiy, Vadim, Neven, Hartmut, Kovrizhin, Dmitry, Knolle, Johannes, Halimeh, Jad C., Aleiner, Igor, Moessner, Roderich, Roushan, Pedram
One of the most challenging problems in the computational study of localization in quantum manybody systems is to capture the effects of rare events, which requires sampling over exponentially many disorder realizations. We implement an efficient pro
Externí odkaz:
http://arxiv.org/abs/2410.06557
Autor:
Arango-Toro, R. C., Ilbert, O., Ciesla, L., Shuntov, M., Aufort, G., Mercier, W., Laigle, C., Franco, M., Bethermin, M., Borgne, D. Le, Dubois, Y., McCracken, H. J., Paquereau, L., Huertas-Company, M., Kartaltepe, J., Casey, C. M., Akins, H., Allen, N., Andika, I., Brinch, M., Drakos, N. E., Faisst, A., Gozaliasl, G., Harish, S., Kaminsky, A., Koekemoer, A., Kokorev, V., Liu, D., Magdis, G., Martin, C. L., Moutard, T., Rhodes, J., Rich, R. M., Robertson, B., Sanders, D. B., Sheth, K., Talia, M., Toft, S., Tresse, L., Valentino, F., Vijayan, A., Weaver, J.
The stellar mass-star formation rate (M$_\star$ - SFR) plane is essential for distinguishing galaxy populations, but how galaxies move within this plane over cosmic time remains unclear. This study aims to describe galaxy migrations in the M$_\star$
Externí odkaz:
http://arxiv.org/abs/2410.05375
Publikováno v:
Oldenburg, V., Cardenas-Cartagena, J., & Valdenegro-Toro, M. (2024). Forecasting smog clouds with deep learning: A proof-of-concept. In ICML 2024 AI for Science Workshop. https://openreview.net/forum?id=UQa2PEVHMF
In this proof-of-concept study, we conduct multivariate timeseries forecasting for the concentrations of nitrogen dioxide (NO2), ozone (O3), and (fine) particulate matter (PM10 & PM2.5) with meteorological covariates between two locations using vario
Externí odkaz:
http://arxiv.org/abs/2410.02759