Zobrazeno 1 - 10
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pro vyhledávání: '"Evans, A. L."'
Two key issues hindering the transition towards FAIR data science are the poor discoverability and inconsistent instructions for the use of data extractor tools, i.e., how we go from raw data files created by instruments, to accessible metadata and s
Externí odkaz:
http://arxiv.org/abs/2410.18839
Autor:
Evans, Jason L., Lyu, Jun-Yuan
Recent work has shown the utility of examining background effects from ultralight dark matter on precision measurements. This effect enhances seemingly benign contributions to the level that experiments are sensitive to them. In this work, we examine
Externí odkaz:
http://arxiv.org/abs/2410.10715
Autor:
Evans, Jason L., Shigekami, Yoshihiro
In this paper, we discuss the predicted proton lifetimes in minimal supersymmetric (SUSY) $SU(5)$ grand unified theory (GUT) with gauge mediated supersymmetry breaking (GMSB). We focus on the case of $\mathbf{5} + \mathbf{\bar{5}}$ messengers and det
Externí odkaz:
http://arxiv.org/abs/2409.06239
Autor:
Evans, Elise L., Dupuy, Trent J., Sullivan, Kendall, Kraus, Adam L., Huber, Daniel, Ireland, Michael J., Ansdell, Megan, Kuruwita, Rajika L., Martinez, Raquel A., Wood, Mackenna L.
Transiting planets in multiple-star systems, especially high-order multiples, make up a small fraction of the known planet population but provide unique opportunities to study the environments in which planets would have formed. Planet-hosting binari
Externí odkaz:
http://arxiv.org/abs/2409.02223
Autor:
Trinquet, Victor, Evans, Matthew L., Hargreaves, Cameron J., De Breuck, Pierre-Paul, Rignanese, Gian-Marco
Publikováno v:
Faraday Discussions (2024)
Combinatorial and guided screening of materials space with density-functional theory and related approaches has provided a wealth of hypothetical inorganic materials, which are increasingly tabulated in open databases. The OPTIMADE API is a standardi
Externí odkaz:
http://arxiv.org/abs/2405.11393
Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange
Autor:
Evans, Matthew L., Bergsma, Johan, Merkys, Andrius, Andersen, Casper W., Andersson, Oskar B., Beltrán, Daniel, Blokhin, Evgeny, Boland, Tara M., Balderas, Rubén Castañeda, Choudhary, Kamal, Díaz, Alberto Díaz, García, Rodrigo Domínguez, Eckert, Hagen, Eimre, Kristjan, Montero, María Elena Fuentes, Krajewski, Adam M., Mortensen, Jens Jørgen, Duarte, José Manuel Nápoles, Pietryga, Jacob, Qi, Ji, Carrillo, Felipe de Jesús Trejo, Vaitkus, Antanas, Yu, Jusong, Zettel, Adam, de Castro, Pedro Baptista, Carlsson, Johan, Cerqueira, Tiago F. T., Divilov, Simon, Hajiyani, Hamidreza, Hanke, Felix, Jose, Kevin, Oses, Corey, Riebesell, Janosh, Schmidt, Jonathan, Winston, Donald, Xie, Christen, Yang, Xiaoyu, Bonella, Sara, Botti, Silvana, Curtarolo, Stefano, Draxl, Claudia, Cobas, Luis Edmundo Fuentes, Hospital, Adam, Liu, Zi-Kui, Marques, Miguel A. L., Marzari, Nicola, Morris, Andrew J., Ong, Shyue Ping, Orozco, Modesto, Persson, Kristin A., Thygesen, Kristian S., Wolverton, Chris, Scheidgen, Markus, Toher, Cormac, Conduit, Gareth J., Pizzi, Giovanni, Gražulis, Saulius, Rignanese, Gian-Marco, Armiento, Rickard
Publikováno v:
Digital Discovery, 2024, 3, 1509-1533
The Open Databases Integration for Materials Design (OPTIMADE) application programming interface (API) empowers users with holistic access to a growing federation of databases, enhancing the accessibility and discoverability of materials and chemical
Externí odkaz:
http://arxiv.org/abs/2402.00572
Autor:
Davis, Adam C. S., Barré, Sacha, Cui, Yangyang, Evans, Keith L, Gersabeck, Marco, Rat, Antonin, Montazeri, Zahra
Optical photon propagation is an embarrassingly parallel operation, well suited to acceleration on GPU devices. Rendering of images employs similar techniques -- for this reason, a pipeline to offload optical photon propagation from Geant4 to the ind
Externí odkaz:
http://arxiv.org/abs/2309.12496
Autor:
Evans, Catherine L., author
Publikováno v:
In Between and Across : Legal History Without Boundaries, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780197680995.003.0007
Autor:
Jablonka, Kevin Maik, Ai, Qianxiang, Al-Feghali, Alexander, Badhwar, Shruti, Bocarsly, Joshua D., Bran, Andres M, Bringuier, Stefan, Brinson, L. Catherine, Choudhary, Kamal, Circi, Defne, Cox, Sam, de Jong, Wibe A., Evans, Matthew L., Gastellu, Nicolas, Genzling, Jerome, Gil, María Victoria, Gupta, Ankur K., Hong, Zhi, Imran, Alishba, Kruschwitz, Sabine, Labarre, Anne, Lála, Jakub, Liu, Tao, Ma, Steven, Majumdar, Sauradeep, Merz, Garrett W., Moitessier, Nicolas, Moubarak, Elias, Mouriño, Beatriz, Pelkie, Brenden, Pieler, Michael, Ramos, Mayk Caldas, Ranković, Bojana, Rodriques, Samuel G., Sanders, Jacob N., Schwaller, Philippe, Schwarting, Marcus, Shi, Jiale, Smit, Berend, Smith, Ben E., Van Herck, Joren, Völker, Christoph, Ward, Logan, Warren, Sean, Weiser, Benjamin, Zhang, Sylvester, Zhang, Xiaoqi, Zia, Ghezal Ahmad, Scourtas, Aristana, Schmidt, KJ, Foster, Ian, White, Andrew D., Blaiszik, Ben
Large-language models (LLMs) such as GPT-4 caught the interest of many scientists. Recent studies suggested that these models could be useful in chemistry and materials science. To explore these possibilities, we organized a hackathon. This article c
Externí odkaz:
http://arxiv.org/abs/2306.06283
In this paper, we propose a learning-based detection framework for uplink massive multiple-input and multiple-output (MIMO) systems with one-bit analog-to-digital converters. The learning-based detection only requires counting the occurrences of the
Externí odkaz:
http://arxiv.org/abs/2304.07696