Zobrazeno 1 - 10
of 50 595
pro vyhledávání: '"P. Ivana"'
Direct air capture (DAC) of carbon dioxide is a critical technology for mitigating climate change, but current materials face limitations in efficiency and scalability. We discover novel DAC materials using a combined machine learning (ML) and high-t
Externí odkaz:
http://arxiv.org/abs/2410.13982
In crystalline materials, low lattice thermal conductivity is often associated with strong anharmonicity, which can cause significant deviations from the expected Lorentzian lineshape of phonon spectral functions. These deviations, occurring in an ov
Externí odkaz:
http://arxiv.org/abs/2410.13485
Autor:
Grinkemeyer, Brandon, Guardado-Sanchez, Elmer, Dimitrova, Ivana, Shchepanovich, Danilo, Mandopoulou, G. Eirini, Borregaard, Johannes, Vuletić, Vladan, Lukin, Mikhail D.
Neutral atom quantum processors are a promising platform for large-scale quantum computing. Integrating them with an optical cavity enables fast nondestructive qubit readout and access to fast remote entanglement generation for quantum networking. He
Externí odkaz:
http://arxiv.org/abs/2410.10787
Model-based reinforcement learning (RL) offers a solution to the data inefficiency that plagues most model-free RL algorithms. However, learning a robust world model often demands complex and deep architectures, which are expensive to compute and tra
Externí odkaz:
http://arxiv.org/abs/2410.08893
Autor:
Ségal, Léontine, Roueff, Antoine, Pety, Jérôme, Gerin, Maryvonne, Roueff, Evelyne, Goicoechea, R. Javier, Bešlic, Ivana, Coud'e, Simon, Einig, Lucas, Mazurek, Helena, Orkisz, H. Jan, Palud, Pierre, Santa-Maria, G. Miriam, Zakardjian, Antoine, Bardeau, S'ebastien, Bron, Emeric, Chainais, Pierre, Demyk, Karine, Magalhaes, Victor de Souza, Gratier, Pierre, Guzman, V. Viviana, Hughes, Annie, Languignon, David, Levrier, François, Bourlot, Jacques Le, Petit, Franck Le, Lis, C. Dariusz, Liszt, S. Harvey, Peretto, Nicolas, Sievers, Albrecht, Thouvenin, Pierre-Antoine
Dense cold molecular cores/filaments are surrounded by an envelope of translucent gas. Some of the low-J emission lines of CO and HCO$^+$ isotopologues are more sensitive to the conditions either in the translucent environment or in the dense cold on
Externí odkaz:
http://arxiv.org/abs/2409.20074
Autor:
Schouws, Sander, Bouwens, Rychard J., Ormerod, Katherine, Smit, Renske, Algera, Hiddo, Sommovigo, Laura, Hodge, Jacqueline, Ferrara, Andrea, Oesch, Pascal A., Rowland, Lucie E., van Leeuwen, Ivana, Stefanon, Mauro, Herard-Demanche, Thomas, Fudamoto, Yoshinobu, Röttgering, Huub, van der Werf, Paul
We report the first successful ALMA follow-up observations of a secure $z > 10$ JWST-selected galaxy, by robustly detecting ($6.6\sigma$) the [OIII]$_{88\mu m}\,$ line in JADES-GS-z14-0 (hereafter GS-z14). The ALMA detection yields a spectroscopic re
Externí odkaz:
http://arxiv.org/abs/2409.20549
Autor:
Faddegon, Bruce, Blakely, Eleanor A., Burigo, Lucas, Censor, Yair, Dokic, Ivana, Kondo, Naoki Dominguez, Ortiz, Ramon, Mendez, Jose Ramos, Rucinski, Antoni, Schubert, Keith, Wahl, Niklas, Schulte, Reinhard
Publikováno v:
Physics in Medicine & Biology, Vol. 68, 175013, (2023)
Objective: To propose a mathematical model for applying Ionization Detail (ID), the detailed spatial distribution of ionization along a particle track, to proton and ion beam radiotherapy treatment planning (RTP). Approach: Our model provides for sel
Externí odkaz:
http://arxiv.org/abs/2409.15725
Autor:
van Herten, Rudolf L. M., Lagogiannis, Ioannis, Wolterink, Jelmer M., Bruns, Steffen, Meulendijks, Eva R., Dey, Damini, de Groot, Joris R., Henriques, José P., Planken, R. Nils, Saitta, Simone, Išgum, Ivana
Deep learning-based medical image segmentation and surface mesh generation typically involve a sequential pipeline from image to segmentation to meshes, often requiring large training datasets while making limited use of prior geometric knowledge. Th
Externí odkaz:
http://arxiv.org/abs/2409.11837
We present a comprehensive dataset of Java vulnerability-fixing commits (VFCs) to advance research in Java vulnerability analysis. Our dataset, derived from thousands of open-source Java projects on GitHub, comprises two variants: JavaVFC and JavaVFC
Externí odkaz:
http://arxiv.org/abs/2409.05576
Reinforcement Learning (RL) is a learning paradigm in which the agent learns from its environment through trial and error. Deep reinforcement learning (DRL) algorithms represent the agent's policies using neural networks, making their decisions diffi
Externí odkaz:
http://arxiv.org/abs/2409.05435