Zobrazeno 1 - 10
of 2 843
pro vyhledávání: '"Torbati, A"'
Autor:
Hafez-Torbati, Mohsen
The antiferromagnetic quantum Hall insulator (AFQHI) where one of the spin components is in the quantum Hall state and the other in the trivial state is an established phase emerging as a result of the Hubbard repulsion in spinful quantum Hall system
Externí odkaz:
http://arxiv.org/abs/2410.23367
Autor:
Hafez-Torbati, Mohsen
Publikováno v:
Phys. Rev. B 110, 115147 (2024)
The cooperation of electronic correlation and spin-orbit coupling can stabilize magnetic topological insulators which host novel quantum phenomena such as the quantum anomalous Hall state also known as Chern insulator (CI). Here, we investigate the e
Externí odkaz:
http://arxiv.org/abs/2407.02630
Autor:
Lange, Lukas, Müller, Marc, Torbati, Ghazaleh Haratinezhad, Milchevski, Dragan, Grau, Patrick, Pujari, Subhash, Friedrich, Annemarie
Monitoring the threat landscape to be aware of actual or potential attacks is of utmost importance to cybersecurity professionals. Information about cyber threats is typically distributed using natural language reports. Natural language processing ca
Externí odkaz:
http://arxiv.org/abs/2404.07765
Autor:
Hafez-Torbati, Mohsen, Uhrig, Götz S.
Publikováno v:
Sci. Rep. 14, 17168 (2024)
Despite the discovery of multiple intrinsic magnetic topological insulators in recent years the observation of Chern insulators is still restricted to very low temperatures due to the negligible charge gaps. Here, we uncover the potential of heavy tr
Externí odkaz:
http://arxiv.org/abs/2402.12918
Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities
Recent advances in multi-agent reinforcement learning (MARL) are enabling impressive coordination in heterogeneous multi-robot teams. However, existing approaches often overlook the challenge of generalizing learned policies to teams of new compositi
Externí odkaz:
http://arxiv.org/abs/2401.13127
Recommender systems are most successful for popular items and users with ample interactions (likes, ratings etc.). This work addresses the difficult and underexplored case of supporting users who have very sparse interactions but post informative rev
Externí odkaz:
http://arxiv.org/abs/2311.01314
Multi-Agent Reinforcement Learning (MARL) has enjoyed significant recent progress thanks, in part, to the integration of deep learning techniques for modeling interactions in complex environments. This is naturally starting to benefit multi-robot sys
Externí odkaz:
http://arxiv.org/abs/2307.03891
Publikováno v:
رشد و یادگیری حرکتی ورزشی, Vol 16, Iss 3, Pp 41-61 (2024)
Introduction: The goal of research is to create a learning environment that can increase learning. This study aimed to investigate the effect of contextual interference on spatial accuracy and motor reprogramming of the sequential motor task in peopl
Externí odkaz:
https://doaj.org/article/c5f916db7aa04736b71d14aa66706ee3
Autor:
Emily Banks, Vincent Francis, Sheng-Jia Lin, Fares Kharfallah, Vladimir Fonov, Maxime Lévesque, Chanshuai Han, Gopinath Kulasekaran, Marius Tuznik, Armin Bayati, Reem Al-Khater, Fowzan S. Alkuraya, Loukas Argyriou, Meisam Babaei, Melanie Bahlo, Behnoosh Bakhshoodeh, Eileen Barr, Lauren Bartik, Mahmoud Bassiony, Miriam Bertrand, Dominique Braun, Rebecca Buchert, Mauro Budetta, Maxime Cadieux-Dion, Daniel G. Calame, Heidi Cope, Donna Cushing, Stephanie Efthymiou, Marwa Abd Elmaksoud, Huda G. El Said, Tawfiq Froukh, Harinder K. Gill, Joseph G. Gleeson, Laura Gogoll, Elaine S.-Y. Goh, Vykuntaraju K. Gowda, Tobias B. Haack, Mais O. Hashem, Stefan Hauser, Trevor L. Hoffman, Jacob S. Hogue, Akimoto Hosokawa, Henry Houlden, Kevin Huang, Stephanie Huynh, Ehsan G. Karimiani, Silke Kaulfuß, G. Christoph Korenke, Amy Kritzer, Hane Lee, James R. Lupski, Elysa J. Marco, Kirsty McWalter, Arakel Minassian, Berge A. Minassian, David Murphy, Juanita Neira-Fresneda, Hope Northrup, Denis M. Nyaga, Barbara Oehl-Jaschkowitz, Matthew Osmond, Richard Person, Davut Pehlivan, Cassidy Petree, Lynette G. Sadleir, Carol Saunders, Ludger Schoels, Vandana Shashi, Rebecca C. Spillmann, Varunvenkat M. Srinivasan, Paria N. Torbati, Tulay Tos, Undiagnosed Diseases Network, Maha S. Zaki, Dihong Zhou, Christiane Zweier, Jean-François Trempe, Thomas M. Durcan, Ziv Gan-Or, Massimo Avoli, Cesar Alves, Gaurav K. Varshney, Reza Maroofian, David A. Rudko, Peter S. McPherson
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-22 (2024)
Abstract Developmental and epileptic encephalopathies (DEEs) feature altered brain development, developmental delay and seizures, with seizures exacerbating developmental delay. Here we identify a cohort with biallelic variants in DENND5A, encoding a
Externí odkaz:
https://doaj.org/article/67b9cc39749f4c32a8e5662c1d902770
Autor:
Torbati-Sarraf, Hamid a, Sinclair, Daniel a, Ganju, Eshan a, Torbati-Sarraf, S.A. b, Niverty, Sridhar c, Singaravellu, Arun d, Chawla, Nikhilesh a, ⁎
Publikováno v:
In Materials Characterization September 2024 215