Zobrazeno 1 - 10
of 51 096
pro vyhledávání: '"A. Haber"'
Understanding and predicting complex dynamics in accelerators is necessary for their successful operation. A grand challenge in accelerator physics is to develop predictive virtual accelerators that mitigate design cost and schedule risk. Data-driven
Externí odkaz:
http://arxiv.org/abs/2410.14019
Autor:
Sun, Fan-Yun, Harini, S. I., Yi, Angela, Zhou, Yihan, Zook, Alex, Tremblay, Jonathan, Cross, Logan, Wu, Jiajun, Haber, Nick
Generating simulations to train intelligent agents in game-playing and robotics from natural language input, from user input or task documentation, remains an open-ended challenge. Existing approaches focus on parts of this challenge, such as generat
Externí odkaz:
http://arxiv.org/abs/2409.17652
Isospin-equilibrating weak processes, called ``Urca" processes, are of fundamental importance in astrophysical environments like (proto-)neutron stars, neutron star mergers, and supernovae. In these environments, matter can reach high temperatures of
Externí odkaz:
http://arxiv.org/abs/2409.09423
Autor:
Salem, Nayel Fabian, Nolte, Marcus, Haber, Veronica, Menzel, Till, Steege, Hans, Graubohm, Robert, Maurer, Markus
Vehicles in public traffic that are equipped with Automated Driving Systems are subject to a number of expectations: Among other aspects, their behavior should be safe, conforming to the rules of the road and provide mobility to their users. This pos
Externí odkaz:
http://arxiv.org/abs/2409.06607
Autor:
Yang, Tao, Sekely, Ben, Satapathy, Yashas, Allion, Greg, Barletta, Philip, Haber, Carl, Holland, Steve, Muth, John F., Pavlidis, Spyridon, Stucci, Stefania
4H-SiC low gain avalanche detectors (LGADs) have been fabricated and characterized. The devices employ a circular mesa design with low-resistivity contacts and an SiO$_2$ passivation layer. The I-V and C-V characteristics of the 4H-SiC LGADs are comp
Externí odkaz:
http://arxiv.org/abs/2408.12744
In recent years, Graph Neural Networks (GNNs) have been utilized for various applications ranging from drug discovery to network design and social networks. In many applications, it is impossible to observe some properties of the graph directly; inst
Externí odkaz:
http://arxiv.org/abs/2408.10436
Autor:
Sagredo, Francisca, Gant, Stephen E., Ohad, Guy, Haber, Jonah B., Filip, Marina R., Kronik, Leeor, Neaton, Jeffrey B.
Halide double perovskites are a chemically-diverse and growing class of compound semiconductors that are promising for optoelectronic applications. However, the prediction of their fundamental gaps and optical properties with density functional theor
Externí odkaz:
http://arxiv.org/abs/2408.04115
Autor:
Niknazar, Mohammad, Haley, Paul V, Ramanan, Latha, Truong, Sang T., Shrinivasan, Yedendra, Bhowmick, Ayan Kumar, Dey, Prasenjit, Jagmohan, Ashish, Maheshwari, Hema, Ponoth, Shom, Smith, Robert, Vempaty, Aditya, Haber, Nick, Koyejo, Sanmi, Sundararajan, Sharad
Generative AI holds the promise of enabling a range of sought-after capabilities and revolutionizing workflows in various consumer and enterprise verticals. However, putting a model in production involves much more than just generating an output. It
Externí odkaz:
http://arxiv.org/abs/2408.01452
Multi-agent reinforcement learning (MARL) methods struggle with the non-stationarity of multi-agent systems and fail to adaptively learn online when tested with novel agents. Here, we leverage large language models (LLMs) to create an autonomous agen
Externí odkaz:
http://arxiv.org/abs/2407.07086
Autor:
Gong, Ting, Maffei, Chiara, Dann, Evan, Lee, Hong-Hsi, Lee, Hansol, Augustinack, Jean C., Huang, Susie Y., Haber, Suzanne N., Yendiki, Anastasia
Axon diameter and myelin thickness are closely related microstructural tissue properties that affect the conduction velocity of action potentials in the nervous system. Imaging them non-invasively with MRI-based methods is thus valuable for studying
Externí odkaz:
http://arxiv.org/abs/2407.02227