Zobrazeno 1 - 10
of 14 273
pro vyhledávání: '"P. Haber"'
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
How did humanity coax mathematics from the aether? We explore the Platonic view that mathematics can be discovered from its axioms - a game of conjecture and proof. We describe Minimo (Mathematics from Intrinsic Motivation): an agent that jointly lea
Externí odkaz:
http://arxiv.org/abs/2407.00695
The large spatial/temporal/frequency scale of geoscience and remote-sensing datasets causes memory issues when using convolutional neural networks for (sub-) surface data segmentation. Recently developed fully reversible or fully invertible networks
Externí odkaz:
http://arxiv.org/abs/2407.00595
This study focuses on inverting time-domain airborne electromagnetic data in 2D by training a neural-network to understand the relationship between data and conductivity, thereby removing the need for expensive forward modeling during the inversion p
Externí odkaz:
http://arxiv.org/abs/2407.00257
Many problems in physical sciences are characterized by the prediction of space-time sequences. Such problems range from weather prediction to the analysis of disease propagation and video prediction. Modern techniques for the solution of these probl
Externí odkaz:
http://arxiv.org/abs/2406.19253