Zobrazeno 1 - 10
of 30 334
pro vyhledávání: '"A, Palm"'
When employing deep neural networks (DNNs) for semantic segmentation in safety-critical applications like automotive perception or medical imaging, it is important to estimate their performance at runtime, e.g. via uncertainty estimates or prediction
Externí odkaz:
http://arxiv.org/abs/2409.11373
Autor:
Bumberger, J., Abbrent, M., Brinckmann, N., Hemmen, J., Kunkel, R., Lorenz, C., Lünenschloß, P., Palm, B., Schnicke, T., Schulz, C., van der Schaaf, H., Schäfer, D.
Addressing the challenges posed by climate change, biodiversity loss, and environmental pollution requires comprehensive monitoring and effective data management strategies that are applicable across various scales in environmental system science. Th
Externí odkaz:
http://arxiv.org/abs/2409.03351
While the blockchain-based smart contract has become a hot topic of research over the last decade, not the least in the context of Industry 4.0, it now has well-known legal and technical shortcomings that currently prohibit its real-world application
Externí odkaz:
http://arxiv.org/abs/2408.06084
Autor:
Palm, Marius L., Ding, Chaoxin, Huxter, William S., Taniguchi, Takashi, Watanabe, Kenji, Degen, Christian L.
Publikováno v:
Science 384, 6694, 465-469 (2024)
Electron-electron interactions in high-mobility conductors can give rise to transport signatures resembling those described by classical hydrodynamics. Using a nanoscale scanning magnetometer, we imaged a distinctive hydrodynamic transport pattern -
Externí odkaz:
http://arxiv.org/abs/2408.00182
The search for Majorana excitations has seen tremendous efforts in recent years, ultimately aiming for their individual controllability in future topological quantum computers. A promising framework to realize such exotic Majorana fermions are topolo
Externí odkaz:
http://arxiv.org/abs/2407.18873
Autor:
Khamis, Sami S., Sulai, Ibrahim A., Hamilton, Paul, Afach, S., Buchler, B. C., Budker, D., Figueroa, N. L., Folman, R., Gavilán-Martín, D., Givon, M., Grujić, Z. D., Guo, H., Hedges, M. P., Kimball, D. F. Jackson, Kim, D., Klinger, E., Kornack, T., Kryemadhi, A., Kukowski, N., Lukasiewicz, G., Masia-Roig, H., Padniuk, M., Palm, C. A., Park, S. Y., Peng, X., Pospelov, M., Pustelny, S., Rosenzweig, Y., Ruimi, O. M., Segura, P. C., Scholtes, T., Semertzidis, Y. K., Shin, Y. C., Stalnaker, J. E., Tandon, D., Weis, A., Wickenbrock, A., Wilson, T., Wu, T., Zhang, J., Zhao, Y.
We present an analysis method to search for exotic low-mass field (ELF) bursts generated during large energy astrophysical events such as supernovae, binary black hole or binary neutron star mergers, and fast radio bursts using the Global Network of
Externí odkaz:
http://arxiv.org/abs/2407.13919
Autor:
Shadmany, Danial, Kumar, Aishwarya, Soper, Anna, Palm, Lukas, Yin, Chuan, Ando, Henry, Li, Bowen, Taneja, Lavanya, Jaffe, Matt, Schuster, David, Simon, Jon
From fundamental studies of light-matter interaction to applications in quantum networking and sensing, cavity quantum electrodynamics (QED) provides a platform-crossing toolbox to control interactions between atoms and photons. The coherence of such
Externí odkaz:
http://arxiv.org/abs/2407.04784
Autor:
Saha, Matt, Wen, Y. Henry, Greenspon, Andrew S., Zimmermann, Matthew, Palm, Kevin J., Witte, Alex, Goh, Yin Min, Li, Chao, Dong, Mark, Leenheer, Andrew J., Clark, Genevieve, Gilbert, Gerald, Eichenfield, Matt, Englund, Dirk
A seamless chip-to-world photonic interface enables wide-ranging advancements in optical ranging, display, communication, computation, imaging, and light-matter interaction. An optimal solution allows for 2D scanning of a diffraction-limited beam fro
Externí odkaz:
http://arxiv.org/abs/2406.17662
Due to their immense representative power, neural network quantum states (NQS) have gained significant interest in current research. In recent advances in the field of NQS, it has been demonstrated that this approach can compete with state-of-the-art
Externí odkaz:
http://arxiv.org/abs/2405.04472
Designing thermodynamic conditions to improve (or reduce) the stability of a target material is a key task in materials engineering. For example, during materials synthesis one aims to enhance the stability of a target phase relative to its precursor
Externí odkaz:
http://arxiv.org/abs/2404.05201