Zobrazeno 1 - 10
of 111 437
pro vyhledávání: '"Richard, G A"'
Autor:
Vyas, Kushal, Humayun, Ahmed Imtiaz, Dashpute, Aniket, Baraniuk, Richard G., Veeraraghavan, Ashok, Balakrishnan, Guha
Implicit neural representations (INRs) have demonstrated success in a variety of applications, including inverse problems and neural rendering. An INR is typically trained to capture one signal of interest, resulting in learned neural features that a
Externí odkaz:
http://arxiv.org/abs/2409.09566
Autor:
Gibson, Jason B., Janicki, Tesia D., Hire, Ajinkya C., Bishop, Chris, Lane, J. Matthew D., Hennig, Richard G.
Machine-learned interatomic potentials (MLIPs) are becoming an essential tool in materials modeling. However, optimizing the generation of training data used to parameterize the MLIPs remains a significant challenge. This is because MLIPs can fail wh
Externí odkaz:
http://arxiv.org/abs/2409.07610
Autor:
Dwek, Eli, Arendt, Richard G.
We present a procedure for calculating the heating of, and the infrared emission from, dust in a homogeneous spherical shell surrounded by a spherically symmetric source of radiation. The results are applicable to newly formed dust either in supernov
Externí odkaz:
http://arxiv.org/abs/2409.04391
Autor:
Iskauskas, Andrew, Cohen, Jamie A., Scarponi, Danny, Vernon, Ian, Goldstein, Michael, Klein, Daniel, White, Richard G., McCreesh, Nicky
The study of transmission and progression of human papillomavirus (HPV) is crucial for understanding the incidence of cervical cancers, and has been identified as a priority worldwide. The complexity of the disease necessitates a detailed model of HP
Externí odkaz:
http://arxiv.org/abs/2408.15805
Autor:
Stephan, Michel, Bouchard, Alexandre, Hodges, Timothy, Green, Richard G., Koukoulas, Triantafillos, Wu, Lixue, St-Gelais, Raphael
Short-term changes in the resonance frequency of silicon nitride (SiN) nanomechanical resonators can be measured very precisely due to low thermomechanical fluctuations resulting from large mechanical quality factors. These properties enable high-per
Externí odkaz:
http://arxiv.org/abs/2408.07612
Autor:
Henderson, Beth A., Casewell, Sarah L., Jordán, Andrés, Brahm, Rafael, Henning, Thomas, Gill, Samuel, Mayorga, L. C., Ziegler, Carl, Stassun, Keivan G., Goad, Michael R., Acton, Jack, Alves, Douglas R., Anderson, David R., Apergis, Ioannis, Armstrong, David J., Bayliss, Daniel, Burleigh, Matthew R., Dragomir, Diana, Gillen, Edward, Günther, Maximilian N., Hedges, Christina, Hesse, Katharine M., Hobson, Melissa J., Jenkins, James S., Jenkins, Jon M., Kendall, Alicia, Lendl, Monika, Lund, Michael B., McCormac, James, Moyano, Maximiliano, Osborn, Ares, Pinto, Marcelo Tala, Ramsay, Gavin, Rapetti, David, Saha, Suman, Seager, Sara, Trifonov, Trifon, Udry, Stéphane, Vines, Jose I., West, Richard G., Wheatley, Peter J., Winn, Joshua N., Zivave, Tafadzwa
We report the discovery of the most eccentric transiting brown dwarf in the brown dwarf desert, TOI02490b. The brown dwarf desert is the lack of brown dwarfs around main sequence stars within $\sim3$~AU and is thought to be caused by differences in f
Externí odkaz:
http://arxiv.org/abs/2408.04475
Autor:
Pollard, Joseph, Morris, Richard G.
The topological understanding of nematic liquid crystals is traditionally centered on singularities, or defects, and their classification via homotopy theory. However, this approach has ultimately proved insufficient to properly capture a range of co
Externí odkaz:
http://arxiv.org/abs/2408.01032
Autor:
Everitt, Richard G
Approximate Bayesian computation (ABC) is the most popular approach to inferring parameters in the case where the data model is specified in the form of a simulator. It is not possible to directly implement standard Monte Carlo methods for inference
Externí odkaz:
http://arxiv.org/abs/2407.18721
In the dynamic landscape of the Web, we are witnessing the emergence of the Web3 paradigm, which dictates that platforms should rely on blockchain technology and cryptocurrencies to sustain themselves and their profitability. Cryptocurrencies are cha
Externí odkaz:
http://arxiv.org/abs/2407.10614
Morphodynamic descriptions of fluid deformable surfaces are relevant for a range of biological and soft matter phenomena, spanning materials that can be passive or active, as well as ordered or topological. However, a principled, geometric formulatio
Externí odkaz:
http://arxiv.org/abs/2406.18014