Zobrazeno 1 - 10
of 25 816
pro vyhledávání: '"Jeffrey, G."'
Autor:
Kishikawa, Ryo, Harada, Nanase, Saito, Toshiki, Aalto, Susanne, Colzi, Laura, Gorski, Mark, Henkel, Christian, Mangum, Jeffrey G., Martín, Sergio, Muller, Sebastian, Nishimura, Yuri, Rivilla, Víctor M., Sakamoto, Kazushi, van der Werf, Paul, Viti, Serena
It is essential to examine the physical or chemical properties of molecular gas in starburst galaxies to reveal the underlying mechanisms characterizing starbursts. We used non-negative matrix factorization (NMF) to extract individual molecular or ph
Externí odkaz:
http://arxiv.org/abs/2411.03867
Autor:
Behrens, Erica, Mangum, Jeffrey G., Viti, Serena, Holdship, Jonathan, Huang, Ko-Yun, Bouvier, Mathilde, Butterworth, Joshua, Eibensteiner, Cosima, Harada, Nanase, Martin, Sergio, Sakamoto, Kazushi, Muller, Sebastien, Tanaka, Kunihiko, Colzi, Laura, Henkel, Christian, Meier, David S., Rivilla, Victor M., van der Werf, Paul P.
We use a neural network model and ALMA observations of HCN and HNC to constrain the physical conditions, most notably the cosmic-ray ionization rate (CRIR, zeta), in the Central Molecular Zone (CMZ) of the starburst galaxy NGC 253. Using output from
Externí odkaz:
http://arxiv.org/abs/2409.13821
With the growing adoption of Text-to-Image (TTI) systems, the social biases of these models have come under increased scrutiny. Herein we conduct a systematic investigation of one such source of bias for diffusion models: embedding spaces. First, bec
Externí odkaz:
http://arxiv.org/abs/2409.09569
Deep neural network (DNN)-based algorithms are emerging as an important tool for many physical and MAC layer functions in future wireless communication systems, including for large multi-antenna channels. However, training such models typically requi
Externí odkaz:
http://arxiv.org/abs/2409.03924
This work presents the use of graph learning for the prediction of multi-step experimental outcomes for applications across experimental research, including material science, chemistry, and biology. The viability of geometric learning for regression
Externí odkaz:
http://arxiv.org/abs/2408.05425
The usual starting point for understanding magnons in cuprate antiferromagnets such as La$_2$CuO$_4$ is a spin model incorporating cyclic exchange, which descends from a one-band Hubbard model, and has parameters taken from fits based on non-interact
Externí odkaz:
http://arxiv.org/abs/2407.20501
Autor:
Wang, Qiaochu, de la Torre, Alberto, Rodriguez-Rivera, Jose A., Podlesnyak, Andrey A., Tian, Wei, Aczel, Adam A., Matsuda, Masaaki, Ryan, Philip J., Kim, Jong-Woo, Rau, Jeffrey G., Plumb, Kemp W.
Competing interactions in frustrated magnets can give rise to highly degenerate ground states from which correlated liquid-like states of matter often emerge. The scaling of this degeneracy influences the ultimate ground state, with extensive degener
Externí odkaz:
http://arxiv.org/abs/2407.17559
Autor:
Onuorah, Ifeanyi John, Frassineti, Jonathan, Wang, Qiaochu, Isah, Muhammad Maikudi, Bonfa, Pietro, Rau, Jeffrey G., Rodriguez-Rivera, J. A., Kolesnikov, A. I., Mitrovic, Vesna F., Sanna, Samuele, Plumb, Kemp W.
A comprehensive set of muon spin spectroscopy and neutron scattering measurements supported by ab-initio and model Hamiltonian simulations have been used to investigate the magnetic ground state of Na$_2$PrO$_3$. $\mu$SR reveals N\'eel antiferromagne
Externí odkaz:
http://arxiv.org/abs/2407.12935
Autor:
Yadav, Lalit, Bag, Rabindranath, Dhakal, Ramesh, Winter, Stephen M., Rau, Jeffrey G., Kolesnikov, Alexander I., Podlesnyak, Andrey A., Brown, Craig M., Butch, Nicholas P., Graf, David, Gingras, Michel J. P., Haravifard, Sara
In this study, a novel material from the rare-earth based breathing pyrochlore family, Ba3Tm2Zn5O11, was successfully synthesized. Powder X-ray diffraction and high-resolution powder neutron diffraction confirmed phase purity and crystal structure, w
Externí odkaz:
http://arxiv.org/abs/2407.00222
Asynchronous Bayesian optimization is a recently implemented technique that allows for parallel operation of experimental systems and disjointed workflows. Contrasting with serial Bayesian optimization which individually selects experiments one at a
Externí odkaz:
http://arxiv.org/abs/2406.15291