Zobrazeno 1 - 10
of 10 755
pro vyhledávání: '"Dee, P."'
Autor:
Sinha, S., Lim, J., Li, Z., Kim, J. S., Hire, A. C., Dee, P. M., Kumar, R. S., Popov, D., Hemley, R. J., Hennig, R. G., Hirschfeld, P. J., Stewart, G. R., Hamlin, J. J.
The recent surprising discovery of superconductivity with critical temperature $T_c$ = 32 K in MoB$_2$ above 70 GPa has led to the search for related materials that may superconduct at similarly high $T_c$ values and lower pressures. We have studied
Externí odkaz:
http://arxiv.org/abs/2408.17416
Autor:
Kazemi, Mehran, Dikkala, Nishanth, Anand, Ankit, Devic, Petar, Dasgupta, Ishita, Liu, Fangyu, Fatemi, Bahare, Awasthi, Pranjal, Guo, Dee, Gollapudi, Sreenivas, Qureshi, Ahmed
With the continuous advancement of large language models (LLMs), it is essential to create new benchmarks to effectively evaluate their expanding capabilities and identify areas for improvement. This work focuses on multi-image reasoning, an emerging
Externí odkaz:
http://arxiv.org/abs/2406.09175
Autor:
Saad-Falcon, Alex, Bolding, Mark, Dee, James, Westafer, Ryan S., Denison, Douglas R., McCarty, Nael, Hunt, William D.
The cystic fibrosis transmembrane conductance regulator (CFTR) is an important membrane protein in vertebrates. The function of CFTR is to transport chloride ions across the cell membrane, which is known to require adenosine triphosphate (ATP). Where
Externí odkaz:
http://arxiv.org/abs/2404.09281
Autor:
Gibson, Jason B., Hire, Ajinkya C., Dee, Philip M., Barrera, Oscar, Geisler, Benjamin, Hirschfeld, Peter J., Hennig, Richard G.
Integrating deep learning with the search for new electron-phonon superconductors represents a burgeoning field of research, where the primary challenge lies in the computational intensity of calculating the electron-phonon spectral function, $\alpha
Externí odkaz:
http://arxiv.org/abs/2401.16611
Autor:
Hornung, Florian, Pfister, Ulrich, Bauer, Stephanie, Cyrlyson's, Dee Rocking, Wang, Dongze, Vijayan, Ponraj, Garcia Jr, Ailton J., da Silva, Saimon Filipe Covre, Jetter, Michael, Portalupi, Simone L., Rastelli, Armando, Michler, Peter
The integration of on-demand quantum emitters into photonic integrated circuits (PICs) has drawn much of attention in recent years, as it promises a scalable implementation of quantum information schemes. A central property for several applications i
Externí odkaz:
http://arxiv.org/abs/2310.11899
Autor:
Dee, P. M., Kim, J. S., Hire, A. C., Lim, J., Fanfarillo, L., Sinha, S., Hamlin, J. J., Hennig, R. G., Hirschfeld, P. J., Stewart, G. R.
Publikováno v:
Phys. Rev. B 109, 104520, March 22, 2024
Recent investigations into MoB$_{2}$ have unveiled a direct connection between a pressure-induced structural transition to a P6/mmm space group structure and the emergence of superconductivity, producing critical temperatures up to 32 K at 100 GPa. T
Externí odkaz:
http://arxiv.org/abs/2310.03818
Autor:
Liu, Yuhao, Panakkal, Pranavesh, Dee, Sylvia, Balakrishnan, Guha, Padgett, Jamie, Veeraraghavan, Ashok
Publikováno v:
Remote Sensing Applications: Society and Environment, Volume 36, 2024, 101332, ISSN 2352-9385
Cloud occlusion is a common problem in the field of remote sensing, particularly for retrieving Land Surface Temperature (LST). Remote sensing thermal instruments onboard operational satellites are supposed to enable frequent and high-resolution obse
Externí odkaz:
http://arxiv.org/abs/2309.12416
Autor:
Donte T. Boyd, Camille R. Quinn, Myles I. Durkee, Ed-Dee G. Williams, Andrea Constant, Durrell Washington, Sheretta T. Butler-Barnes, Aldenise P. Ewing
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Developing an understanding of the negative impact of discrimination is critical when examining the suicidality of Black young adults in the US. Suicide rates among Black young adults have increased at alarming rates. One of the r
Externí odkaz:
https://doaj.org/article/7a0a5814745546e08d7e8457c90f57ef
Autor:
Cherrat, El Amine, Raj, Snehal, Kerenidis, Iordanis, Shekhar, Abhishek, Wood, Ben, Dee, Jon, Chakrabarti, Shouvanik, Chen, Richard, Herman, Dylan, Hu, Shaohan, Minssen, Pierre, Shaydulin, Ruslan, Sun, Yue, Yalovetzky, Romina, Pistoia, Marco
Publikováno v:
Quantum 7, 1191 (2023)
Quantum machine learning has the potential for a transformative impact across industry sectors and in particular in finance. In our work we look at the problem of hedging where deep reinforcement learning offers a powerful framework for real markets.
Externí odkaz:
http://arxiv.org/abs/2303.16585
We propose a robust and computationally efficient algorithm to generically construct first return maps of dynamical systems from time series without the need for embedding. Typically, a first return map is constructed using a heuristic convenience (m
Externí odkaz:
http://arxiv.org/abs/2303.00383