Zobrazeno 1 - 10
of 1 538
pro vyhledávání: '"Flores, A. G."'
Emergent Ferromagnetism at LaFeO3/SrTiO3 Interface Arising from Strain-induced Spin-State Transition
Autor:
Zhu, Menglin, Lanier, Joseph, Genlik, Sevim Polat, Flores, Jose G., Barbosa, Victor da Cruz Pinha, Randeria, Mohit, Woodward, Patrick M., Ghazisaeidi, Maryam, Yang, Fengyuan, Hwang, Jinwoo
Creating new interfacial magnetic states with desired functionalities is attractive for fundamental studies and spintronics applications. The emergence of interfacial magnetic phases demands the fabrication of pristine interfaces and the characteriza
Externí odkaz:
http://arxiv.org/abs/2405.12950
The minority-spin Fe/MgO interface states are at the Fermi level in density functional theory (DFT), but experimental evidence and GW calculations place them slightly higher in energy. This small shift can strongly influence tunneling magnetoresistan
Externí odkaz:
http://arxiv.org/abs/2404.08103
Autor:
Peng, Cheng, Yang, Xi, Chen, Aokun, Yu, Zehao, Smith, Kaleb E, Costa, Anthony B, Flores, Mona G, Bian, Jiang, Wu, Yonghui
Objective To solve major clinical natural language processing (NLP) tasks using a unified text-to-text learning architecture based on a generative large language model (LLM) via prompt tuning. Methods We formulated 7 key clinical NLP tasks as text-to
Externí odkaz:
http://arxiv.org/abs/2312.06099
Spin-orbit torques in ferromagnet/nonmagnet/ferromagnet trilayers are studied using a combination of symmetry analysis, circuit theory, semiclassical simulations, and first-principles calculations using the non-equilibrium Green's function method wit
Externí odkaz:
http://arxiv.org/abs/2312.04538
Autor:
Belashchenko, K. D., Flores, G. G. Baez, Fang, W., Kovalev, A. A., van Schilfgaarde, M., Haney, P. M., Stiles, M. D.
Publikováno v:
Phys. Rev. B 108, 144433 (2023)
Spin accumulation and spin current profiles are calculated for a disordered Pt film subjected to an in-plane electric current within the nonequilibrium Green function approach. In the bulklike region of the sample, this approach captures the intrinsi
Externí odkaz:
http://arxiv.org/abs/2309.00183
Autor:
Peng, Cheng, Yang, Xi, Chen, Aokun, Smith, Kaleb E, PourNejatian, Nima, Costa, Anthony B, Martin, Cheryl, Flores, Mona G, Zhang, Ying, Magoc, Tanja, Lipori, Gloria, Mitchell, Duane A, Ospina, Naykky S, Ahmed, Mustafa M, Hogan, William R, Shenkman, Elizabeth A, Guo, Yi, Bian, Jiang, Wu, Yonghui
There is enormous enthusiasm and concerns in using large language models (LLMs) in healthcare, yet current assumptions are all based on general-purpose LLMs such as ChatGPT. This study develops a clinical generative LLM, GatorTronGPT, using 277 billi
Externí odkaz:
http://arxiv.org/abs/2305.13523
Autor:
Olivo-Flores, Karla G.1, Couttolenc, Alan2, Suárez-Medellín, Jorge3, Trigos, Ángel4, Espinoza, César4 cespinoza@uv.mx
Publikováno v:
Electronic Journal of Biotechnology. Nov2024, Vol. 72, p12-19. 8p.
Autor:
Méndez-Flores, Orquídea G.1 (AUTHOR), Hernández-Kelly, Luisa C.2 (AUTHOR), Olivares-Bañuelos, Tatiana N.3 (AUTHOR), López-Ramírez, Gabriel1 (AUTHOR), Ortega, Arturo2 (AUTHOR) arortega@cinvestav.mx
Publikováno v:
Nutritional Neuroscience. Oct2024, Vol. 27 Issue 10, p1199-1210. 12p.
Publikováno v:
In Optical Materials November 2024 157 Part 1
Autor:
Hatamizadeh, Ali, Yin, Hongxu, Molchanov, Pavlo, Myronenko, Andriy, Li, Wenqi, Dogra, Prerna, Feng, Andrew, Flores, Mona G., Kautz, Jan, Xu, Daguang, Roth, Holger R.
Federated learning (FL) allows the collaborative training of AI models without needing to share raw data. This capability makes it especially interesting for healthcare applications where patient and data privacy is of utmost concern. However, recent
Externí odkaz:
http://arxiv.org/abs/2202.06924