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pro vyhledávání: '"Robles, J. A."'
Publikováno v:
Journal of Physics: Condensed Matter 19, 17 (2007) 176222-176242
Theoretical positron lifetime values have been calculated systematically for most of the elements of the Periodic Table. Self-consistent and non-self-consistent schemes have been used for the calculation of the electronic structure in the solid, as w
Externí odkaz:
http://arxiv.org/abs/2402.04761
Publikováno v:
Solid State Sciences 14, 7 (2012) 982-987
Positron lifetimes have been calculated in bulk and monovacancies for most of the elements of the periodic table. Self-consistent and non-self-consistent schemes have been used for the calculation of the electronic structure in the solid, as well as
Externí odkaz:
http://arxiv.org/abs/2402.04847
Autor:
Kons, C., Krycka, K. L., Robles, J., Ntallis, Nikolaos, Pereiro, Manuel, Phan, Manh-Huong, Srikanth, Hariharan, Borchers, J. A., Arena, D. A.
We investigate the spatial distribution of spin orientation in magnetic nanoparticles consisting of hard and soft magnetic layers. The nanoparticles are synthesized in a core / shell spherical morphology where the magnetically hard, high anisotropy l
Externí odkaz:
http://arxiv.org/abs/2105.11501
Autor:
Ruiz-Robles, J. F., Longoria-Hernandez, A. M., Gerling-Cervantes, N. A., Sanches-Diaz, L. E., Reynada-Hernandez, E., Ivlev, B. I., Ruiz-Garcia, J.
The effect of polyvalent molecular cations, such as spermine, on the condensation of DNA into very well-defined toroidal shapes have been well studied and understood. However, a great effort has been made trying to obtain similar condensed structures
Externí odkaz:
http://arxiv.org/abs/2106.08399
Akademický článek
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Autor:
Barroeta Robles, J., Hubert, P.
Publikováno v:
In Composites Part A December 2023 175
Publikováno v:
In Composites Part A November 2023 174
Autor:
Maderuelo-Solera, R., Ledesma-Muñoz, A.L., García-Sancho, C., Cecilia, J.A., Infantes-Molina, A., Mérida-Robles, J., Maireles-Torres, P., Moreno-Tost, R.
Publikováno v:
In Catalysis Today 1 September 2023 421
Autor:
Robles, J. Gomez, Vanschoren, J.
Reinforcement learning (RL) is a goal-oriented learning solution that has proven to be successful for Neural Architecture Search (NAS) on the CIFAR and ImageNet datasets. However, a limitation of this approach is its high computational cost, making i
Externí odkaz:
http://arxiv.org/abs/1911.03769
Publikováno v:
In Measurement 31 May 2023 213