Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Alan C. R. Souza"'
Autor:
Riccardo Comin, Marek Hempel, Ricardo Pablo, Connor Occhialini, Xiang Ji, Ronaldo J. C. Batista, Jing Kong, Alysson A. Pinto, Luiz Gustavo Pimenta Martins, Luiz Gustavo Cançado, Mario S. C. Mazzoni, Tomas Palacios, Diego L. Silva, Alan B. de Oliveira, Matheus J. S. Matos, Rafael S. Alencar, Ang-Yu Lu, Jesse S. Smith, Alan C. R. Souza, Cong Su
Publikováno v:
Carbon. 173:744-757
Despite several theoretically proposed two-dimensional (2D) diamond structures, experimental efforts to obtain such structures are in initial stage. Recent high-pressure experiments provided significant advancements in the field, however, expected pr
Publikováno v:
RSC Advances. 11:27855-27859
In this work we apply first principles calculations to investigate the flat band phenomenology in twisted antimonene bilayer. We show that the relatively strong interlayer interactions which characterize this compound have profound effects in the eme
Autor:
Mario S. C. Mazzoni, Matheus J. S. Matos, Alan C. R. Souza, Tiago Campolina Barbosa, Helio Chacham, Bernardo R. A. Neves, Ana Paula M. Barboza, J. C. Brant
Publikováno v:
Carbon. 155:108-113
Scanning probe microscopy and ab initio calculations reveal modifications on the electronic and structural properties of graphene/h-BN heterostructures induced by compression. Using AFM and EFM techniques, with charge injection being made in the hete
Publikováno v:
Journal of physics. Condensed matter : an Institute of Physics journal. 32(16)
The control of geometric structure is a key aspect in the interplay between theoretical predictions and experimental realization in the science and applications of nanomaterials. This is particularly important in one-dimensional structures such as na
Autor:
Leidy J. Acevedo Jaimes, Janier Arias Garcia, Alan C. R. Souza, Luiz C. B. Torres, Cristiano Leite de Castro, Brayan Rene Acevedo Jaimes
Publikováno v:
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA).
This work evaluates strategies to reduce the computational cost of Gabriel graph-based classifiers, in order to make them more suitable for hardware implementation. An analysis of the impact of the bit precision provides insights on the model’s rob