Zobrazeno 1 - 10
of 28
pro vyhledávání: '"J. H. Pacheco-Sánchez"'
Publikováno v:
International Journal of Hydrogen Energy. 45:19505-19515
This work reports DFT calculations for the assessment of metallic decoration of boron substitution Zeolite Templated Carbon vacancy for hydrogen adsorption. The boron substitution on Zeolite Templated Carbon vacancy is characterized by the formation
Autor:
C. Hernandez-Tenorio, Beatriz García-Gaitán, J. Illescas, J.N. Balderas-Gutiérrez, J. H. Pacheco-Sánchez, Rosa Elvira Zavala-Arce
Publikováno v:
Revista Mexicana de Ingeniería Química. 19:1291-1299
In this work, the elasticity, morphology and chemical structure of chitosan-glycerol-EDGE films treated with glow discharge plasma (GDP), in an aqueous pyrrole solution for the removal of red dye No. 2, were studied. The treatment of the films with p
Autor:
Luis A. Desales-Guzmán, Karen De la Mora-Zarco, J. H. Pacheco-Sánchez, Frank J. Isidro-Ortega
Publikováno v:
International Journal of Hydrogen Energy. 45:6780-6792
We computationally investigate the hydrogen storage properties of carbyne C10-ring structure on either Dnh or D(n/2)h symmetry decorated with calcium (Ca) atoms adsorbed on its outer surface. The calculations are carried out on DFT-GGA-PW91 and DFT-G
Autor:
R. Alejo, Frank J. Isidro-Ortega, Luis A. Desales-Guzmán, J. H. Pacheco-Sánchez, J. Salvador Arellano
Publikováno v:
International Journal of Hydrogen Energy. 44:6437-6447
In this work, we report DFT calculations of the energy formation and stability of multi-vacancies in a unit of Zeolite Template Carbon (C39H9). We label as Vn the respective vacancy where n carbon atoms have been removed from the pristine C39H9 struc
Publikováno v:
Fuel. 236:1117-1127
Neural networks methodology is a tool that allows to get the potential energy curve in cases where the data dispersion does not fit a discrete distribution; hence, a binding energy fitting can be found with this methodology. A data distribution of th
Autor:
Hilda Moreno-Saavedra, J. H. Pacheco-Sánchez, J.N. Balderas-Gutiérrez, M. Villanueva-Castañeda, C. Hernandez-Tenorio
Publikováno v:
MRS Advances. 3:3847-3852
This work presents a study about synthesis of polypyrrole films electrochemically doped with iodine by luminescent discharge plasma in aqueous sodium sulfate solution, and its structural, morphological and electrical characterization. The synthesis i
Publikováno v:
International Journal of Hydrogen Energy. 42:30704-30717
Zeolite templated carbon (ZTC) nanostructure has generated significant interest due to its extremely large surfaces and surprisingly uniform micro-pores, for high hydrogen storage capacity. In the present work, we report calculations on decorating th
Publikováno v:
Neural Computing and Applications. 28:2843-2857
In this paper, we present an improved dynamic sampling approach (I-SDSA) for facing the multi-class imbalance problem. I-SDSA is a modification of the back-propagation algorithm, which is focused to make a better use of the training samples for impro
Publikováno v:
Neural Processing Letters. 42:603-617
In this paper a new dynamic over-sampling method is proposed, it is a hybrid method that combines a well known over-sampling technique (SMOTE) with the sequential back-propagation algorithm. The method is based on the back-propagation mean square err
Autor:
R. Alejo, Juan A. Antonio-Velázquez, Erika López-González, J. H. Pacheco-Sánchez, Juan Monroy-de-Jesús
Publikováno v:
Applied Sciences; Volume 6; Issue 7; Pages: 200
Applied Sciences, Vol 6, Iss 7, p 200 (2016)
Applied Sciences, Vol 6, Iss 7, p 200 (2016)
In this work, we developed a Selective Dynamic Sampling Approach (SDSA) to deal with the class imbalance problem. It is based on the idea of using only the most appropriate samples during the neural network training stage. The “average samples”ar