Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Celal Utku Deniz"'
Publikováno v:
Molecular Simulation. 46:650-659
The objective of this study is to investigate the hydrogen storage performances of three-dimensional periodic fullerene pillared graphene nanocomposites (FPGNs) consisting of covalently bonded fullerene units between graphene layers. Different forms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bae712c02afb8a0f30224a06c6b14320
https://doi.org/10.1080/08927022.2020.1758696
https://doi.org/10.1080/08927022.2020.1758696
Autor:
Celal Utku Deniz
Grand Canonical Monte Carlo (GCMC) simulations were used to evaluate the hydrogen storage performance of the 68 stable ZTCs which were recently identified. The relationship between the hydrogen storage capacities and densities, accessible pore volume
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72286062dccefb313dfd819f994d8289
https://hdl.handle.net/11491/6167
https://hdl.handle.net/11491/6167
The objective of this study is to investigate the methane adsorption performance of fullerene pillared graphene nanocomposites (FPGNs) with adjustable micro and meso porous morphology and high surface/weight ratios. Different types of fullerenes are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c990e07631715dac40b56cc09535300a
https://hdl.handle.net/11491/7270
https://hdl.handle.net/11491/7270
Hydrogen physisorption in lithium doped fullerene pillared graphene nanocomposites (Li-FPGNs) having tunable pore structures were examined under different temperature and pressure conditions via grand canonical Monte Carlo (GCMC) simulations. Differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddb124ac473aac0e25aa7c44dabe05a3
https://hdl.handle.net/11491/7251
https://hdl.handle.net/11491/7251
Publikováno v:
Energy & Fuels. 31:11932-11938
An approach for the stochastic reconstruction of petroleum fractions based on the joint use of artificial neural networks and genetic algorithms was developed. This hybrid approach reduced the time required for optimization of the composition of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2411d714af769476ffc5cde56801e7bb
https://doi.org/10.1021/acs.energyfuels.7b02311
https://doi.org/10.1021/acs.energyfuels.7b02311
Varying ratios of industrial byproduct of flue gas desulfurization gypsum and recycled polyethylene were used to prepare composite matrices in order to develop an eco-friendly material. Small ratios of maleic anhydride grafted polyethylene were used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2441f8a770f8f49c2a408074bbf64f0
https://hdl.handle.net/11491/555
https://hdl.handle.net/11491/555
Stochastic reconstruction (SR) methods are used to generate a series of molecules that mimic the properties of complex mixtures using partial analytical data. Determining a quantitative composition using these methods is limited by the property predi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3d24e7737708b75e7eaa535d44f090c
https://aperta.ulakbim.gov.tr/record/32343
https://aperta.ulakbim.gov.tr/record/32343
The selective oxidation of ammonia to hydroxylamine using titanium silicalite-1 as a catalyst with an increasing content range of 1–2.5 wt% TiO2 was systematically investigated in a batch reactor. The hydroxylamine yielded 33, 43, 52 and 62% at rea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28efeb7e5ede86a4e2064026ad7e7451
https://hdl.handle.net/11491/1602
https://hdl.handle.net/11491/1602