The disordered microstructure of an industrial carbonaceous char has been characterised using X-ray, neutron and electron diffraction techniques to obtain pair correlation functions. Whilst consistency has been observed between all three techniques, electron diffraction has been found to have advantages by allowing data to be collected over a large range of scattering angles as well as without interference from crystalline regions within the char. Based on the experimentally obtained pair correlation functions, Hybrid Reverse Monte Carlo (HRMC) simulations have also been performed to generate experimentally consistent nanoscale models of the disordered carbonaceous char. The model char structures comprise disordered and buckled graphitic sh...
The carbon atoms in defective graphites are arranged mainly in layers, with a spacing that is sample...
Extracting average crystallite dimension La and Lc in graphenic carbons from X-ray diffraction (XRD)...
© 2015 Elsevier B.V. All rights reserved. Two different Reverse Monte Carlo strategies, 'RMC++' and ...
We present microstructural analysis of a disordered carbonaceous solid using simulations that employ...
A hybrid reverse Monte Carlo (HRMC) algorithm, which incorporates both experimental and energy based...
Although X-ray diffraction is still mainly used to determine crystal structures, the demand for an u...
Diffraction methods for determining structure in non-crystalline materials often rely solely on the ...
Reverse Monte Carlo (RMC) modeling is a novel method of obtaining 3D information on atomic structure...
AbstractNeutron and X-ray diffraction are key techniques that are used to investigate the atomic and...
Atomic scale simulations are a key element of modern science in that they allow to understand, and e...
Extensive Reverse Monte Carlo (RMC) model calculations have been performed for several hydrogenated ...
A detailed atomistic model of amorphous diamond-like carbon was developed combining experimental neu...
Powder X-ray diffraction patterns from independent and piled honeycomb graphitic layers with finite ...
The variation of the crystallite structure of several coal chars during gasification in air and carb...
Atomistic modeling of disordered yet textured carbons is notoriously difficult even though it can pr...
The carbon atoms in defective graphites are arranged mainly in layers, with a spacing that is sample...
Extracting average crystallite dimension La and Lc in graphenic carbons from X-ray diffraction (XRD)...
© 2015 Elsevier B.V. All rights reserved. Two different Reverse Monte Carlo strategies, 'RMC++' and ...
We present microstructural analysis of a disordered carbonaceous solid using simulations that employ...
A hybrid reverse Monte Carlo (HRMC) algorithm, which incorporates both experimental and energy based...
Although X-ray diffraction is still mainly used to determine crystal structures, the demand for an u...
Diffraction methods for determining structure in non-crystalline materials often rely solely on the ...
Reverse Monte Carlo (RMC) modeling is a novel method of obtaining 3D information on atomic structure...
AbstractNeutron and X-ray diffraction are key techniques that are used to investigate the atomic and...
Atomic scale simulations are a key element of modern science in that they allow to understand, and e...
Extensive Reverse Monte Carlo (RMC) model calculations have been performed for several hydrogenated ...
A detailed atomistic model of amorphous diamond-like carbon was developed combining experimental neu...
Powder X-ray diffraction patterns from independent and piled honeycomb graphitic layers with finite ...
The variation of the crystallite structure of several coal chars during gasification in air and carb...
Atomistic modeling of disordered yet textured carbons is notoriously difficult even though it can pr...
The carbon atoms in defective graphites are arranged mainly in layers, with a spacing that is sample...
Extracting average crystallite dimension La and Lc in graphenic carbons from X-ray diffraction (XRD)...
© 2015 Elsevier B.V. All rights reserved. Two different Reverse Monte Carlo strategies, 'RMC++' and ...