Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Niaz Abdolrahim"'
Publikováno v:
npj Computational Materials, Vol 9, Iss 1, Pp 1-12 (2023)
Abstract In current in situ X-ray diffraction (XRD) techniques, data generation surpasses human analytical capabilities, potentially leading to the loss of insights. Automated techniques require human intervention, and lack the performance and adapta
Externí odkaz:
https://doaj.org/article/9c40a4753bed4c8192d7ba52294e273d
Author Correction: Automated classification of big X-ray diffraction data using deep learning models
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/f748273eb1024b42ae2e1d7d5d3e72f3
Autor:
Ali K. Shargh, Niaz Abdolrahim
Publikováno v:
npj Computational Materials, Vol 9, Iss 1, Pp 1-10 (2023)
Abstract The high permeability and strong selectivity of nanoporous silicon nitride (NPN) membranes make them attractive in a broad range of applications. Despite their growing use, the strength of NPN membranes needs to be improved for further exten
Externí odkaz:
https://doaj.org/article/7e3290c9a96645e1ad5d73b2649e6bca
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract We present a framework based on non-equilibrium molecular dynamics (NEMD) to reproduce the phase transformation event of Aluminum under ramp compression loading. The simulated stress-density response, virtual x-ray diffraction patterns, and
Externí odkaz:
https://doaj.org/article/48a7babc5600470b8703ed0677e07f34
Current in-situ X-ray diffraction (XRD) techniques generate data over human analytical capabilities – leading to the loss of novel insights. Automated techniques require human intervention, and lack the performance and adaptability needed for mater
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5854bed7fdd46c4c0ea8faedc2c02e41
https://doi.org/10.21203/rs.3.rs-2814412/v1
https://doi.org/10.21203/rs.3.rs-2814412/v1
Publikováno v:
Journal of Materials Research. 35:2620-2628
In this study, uniaxial tensile loading simulations were performed on several single crystalline copper nanoporous (NP) structures with varying relative density (RD) via molecular dynamics simulations. From the results, two distinctive deformation pa
Publikováno v:
Journal of Nuclear Materials. 574:154199
Autor:
Ali K. Shargh, Niaz Abdolrahim
Publikováno v:
Ceramics International. 45:23070-23077
We use atomistic simulations to investigate the mechanical behavior as well as the structural changes of single crystalline β-Si3N4 nanomembrane upon tensile loading. Our results suggest that upon loading along [ 1 ¯ 2 1 ¯ 0 ], the nanomembrane ex
Autor:
Lijie He, Niaz Abdolrahim
Publikováno v:
Journal of Engineering Materials and Technology. 144
Inspired by the development of strong and ductile composite and gradient materials over the past decade, here, we report the investigation of a graded nanoporous (NP) structure utilizing molecular dynamics simulations. The structure is generated by i
Autor:
Lijie He, Niaz Abdolrahim
Publikováno v:
ACS Applied Nano Materials. 2:1890-1897
We use molecular dynamics simulations to demonstrate a homogeneous two-step structural phase transformation in the molybdenum (Mo) phase of a Mo/Cu bicontinuous intertwined composite during tensile loading. The Mo atoms first transform from a ⟨001