Fahima Islam
Oak Ridge National Laboratory
23 Papers
58 Citations
Fahima Islam is an academic researcher from Oak Ridge National Laboratory. The author has contributed to research in topics: Neutron & Spallation Neutron Source. The author has an hindex of 5, co-authored 18 publications. Previous affiliations of Fahima Islam include Missouri University of Science and Technology.
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Papers
Recent developments of MCViNE and its applications at SNS
Jiao Y. Y. Lin,Fahima Islam,Gabriele Sala,Ian Lumsden,Hillary L. Smith,Mathieu Doucet,Matthew B. Stone,Douglas L. Abernathy,Georg Ehlers,John F. Ankner,Garrett E. Granroth +10 more
- 12 Aug 2019
TL;DR: MCViNE as mentioned in this paper is an object-oriented Monte Carlo ray-tracing simulation software package that allows for flexible, hierarchical representations of sophisticated instrument components such as detector systems, and samples with a variety of shapes and scattering kernels.
Assessing the reproducibility and up-scaling of the synthesis of Er,Yb-doped NaYF4-based upconverting nanoparticles and control of size, morphology, and optical properties
Elina Andresen,Fahima Islam,Carsten Prinz,Philipp Gehrmann,Kai Licha,Jan Roik,Sebastian Recknagel,Ute Resch-Genger +7 more
TL;DR: In this article , the reproducibility, robustness, and upscalability of the synthesis of β-NaYF 4 :Yb, Er UCNPs via thermal decomposition were studied.
Multiphonon: Phonon Density of States tools for Inelastic Neutron Scattering Powder Data
TL;DR: The multiphonon python package calculates phonon density of states, a reduced representation of vibrational property of condensed matter from inelastic neutron scattering, which is usually the first step in determining the phonon properties of a material experimentally.
Vacancy-driven variations in the phonon density of states of fast neutron irradiated nuclear graphite
Iyad Al-Qasir,Anne A. Campbell,Gabriele Sala,Jiao Y. Y. Lin,Yongqiang Cheng,Fahima Islam,Douglas L. Abernathy,Matthew B. Stone +7 more
TL;DR: In this article, the phonon density of states of perfect and defected graphite supercells including different configurations of vacancies and interstitials were calculated using first-principles direct method.
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Sparse-view neutron CT reconstruction of irradiated fuel assembly using total variation minimization with Poisson statistics
TL;DR: The proposed method provides better reconstruction for both simulated and experimental case in terms of artifact reduction, higher SNR, and better spatial resolution compared to the reconstruction yielded by filtered back projection and SART reconstruction.
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