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Masha Sosonkina

Researcher at Old Dominion University

Publications -  127
Citations -  2037

Masha Sosonkina is an academic researcher from Old Dominion University. The author has contributed to research in topics: Frequency scaling & Energy consumption. The author has an hindex of 19, co-authored 124 publications receiving 1515 citations. Previous affiliations of Masha Sosonkina include Iowa State University & Ames Laboratory.

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Recent developments in the general atomic and molecular electronic structure system.

TL;DR: A discussion of many of the recently implemented features of GAMESS (General Atomic and Molecular Electronic Structure System) and LibCChem (the C++ CPU/GPU library associated with GAMESS) is presented, which include fragmentation methods, hybrid MPI/OpenMP approaches to Hartree-Fock, and resolution of the identity second order perturbation theory.
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Collective Modes in Light Nuclei from First Principles

TL;DR: Results for abinitio no-core shell model calculations in a symmetry-adapted SU(3)-based coupling scheme demonstrate that collective modes in light nuclei emerge from first principles and suggest a pragmatic path forward to accommodate deformation-driven collective features in ab initio analyses when they dominate the nuclear landscape.
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N3LO NN interaction adjusted to light nuclei in ab exitu approach

TL;DR: In this paper, phase-equivalent transformations were used to adjust off-shell properties of similarity renormalization group evolved chiral effective field theory NN interaction (Idaho N3LO) to fit selected binding energies and spectra of light nuclei in an ab exitu approach.
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Scaling of ab-initio nuclear physics calculations on multicore computer architectures

TL;DR: This work discusses the scaling behavior of a state-of-the-art Configuration Interaction code for nuclear physics on modern multicore computer architectures and compares the performance of the pure MPI version with the hybrid MPI/OpenMP code on Cray XT4 and XT5 platforms.
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Computational nuclear quantum many-body problem: The UNEDF project

TL;DR: A wide range of UNEDF science results are showcased to illustrate that close associations among nuclear physicists, mathematicians, and computer scientists can lead to novel physics outcomes built on algorithmic innovations and computational developments.