Benjamin Shaffer
Arizona State University
13 Papers
17 Citations
Benjamin Shaffer is an academic researcher from Arizona State University. The author has contributed to research in topics: Creep & Engineering. The author has an hindex of 2, co-authored 9 publications.
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Papers
Wavefront sensor fusion via shallow decoder neural networks for aero-optical predictive control
Shervin Sahba,Christopher C. Wilcox,Austin McDaniel,Benjamin Shaffer,Steven L. Brunton,J. Nathan Kutz +5 more
- 03 Oct 2022
TL;DR: In this article , the authors proposed to fuse the merits of a common sensor in aero-optical sensing, the Shack-Hartmann wavefront sensor, with the increased spatial information of a Digital Holography wave front sensor, training on supersonic wind-tunnel wavefront data provided by the Aero-Effects Laboratory at the Air Force Research Laboratory Directed Energy Directorate.
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Elevated Temperature Nanoindentation Creep Study of Plastically Deformed and Spark Plasma Sintered UO2
David Frazer,David Frazer,Benjamin Shaffer,Bowen Gong,Pedro Peralta,Jie Lian,Peter Hosemann,Peter Hosemann +7 more
TL;DR: In this article, elevated temperature nano-indentation and nano-ententation creep testing is performed on UO2 samples with different microstructures, including nanocrystalline (NC) grains, as well as microcrystalline sample with different grain sizes and creep prestrains introduced at high temperatures.
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Nucleation and growth of voids in shock loaded copper bicrystals
Elizabeth Fortin,Benjamin Shaffer,Saul Opie,Pedro Peralta +3 more
- 04 Nov 2020
TL;DR: In this paper, the authors used electron backscattering diffraction and scanning electron microscopy to gather information on damage characteristics at and around the GB, with emphasis on growth of boundary and bulk voids.
Generalizable turbulent flow forecasting for adaptive optics control
TL;DR: In this article , the authors characterize the capability of artificial neural network predictive models for generalizable turbulence forecasting, particularly for use in predictive adaptive optics (AO) applications, which is a promising technology for optical propagation in high-disturbance and low-signal environments.
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