270 citations
- Northwestern UniversityUS8 papers
- Johns Hopkins UniversityUS4 papers
- National Aeronautics and Space AdministrationUS4 papers
- Ames Research CenterUS3 papers
- California Institute of TechnologyUS3 papers
- Cleveland State UniversityUS3 papers
- Cornell UniversityUS3 papers
- Georgia Institute of TechnologyUS3 papers
- Imperial College LondonGB3 papers
- Lawrence Berkeley National LaboratoryUS3 papers
- Ohio Aerospace InstituteUS3 papers
- Rutgers, The State University of New JerseyUS3 papers
6 papers · 1 filter
Morphological, nanostructural, and compositional evolution during phase separation of a model Ni-Al-Mo superalloy: Atom-probe tomographic experiments and lattice-kinetic Monte Carlo simulations
Yiyou Tu, Zugang Mao, Ronald D. Noebe +1
The details of phase separation of a Ni-6.5Al-9.9Mo aged at 978 K for aging times ranging from 0.125 to 1024 h are investigated by atom-probe tomography and lattice-kinetic Monte C…
Tuning the Performance of a Computational Persistent Homology Package
Alan Hylton, Gregory Henselman-Petrusek, Janche Sang +1
In recent years, persistent homology has become an attractive method for data analysis. It captures topological features, such as connected components, holes, and voids from point…
A Correlative Four-Dimensional Study of Phase Separation at the Subnanoscale to Nanoscale of a Ni-Al Alloy
Elizaveta Y. Plotnikov, Zugang Mao, Sung-Il Baik +6
The temporal evolution of ordered gamma prime (L12)-precipitates precipitating in a disordered gamma(f.c.c.) matrix is studied in extensive detail for a Ni-12.5 Al at.% alloy aged…
Aerogel scattering filters for cosmic microwave background observations
Thomas Essinger-Hileman, Charles L. Bennett, Lance Corbett +6
We present the design and performance of broadband and tunable infrared-blocking filters for millimeter and sub-millimeter astronomy composed of small scattering particles embedded…
Blockchain as a Service: A Decentralized and Secure Computing Paradigm
Gihan J. Mendis, Yifu Wu, Jin Wei +2
Thanks to the advances in machine learning, data-driven analysis tools have become valuable solutions for various applications. However, there still remain essential challenges to…
Work Function Characterization of the Directionally Solidified LaB6 VB2 Eutectic
Tyson C. Back, Steven B. Fairchild, John Boeckl +5
With its low work function and high mechanical strength, the LaB6/VB2 eutectic system is an interesting candidate for high performance thermionic emitters. For the development of d…