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pro vyhledávání: '"Scott, Mary"'
Statistical heterogeneity is a measure of how skewed the samples of a dataset are. It is a common problem in the study of differential privacy that the usage of a statistically heterogeneous dataset results in a significant loss of accuracy. In feder
Externí odkaz:
http://arxiv.org/abs/2411.04579
Autor:
Ribet, Stephanie M., Varnavides, Georgios, Pedroso, Cassio C. S., Cohen, Bruce E., Ercius, Peter, Scott, Mary C., Ophus, Colin
In photon upconverting core-shell nanoparticles, structure strongly dictates performance. Conventional imaging in scanning transmission electron microscopy has sufficient resolution to probe the atomic structure of these nanoparticles, but contrast,
Externí odkaz:
http://arxiv.org/abs/2402.10084
Resolving single atoms in large-scale volumes has been a goal for atomic resolution microscopy for a long time. Electron microscopy has come close to this goal using a combination of advanced electron optics and computational imaging algorithms. Howe
Externí odkaz:
http://arxiv.org/abs/2311.02580
Machine learning techniques are attractive options for developing highly-accurate automated analysis tools for nanomaterials characterization, including high-resolution transmission electron microscopy (HRTEM). However, successfully implementing such
Externí odkaz:
http://arxiv.org/abs/2309.06122
Autor:
Varnavides, Georgios, Ribet, Stephanie M., Zeltmann, Steven E., Yu, Yue, Savitzky, Benjamin H., Byrne, Dana O., Allen, Frances I., Dravid, Vinayak P., Scott, Mary C., Ophus, Colin
Scanning transmission electron microscopy (STEM) has been extensively used for imaging complex materials down to atomic resolution. The most commonly employed STEM modality, annular dark-field imaging, produces easily-interpretable contrast, but is d
Externí odkaz:
http://arxiv.org/abs/2309.05250
Autor:
Scott, Mary Katherine
Publikováno v:
From Local to Global: Eco-entrepreneurship and Global Engagement with the Environment
Neural networks are promising tools for high-throughput and accurate transmission electron microscopy (TEM) analysis of nanomaterials, but are known to generalize poorly on data that is "out-of-distribution" from their training data. Given the limite
Externí odkaz:
http://arxiv.org/abs/2306.11853
Strong disorder has a crucial effect on the electronic structure in quantum materials by increasing localization, interactions, and modifying the density of states. Bi$_x$TeI films grown at room temperature and \SI{230}{K} exhibit dramatic magnetotra
Externí odkaz:
http://arxiv.org/abs/2305.16486