Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Scanning electron microscopes (SEMs) facilitate significant scientific advancements by enabling researchers to investigate the properties of biological specimens and materials. However, traditional ...
Scanning electron microscopy (SEM) images are already a common staple of battery research. Now, they can be paired with a simple algorithm to enable better prediction of lithium metal battery ...
TOKYO--(BUSINESS WIRE)--JEOL Ltd. (TOKYO:6951) (President & COO Izumi Oi) announced that it has developed semi-in-lens versions (i)/(is) which are optimal for the observation of semiconductor devices ...
A recent study published in the Journal of Geophysical Research: Machine Learning and Computation presents a new image enhancement process for scanning electron microscopy (SEM) data sets, called Deep ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Scanning electrochemical cell microscopy (SECCM) produces nanoscale-resolution ...
In any Tkinter program, the first thing you need is a window. This window will act as a container for your app. This line brings the Tkinter library into your program. We give it the nickname tk so we ...
Abstract: Editor’s notes: Reverse engineering modern complex integrated circuits (ICs) relies on extracting as much helpful information as possible, which requires extensive imaging technology support ...
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