Machine learning can be used to accurately reconstruct high-resolution, 3D images of rocks from 2D cross-sections, which opens the door to more detailed simulations.
Image processing
Posted inNews
New Proof That Accretion Disks Align with Their Black Holes
In the most detailed and highest-resolution black hole simulation to date, an international team of researchers showed the Bardeen-Petterson effect for the first time.
Posted inScience Updates
Space Weather in the Machine Learning Era
Space Weather: A Multi-disciplinary Approach; Leiden, Netherlands, 25–29 September 2017
Posted inResearch Spotlights
Tracking Volcanic Bombs in Three Dimensions
A new method allows researchers to precisely track in three dimensions bits of fragmented magma as they are expelled in explosive volcanic eruptions.
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Reply [to "Comment on 'Color Schemes for Improved Data Graphics,' by A. Light and P. J. Bartlein"]
By calling attention to the perception of data graphics among color-impaired readers, we hoped to raise awareness of an even more prevalent phenomenon: the misuse of spectral, or “rainbow,” color schemes. David B. Stephenson is quite right regarding the incidence of different forms of color-vision impairment, which varies among racial and ethnic groups and is […]
Posted inOpinions
Comment on "Color Schemes for Improved Data Graphics," by A. Light and P. J. Bartlein
As a color-blind climatologist, I very much appreciated the important color-awareness issues raised by A. Light and P. J. Bartlein in their recent Eos article titled “The End of the Rainbow? Color Schemes for Improved Data Graphics,” (85(40), 5 October 2004, p. 385). Meteorological and climate information is frequently communicated in the form of highly […]
Posted inFeatures
The End of the Rainbow? Color Schemes for Improved Data Graphics
Here's a simple guide to creating engaging, easy-to-read graphics to accompany your research.