Researchers look to deep learning techniques in order to streamline the time-consuming process of identifying 2D materials. Researchers have developed a deep learning-based approach that significantly ...
Engineers use 'deep learning' techniques to speed up simulations of novel two-dimensional materials to understand their characteristics and how they're affected by high temperature and radiation.
Ten year treatment complication outcomes of radical prostatectomy versus external beam radiation therapy versus brachytherapy for 1,503 patients with intermediate risk prostate cancer. This is an ASCO ...
Ischemic stroke, which occurs when a blood vessel in the brain gets blocked by a clot, is among the leading causes of death worldwide. Fortunately, surgeons now have access to advanced imaging ...
White matter hyperintensities (WMHs) on fluid-attenuated inversion recovery (FLAIR) images are imaging features in various neurological diseases and essential markers for clinical impairment and ...
A study published in Molecules and led by researchers from the Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences demonstrated how deep learning can ...
The findings are published in Applied Materials Today ("Deep learning assisted Raman spectroscopy for rapid identification of 2D materials"). "Sometimes, we only have a few samples of the 2D material ...
HOUSTON - (April 10, 2019) - Scientists are discovering new two-dimensional materials at a rapid pace, but they don't always immediately know what those materials can do. Researchers at Rice ...
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