Deep
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Nanotechnology
Deep learning streamlines 2D material identification
Illustration of the DDPM-based data augmentation and classification framework for Raman spectra of 2D materials. Credit: Applied Materials Today (2024). DOI: 10.1016/j.apmt.2024.102499 Researchers have developed a deep learning-based approach that greatly streamlines the accurate identification and classification of two-dimensional (2D) materials using Raman spectroscopy. In comparison, traditional Raman analysis methods are time-consuming and require manual and subjective interpretation. This new…
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Biology
Deep learning improves the accuracy and efficiency of protein structure prediction
Overview of traditional and modern deep learning methods for protein structure prediction. Credit: MedComm – Future of Medicine (2024). DOI: 10.1002/mef2.96 A review exploring the transformative role of deep learning techniques in revolutionizing protein structure prediction in the rapidly evolving field of computational biology. The review, published in MedComm—Future Medicine, was led by Dr. Xi Yu and Dr. Tian Zhong…
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Environment
Ocean eddies pour extreme heat and cold into the deep ocean, teeming with life.
The mesopelagic twilight zone is rich in life. Clockwise from the top: mesopelagic jellyfish, pit vipers, lanternfish, larvae, copepods, and squid. Credit: Wikimedia/Drazen et al. CC BY-NC-ND On land, heat waves and cold waves are well known. However, the deep ocean also experiences long periods of high and low temperatures. Marine heat waves and cold waves can seriously damage marine…
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Earth
Research into the Afar mantle plume provides new insights into deep Earth processes
Schematic of mantle He concentrations and 3He/4He (Ra), showing how the Afar plume 3He/4He signature is generated. Credit: Communications Earth & Environment (2024). DOI: 10.1038/s43247-024-01675-2. https://www.nature.com/articles/s43247-024-01675-2 Advanced analysis of tiny bubbles of ancient gas trapped in volcanic rocks, combined with new geophysical modelling, has shed new light on a long-held hypothesis about the deep Earth. An international team of scientists…
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Science
Deep Design Produces ‘Butterfly’ Phase Mask for Light Sheet Fluorescence Microscopy
(A) With a conventional Gaussian beam, the illumination beam spreads at its edges due to diffraction. (B) Joint optimization scheme, where the network predicts the position of the beads in the focal plane. The deep learning network and the input phase mask are updated simultaneously based on a loss function. Credit: Chen Li et al. Researchers have presented a solution…
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