Model family
Convolutional neural network
Convolutional architecture over gridded data.
65articles
21Structural biology
6Materials & chemistry
38Astronomy
aix-00219
Neural network supplies the sideways flows needed to measure the quiet Sun's magnetic energy
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Neural network measures rotation periods for Kepler's main-sequence stars
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Neural networks weigh cluster X-ray maps to estimate galaxy cluster masses
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Neural network ranks gravitational wave triggers in search for neutron star mergers
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Neural network trained on survey data retuned to spot transients for a liquid mirror telescope
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Image classifiers flag a gas kink in a young star's disc, pointing to a planet
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Astronomers map the mass of galaxy cluster Abell 2744 using lensed images
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Neural networks read a fast radio burst's dispersion straight from its spectrum
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Neural network turns Kaguya camera images into global maps of lunar surface chemistry
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Neural networks pick amino acid sequences for short peptides in protein binding sites
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Neural networks trained to find the cutting site on serpin proteins
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Deep learning sorts crystal structures for single-molecule magnet behaviour
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Neural network scans eleven years of night-sky images for mesospheric wave fronts
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Deep learning reads cryo-EM maps alongside AlphaFold3 models to build protein structures
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Neural network fills gaps in protein maps from raw diffraction data
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AI-labelled protein pairs used to test how well function predictors handle unknown proteins
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Diffusion model generates synthetic images of the Sun sorted by flare strength
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Meta-learning lets a cosmology emulator adapt to new galaxy depth maps quickly
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Five codes measured galaxy shapes in simulated Euclid images, one using neural networks
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Protein language model embeddings used to predict succinylation sites in proteins
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Neural network predicts nanostructure optics to design a two-colour laser collimator
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Machine learning scores short protein stretches that mark proteins for destruction
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A transformer model segments cryo-electron tomograms from three viewing directions at once
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Study tests whether AI clean-up of cryo-EM maps harms ligand density
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Neural networks sort supernovae and estimate their distances from brightness alone
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Phage proteins drawn as pictures, then sorted by image-recognition networks
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Classifying stars by type from a single wide-band telescope image
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Neural networks swap places with black hole image simulations, both directions
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Machine learning sorts mitochondrial proteins into three compartments from sequence alone
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Neural networks replace a slow statistical fit to find solar oscillations in Hα images
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Volunteer labels train a model to find asteroid trails in Hubble archive images
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Neural networks sort 400,000 JWST galaxies to trace when spirals and spheroids appeared
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Astronomers test pre-trained image models for sifting telescope alerts
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Neural networks trained on atomic surroundings score how mutations change proteins
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Neural networks trained on simulated radio bursts sort real bursts by shape
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Neural networks turn simulated cluster mass maps into X-ray and SZ images
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Changing the training penalty improves how a network spots beta-sheets in blurry protein maps
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Neural networks sift 812,118 quasar spectra for hidden gravitational lenses
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Neural network strips mains-power hum from LIGO data in about a second
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Neural networks sort eleven years of Mars plasma data into three regions
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Model predicts how fast an enzyme works on a substrate, with uncertainty attached
aix-00056
Deep learning tool predicts how single mutations weaken protein partnerships
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Neural networks sift 315,000 galaxy images for rare polar ring systems
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Eight machine learning methods sorted supernova gravitational wave signals by nuclear physics model
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Neural network maps cosmic voids, walls and filaments from sparse galaxy tracers
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Two unsupervised methods compress fast radio burst spectra into a handful of numbers
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Astronomers hunt dust-buried young star clusters in eleven nearby galaxies
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Machine learning predicts whether a dying massive star explodes, from its density profile
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Four million simulated X-ray patterns used to test 21 crystal-symmetry classifiers
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Neural network turns galaxy shape distortions into maps of invisible cluster mass
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Keck spectra pin down distances for six gravitational lenses found by a neural network
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Software spotted a nearby supernova and booked a telescope within minutes
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Cryo-EM maps show water shifting in actin filaments as they age
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Algorithm picks starting powders and temperatures for making inorganic materials
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Neural network reads a million star spectra to measure temperature and chemistry
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Neural network sifts Kepler signals and validates 301 new exoplanets
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Neural network sorts six hundred thousand noise blips in LIGO gravitational-wave data
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Neural network picks bright exploding stars from sky survey alerts and books telescope time
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Neural network segments 650 battery particles to measure their detachment after cycling
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Robotic lab with machine learning proposes and runs 353 inorganic synthesis experiments
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Neural network locates single protein particles in cryo-electron microscope images
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Cryo-tomography maps the myosin filament inside relaxed mouse heart muscle
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Researchers map the sixteen-part Commander complex using crystals, cryo-EM and AlphaFold2
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Deep learning turns raw NMR spectra into protein structures without human intervention
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