Model family
Multilayer perceptron
Fully connected feedforward network with no structural prior.
76articles
20Structural biology
31Materials & chemistry
25Astronomy
aix-00220
Neural network predicts how titanium alloy grains round off during annealing
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Neural networks trained on molecule pairs predict light absorption in stacks of fifty
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Classifiers label individual TESS brightness readings as planet transits or not
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Neural network models simulate how lead titanate loses its electrical polarisation on heating
aix-00213
Neural networks predict how much ultrasound energy drives magnesia dissolution
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Language models suggest ingredients and firing temperatures for inorganic materials recipes
aix-00209
Neural network turns Kaguya camera images into global maps of lunar surface chemistry
aix-00208
Neural network predicts atomic charges from bond lists, without atomic coordinates
aix-00206
Neural network designs five hard metallic glasses, all confirmed by experiment
aix-00205
Machine learning fitted to flexible molecules predicts oxidation potentials and hydration energies
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Neural networks stand in for a slow model of interstellar gas clouds
aix-00157
Microscopy and a trained classifier map which E. coli proteins clump together
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Protein language model and two classifiers predict where ATP binds on proteins
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Neural networks predict how zeolites take up carbon dioxide from structure alone
aix-00163
Peptides designed by simulation and machine learning sit at condensate surfaces
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Thin molybdenum disulfide memory cells tested, with reinforcement learning fitting their circuit model
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Neural network assigns protein domains to structural families from sequence alone
aix-00144
Machine-learned potentials trained to simulate copper ion conductor Cu7PS6 faster
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Meta-learning lets a cosmology emulator adapt to new galaxy depth maps quickly
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Regression models predict how graphene loading changes aluminium's electron emission
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Machine-learned potential predicts how chromium sulfide layers rearrange during exfoliation
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Neural network predicts protein pair binding strength from simplified molecular models
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Protein language model embeddings used to predict succinylation sites in proteins
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Machine learning scores short protein stretches that mark proteins for destruction
aix-00185
Protein language model trained to spot lactylated lysines in rice proteins
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Language model trained on protein sequences predicts shape and stability of disordered proteins
aix-00191
Neural network stands in for slow spectral modelling to read 64 stars' chemistry
aix-00129
Neural networks sort supernovae and estimate their distances from brightness alone
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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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Neural network potential used to simulate how calcium oxide melts under pressure
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Deep learning model predicts polymer heat-softening across 48,208 designed candidates
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Neural network reads protein surfaces to predict DNA and RNA binding
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Random atoms settle into molecules and crystals on a learned energy surface
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Protein language model embeddings tested against classical descriptors for spotting resistance genes
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Deep learning trained on robotic peptide mapping predicts where antibody proteins degrade
aix-00108
Oxidation potentials for 15,238 molecules assembled from quantum calculations and lab measurements
aix-00103
Neural network predicts yield of chitosan nanoparticles grown with olive leaf extract
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Simulations map three sodium–bismuth compounds, then models predict their heat-to-electricity performance
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Astronomers test pre-trained image models for sifting telescope alerts
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Weighing the Milky Way's disk reveals a mass excess along the Local Arm
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Neural networks speed up forecasts of what gravitational wave detections LISA will catch
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Neural networks estimate dark matter halo masses from a galaxy's neighbours
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Neural network potential used to simulate carbon dioxide moving inside porous frameworks
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Neural network predicts gas pressure in galaxy clusters from dark matter alone
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Neural network force field simulates how a ferroelectric crystal's molecules begin to spin
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Neural networks trained on atomic surroundings score how mutations change proteins
aix-00088
Neural network retrained to predict how crystals absorb light, from few examples
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Neural networks recover a simulated barred galaxy's gravity from one snapshot
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Neural networks read simulated galaxy cluster catalogues to estimate cosmological parameters
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Language models trained on protein sequences used to predict sugar-attachment sites
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Machine learning sifts three-colour infrared survey data for cold brown dwarfs
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Neural network sifts Gaia data for 160,146 stars born outside the Milky Way
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Software predictions map floppy stretches of touch-sensing PIEZO channels
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Neural networks sort eleven years of Mars plasma data into three regions
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Simulations map how surface atoms rearrange in alloys when molecules attach
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Neural network scores candidate composite microstructures in a strength–toughness design loop
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Neural networks rebuild cosmic expansion history to calibrate gamma-ray burst energies
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Machine learning predicts marine steel corrosion from seawater conditions and alloy make-up
aix-00065
Model predicts how fast an enzyme works on a substrate, with uncertainty attached
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Neural networks stand in for slow cosmology code in parameter fitting
aix-00058
Deep-learning model designs petrol blends from octane and soot targets
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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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Bayesian program merges X-ray diffraction data from three experiment types in one step
aix-00051
Ultrasound-treated clay bleaches cooking oil, with machine learning picking the settings
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Machine learning tool flags protein helices likely to bind DNA or RNA
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Neural networks stand in for slow galaxy clustering calculations in cosmology analyses
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Neural network reads simulated quasar light curves to estimate black hole properties
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Hubble and Webb images reveal a candidate massive touching binary star in WLM
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Four million simulated X-ray patterns used to test 21 crystal-symmetry classifiers
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Neural network built from physics equations extracts solder deformation coefficients
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Neural network trained on quantum calculations maps how gallium melts and freezes
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Neural networks read infrared spectra to work out how CO sits on platinum
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Neural network picks bright exploding stars from sky survey alerts and books telescope time
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