What the AI was for
Property prediction
Predicting a measurable property of an existing object.
85articles
22Structural biology
44Materials & chemistry
19Astronomy
aix-00218
Sparse regression fits crystal force constants to model heat flow and vibrations
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Neural network supplies the sideways flows needed to measure the quiet Sun's magnetic energy
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Neural network predicts how titanium alloy grains round off during annealing
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Neural network measures rotation periods for Kepler's main-sequence stars
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Neural networks trained on molecule pairs predict light absorption in stacks of fifty
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Neural networks weigh cluster X-ray maps to estimate galaxy cluster masses
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Neural network models simulate how lead titanate loses its electrical polarisation on heating
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Neural networks predict how much ultrasound energy drives magnesia dissolution
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Neural networks read a fast radio burst's dispersion straight from its spectrum
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Language models suggest ingredients and firing temperatures for inorganic materials recipes
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Neural network turns Kaguya camera images into global maps of lunar surface chemistry
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Neural network predicts atomic charges from bond lists, without atomic coordinates
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Neural network designs five hard metallic glasses, all confirmed by experiment
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Machine learning fitted to flexible molecules predicts oxidation potentials and hydration energies
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Machine learning assigns atomic charges to size up polarisation in bismuth vanadate conductors
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Structure predictions place an uncharacterised human protein in the BRICHOS family
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Microscopy and a trained classifier map which E. coli proteins clump together
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Neural network predicts crystal density of candidate explosives from molecular structure
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AlphaFold models used to map membrane-crossing segments in human proteins
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Deep learning sorts crystal structures for single-molecule magnet behaviour
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Testing whether symmetry-aware neural networks can tell apart atomic arrangements in perovskites
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Neural networks predict how zeolites take up carbon dioxide from structure alone
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Peptides designed by simulation and machine learning sit at condensate surfaces
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AlphaFold's confidence scores used to predict which disordered protein segments bind LC8
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Machine learning predicts strength of PLA plastic filled with boron nitride flakes
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Machine learning tested against three definitions of protein shape-shifting
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Machine learning ranks stable materials by predicted superconducting temperature
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Robot laser-heats thin films while software picks each next heating condition
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Machine learning predicts nanofibre thickness from electrospinning settings, tested against new scaffolds
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Machine learning picked catalyst recipes for a loop of 44 lab cycles
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Regression models predict how graphene loading changes aluminium's electron emission
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Five codes measured galaxy shapes in simulated Euclid images, one using neural networks
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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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Teaching protein language models to rank mutants from a few dozen lab measurements
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Neural network predicts nanostructure optics to design a two-colour laser collimator
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Language model trained on protein sequences predicts shape and stability of disordered proteins
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Machine-learned force field used to model two crystal forms of formamide
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Neural network stands in for slow spectral modelling to read 64 stars' chemistry
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Neural networks sort supernovae and estimate their distances from brightness alone
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Software predictors compare protein floppiness across retinal disease protein sets
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Neural networks swap places with black hole image simulations, both directions
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Deep learning model predicts polymer heat-softening across 48,208 designed candidates
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A compact way to describe molecules speeds up machine learning of their properties
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Zero-padding lets one neural network encode crystals with differing element counts
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Deep learning trained on robotic peptide mapping predicts where antibody proteins degrade
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Oxidation potentials for 15,238 molecules assembled from quantum calculations and lab measurements
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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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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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Machine learning reads planet-forming disk masses from archival ALMA observations
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Neural networks trained on atomic surroundings score how mutations change proteins
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Neural network retrained to predict how crystals absorb light, from few examples
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Neural networks read simulated galaxy cluster catalogues to estimate cosmological parameters
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Machine learning sifts three-colour infrared survey data for cold brown dwarfs
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Neural networks sift 812,118 quasar spectra for hidden gravitational lenses
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Software predictions map floppy stretches of touch-sensing PIEZO channels
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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
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Model predicts how fast an enzyme works on a substrate, with uncertainty attached
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Adding a term for the unfolded protein sharpens AI stability predictions
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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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Ultrasound-treated clay bleaches cooking oil, with machine learning picking the settings
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Two neural networks predict how heat shrinks the band gap of silver-based crystals
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Neural network reads simulated quasar light curves to estimate black hole properties
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Machine-learnt electron densities drive molecular dynamics of a gold–saltwater interface
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Statistical model of 5,441 perovskite solar cells predicts efficiency and suggests recipes
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GPT-4 reads band gap values from paper sentences to train better predictors
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Neural network built from physics equations extracts solder deformation coefficients
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Machine learning picked which engineered enzymes to build for fatty alcohol production
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Neural network reads a million star spectra to measure temperature and chemistry
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Machine learning picked which shape-memory alloys to make next, round by round
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Transformer model predicts how gas-storing crystals take up gases, replacing slow simulations
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A learning algorithm ran a synchrotron beamline to find a phase-change material
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Robotic lab with machine learning proposes and runs 353 inorganic synthesis experiments
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Gaussian process models pick light-sensitive ion channels that reach mammalian cell membranes
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Neural network predicts protein atom positions from amino acid sequence alone
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Robot lab and learning agent redesign an enzyme to survive higher temperatures
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Deep learning turns raw NMR spectra into protein structures without human intervention
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