Articles
All 200 articles
aix-00217
Reconstructing the early universe's density field with a smoothed map of cosmic structure
aix-00218
Sparse regression fits crystal force constants to model heat flow and vibrations
aix-00219
Neural network supplies the sideways flows needed to measure the quiet Sun's magnetic energy
aix-00220
Neural network predicts how titanium alloy grains round off during annealing
aix-00221
Neural network measures rotation periods for Kepler's main-sequence stars
aix-00222
Neural networks trained on molecule pairs predict light absorption in stacks of fifty
aix-00223
Neural networks weigh cluster X-ray maps to estimate galaxy cluster masses
aix-00227
Machine learning sifts a million candidate moving objects to find 258 new cool stars
aix-00235
Random forest sorts 130 million Magellanic Cloud sources into ten classes
aix-00238
Classifiers label individual TESS brightness readings as planet transits or not
aix-00216
Neural network models simulate how lead titanate loses its electrical polarisation on heating
aix-00215
Neural network ranks gravitational wave triggers in search for neutron star mergers
aix-00213
Neural networks predict how much ultrasound energy drives magnesia dissolution
aix-00245
Neural network trained on survey data retuned to spot transients for a liquid mirror telescope
aix-00248
Image classifiers flag a gas kink in a young star's disc, pointing to a planet
aix-00251
Astronomers map the mass of galaxy cluster Abell 2744 using lensed images
aix-00254
Neural networks read a fast radio burst's dispersion straight from its spectrum
aix-00210
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
aix-00204
Neural networks stand in for a slow model of interstellar gas clouds
aix-00195
Researchers read an AlphaFold model of honey bee vitellogenin's tail end
aix-00159
Machine learning assigns atomic charges to size up polarisation in bismuth vanadate conductors
aix-00158
Structure predictions place an uncharacterised human protein in the BRICHOS family
aix-00157
Microscopy and a trained classifier map which E. coli proteins clump together
aix-00156
Protein language model and two classifiers predict where ATP binds on proteins
aix-00155
Neural network predicts crystal density of candidate explosives from molecular structure
aix-00154
AlphaFold models used to map membrane-crossing segments in human proteins
aix-00153
Neural networks pick amino acid sequences for short peptides in protein binding sites
aix-00152
Neural networks trained to find the cutting site on serpin proteins
aix-00151
Classifier sorts true from false AlphaFold predictions of human protein pairs
aix-00150
Deep learning sorts crystal structures for single-molecule magnet behaviour
aix-00149
AlphaFold2 used to predict the shapes of hepatitis E virus copying proteins
aix-00147
Testing whether symmetry-aware neural networks can tell apart atomic arrangements in perovskites
aix-00160
Neural networks predict how zeolites take up carbon dioxide from structure alone
aix-00161
Web tool builds and energy-minimises silver, copper oxide and titania nanoparticles
aix-00162
Software splits coiled-coil proteins into short windows for AlphaFold to model
aix-00163
Peptides designed by simulation and machine learning sit at condensate surfaces
aix-00164
Five structure-prediction models tested on 509 protein–peptide pairs under altered inputs
aix-00165
Thin molybdenum disulfide memory cells tested, with reinforcement learning fitting their circuit model
aix-00166
Neural network assigns protein domains to structural families from sequence alone
aix-00167
Neural network scans eleven years of night-sky images for mesospheric wave fronts
aix-00168
Deep learning reads cryo-EM maps alongside AlphaFold3 models to build protein structures
aix-00169
AlphaFold's confidence scores used to predict which disordered protein segments bind LC8
aix-00170
Machine learning predicts strength of PLA plastic filled with boron nitride flakes
aix-00171
Neural network fills gaps in protein maps from raw diffraction data
aix-00172
Machine learning tested against three definitions of protein shape-shifting
aix-00146
Machine learning ranks stable materials by predicted superconducting temperature
aix-00145
Repeating-coil proteins designed from random sequences using AlphaFold2 in an evolution loop
aix-00144
Machine-learned potentials trained to simulate copper ion conductor Cu7PS6 faster
aix-00143
Software models of two cancer proteins used to rank mutations by likely effect
aix-00142
Seven machine-learned water models test how density functional choice shapes water's behaviour
aix-00140
Model labels which protein residues are active sites and what job they do
aix-00139
Robot laser-heats thin films while software picks each next heating condition
aix-00138
AI-labelled protein pairs used to test how well function predictors handle unknown proteins
aix-00136
Diffusion model generates synthetic images of the Sun sorted by flare strength
aix-00173
Machine learning predicts nanofibre thickness from electrospinning settings, tested against new scaffolds
aix-00174
Simulations probe shape-shifting of opium poppy's reticuline-flipping enzyme using a predicted structure
aix-00176
Neural network potentials trained by repeatedly checking where models disagree on hydrogen sticking to copper
aix-00178
Machine learning picked catalyst recipes for a loop of 44 lab cycles
aix-00135
Clustering algorithm sorts cluster stars from background stars in thirteen open clusters
aix-00134
Meta-learning lets a cosmology emulator adapt to new galaxy depth maps quickly
aix-00133
Regression models predict how graphene loading changes aluminium's electron emission
aix-00132
Five codes measured galaxy shapes in simulated Euclid images, one using neural networks
aix-00131
Machine-learned potential predicts how chromium sulfide layers rearrange during exfoliation
aix-00130
Machine-learned potential makes long simulations of CO hydrogenation on rhodium affordable
aix-00179
Neural network predicts protein pair binding strength from simplified molecular models
aix-00180
Teaching protein language models to rank mutants from a few dozen lab measurements
aix-00181
Protein language model embeddings used to predict succinylation sites in proteins
aix-00183
Neural network predicts nanostructure optics to design a two-colour laser collimator
aix-00184
Machine learning scores short protein stretches that mark proteins for destruction
aix-00185
Protein language model trained to spot lactylated lysines in rice proteins
aix-00186
Language model trained on protein sequences predicts shape and stability of disordered proteins
aix-00187
Machine-learned force field used to model two crystal forms of formamide
aix-00188
Machine learning sorts antibody heavy chains by the germ they target
aix-00189
Benchmarking AI tools that predict and design peptides for cell-surface receptors
aix-00190
A transformer model segments cryo-electron tomograms from three viewing directions at once
aix-00191
Neural network stands in for slow spectral modelling to read 64 stars' chemistry
aix-00192
Study tests whether AI clean-up of cryo-EM maps harms ligand density
aix-00193
Researchers train a machine-learned force model to simulate carbon nanotubes' strength and heat limits
aix-00194
Diffusion model generates glass and silicon structures to order from target properties
aix-00129
Neural networks sort supernovae and estimate their distances from brightness alone
aix-00128
Phage proteins drawn as pictures, then sorted by image-recognition networks
aix-00126
Pretrained potentials give a structure search a head start in finding atomic arrangements
aix-00125
Classifying stars by type from a single wide-band telescope image
aix-00124
Software predictors compare protein floppiness across retinal disease protein sets
aix-00123
Neural networks swap places with black hole image simulations, both directions
aix-00122
Random Forest sorts 9,446 white dwarfs by type from Gaia spectra
aix-00121
Machine learning sorts mitochondrial proteins into three compartments from sequence alone
aix-00119
Neural network potential used to simulate how calcium oxide melts under pressure
aix-00118
Neural networks replace a slow statistical fit to find solar oscillations in Hα images
aix-00117
Deep learning model predicts polymer heat-softening across 48,208 designed candidates
aix-00116
Neural network reads protein surfaces to predict DNA and RNA binding
aix-00115
A shared test set for predicting which enzyme carries out a reaction
aix-00114
A compact way to describe molecules speeds up machine learning of their properties
aix-00113
Random atoms settle into molecules and crystals on a learned energy surface
aix-00112
Protein language model embeddings tested against classical descriptors for spotting resistance genes
aix-00111
Zero-padding lets one neural network encode crystals with differing element counts
aix-00110
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-00107
Machine learning sorts plant protein sequences into disease-resistance proteins or not
aix-00106
Volunteer labels train a model to find asteroid trails in Hubble archive images
aix-00104
Neural networks sort 400,000 JWST galaxies to trace when spirals and spheroids appeared
aix-00103
Neural network predicts yield of chitosan nanoparticles grown with olive leaf extract
aix-00101
Simulations map three sodium–bismuth compounds, then models predict their heat-to-electricity performance
aix-00100
Astronomers test pre-trained image models for sifting telescope alerts
aix-00099
Weighing the Milky Way's disk reveals a mass excess along the Local Arm
aix-00097
Neural networks speed up forecasts of what gravitational wave detections LISA will catch
aix-00096
Two protein design models redesigned T cell receptor contact points on solved structures
aix-00095
Neural networks estimate dark matter halo masses from a galaxy's neighbours
aix-00094
Neural network potential used to simulate carbon dioxide moving inside porous frameworks
aix-00093
Neural network predicts gas pressure in galaxy clusters from dark matter alone
aix-00092
Cryo-EM maps and AlphaFold models explain how two bacterial helper proteins activate an enzyme
aix-00091
Neural network force field simulates how a ferroelectric crystal's molecules begin to spin
aix-00090
Machine learning reads planet-forming disk masses from archival ALMA observations
aix-00089
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
aix-00087
Neural networks recover a simulated barred galaxy's gravity from one snapshot
aix-00086
Neural networks trained on simulated radio bursts sort real bursts by shape
aix-00084
Neural networks read simulated galaxy cluster catalogues to estimate cosmological parameters
aix-00083
A compact neural network learns to generate shape-shifting protein structures
aix-00082
Neural networks turn simulated cluster mass maps into X-ray and SZ images
aix-00081
Language models trained on protein sequences used to predict sugar-attachment sites
aix-00080
Machine learning sifts three-colour infrared survey data for cold brown dwarfs
aix-00079
Changing the training penalty improves how a network spots beta-sheets in blurry protein maps
aix-00078
Simulated water in graphene gaps shows acid's charge hugging the surface
aix-00077
Neural networks sift 812,118 quasar spectra for hidden gravitational lenses
aix-00076
Neural network strips mains-power hum from LIGO data in about a second
aix-00075
Neural network sifts Gaia data for 160,146 stars born outside the Milky Way
aix-00074
Software predictions map floppy stretches of touch-sensing PIEZO channels
aix-00073
Neural networks sort eleven years of Mars plasma data into three regions
aix-00072
Attention patterns inside a protein language model used to cut sequences into reusable units
aix-00071
Simulations map how surface atoms rearrange in alloys when molecules attach
aix-00070
Neural network scores candidate composite microstructures in a strength–toughness design loop
aix-00069
Neural networks rebuild cosmic expansion history to calibrate gamma-ray burst energies
aix-00068
Machine learning predicts marine steel corrosion from seawater conditions and alloy make-up
aix-00066
Machine learning sifts 25,000 known materials for quantum-technology host candidates
aix-00065
Model predicts how fast an enzyme works on a substrate, with uncertainty attached
aix-00063
Adding a term for the unfolded protein sharpens AI stability predictions
aix-00062
A single neural network stands in for quantum calculations across 45 elements
aix-00061
A search engine for radio galaxy shapes, built on a fine-tuned image-text model
aix-00060
Neural networks stand in for slow cosmology code in parameter fitting
aix-00059
Machine-learnt stand-in for a planet model cuts interior inference from 42 hours to 8 minutes
aix-00058
Deep-learning model designs petrol blends from octane and soot targets
aix-00057
Genetic algorithm trims chemical reaction lists for hot Jupiter atmosphere models
aix-00056
Deep learning tool predicts how single mutations weaken protein partnerships
aix-00055
Neural networks sift 315,000 galaxy images for rare polar ring systems
aix-00054
Bayesian program merges X-ray diffraction data from three experiment types in one step
aix-00052
Benchmark measures how well AlphaFold predicts antibody-antigen complex structures
aix-00051
Ultrasound-treated clay bleaches cooking oil, with machine learning picking the settings
aix-00050
Machine learning tool flags protein helices likely to bind DNA or RNA
aix-00049
Eight machine learning methods sorted supernova gravitational wave signals by nuclear physics model
aix-00048
Software reconstructs supernova spectra and physical properties from brightness measurements alone
aix-00047
Neural networks stand in for slow galaxy clustering calculations in cosmology analyses
aix-00046
Two neural networks predict how heat shrinks the band gap of silver-based crystals
aix-00045
Neural network reads simulated quasar light curves to estimate black hole properties
aix-00044
Machine-learnt electron densities drive molecular dynamics of a gold–saltwater interface
aix-00043
Neural network maps cosmic voids, walls and filaments from sparse galaxy tracers
aix-00042
Two unsupervised methods compress fast radio burst spectra into a handful of numbers
aix-00041
Astronomers hunt dust-buried young star clusters in eleven nearby galaxies
aix-00040
Statistical model of 5,441 perovskite solar cells predicts efficiency and suggests recipes
aix-00039
Machine learning predicts whether a dying massive star explodes, from its density profile
aix-00037
Hubble and Webb images reveal a candidate massive touching binary star in WLM
aix-00036
Four million simulated X-ray patterns used to test 21 crystal-symmetry classifiers
aix-00035
GPT-4 reads band gap values from paper sentences to train better predictors
aix-00034
Kepler planets sorted by host star's Galactic orbit show differing eccentricities
aix-00033
Neural network built from physics equations extracts solder deformation coefficients
aix-00032
Neural network turns galaxy shape distortions into maps of invisible cluster mass
aix-00023
Neural network writes amino acid sequences to fit fixed protein backbones
aix-00031
Keck spectra pin down distances for six gravitational lenses found by a neural network
aix-00030
Software spotted a nearby supernova and booked a telescope within minutes
aix-00029
Cryo-EM maps show water shifting in actin filaments as they age
aix-00028
Neural network trained on quantum calculations maps how gallium melts and freezes
aix-00027
Neural networks read infrared spectra to work out how CO sits on platinum
aix-00026
Algorithm picks starting powders and temperatures for making inorganic materials
aix-00025
Machine learning picks a new metal mixture, which casting and X-rays confirm
aix-00024
Machine learning picked which engineered enzymes to build for fatty alcohol production
aix-00022
Software works out protein shapes from electron microscope images using statistics
aix-00021
Neural network reads a million star spectra to measure temperature and chemistry
aix-00020
Neural network sifts Kepler signals and validates 301 new exoplanets
aix-00019
Neural network sorts six hundred thousand noise blips in LIGO gravitational-wave data
aix-00018
Telescope targets chosen nightly by a classifier learning from its own spectra
aix-00017
Neural network picks bright exploding stars from sky survey alerts and books telescope time
aix-00016
Machine learning picked which shape-memory alloys to make next, round by round
aix-00015
Transformer model predicts how gas-storing crystals take up gases, replacing slow simulations
aix-00013
Neural network segments 650 battery particles to measure their detachment after cycling
aix-00012
Machine-learned force model simulates silicon-oxygen structures from glass surfaces to monoxide grains
aix-00011
A learning algorithm ran a synchrotron beamline to find a phase-change material
aix-00010
Robotic lab with machine learning proposes and runs 353 inorganic synthesis experiments
aix-00009
Gaussian process models pick light-sensitive ion channels that reach mammalian cell membranes
aix-00008
Neural network locates single protein particles in cryo-electron microscope images
aix-00007
Neural network predicts protein atom positions from amino acid sequence alone
aix-00006
Protein shapes computed from patterns of change across families of related sequences
aix-00005
Cryo-tomography maps the myosin filament inside relaxed mouse heart muscle
aix-00004
Robot lab and learning agent redesign an enzyme to survive higher temperatures
aix-00003
Researchers map the sixteen-part Commander complex using crystals, cryo-EM and AlphaFold2
aix-00002
Deep learning turns raw NMR spectra into protein structures without human intervention
aix-00001