Model family
Linear model
Linear or generalised-linear fit, including regularised variants.
35articles
12Structural biology
19Materials & chemistry
4Astronomy
aix-00218
Sparse regression fits crystal force constants to model heat flow and vibrations
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-00206
Neural network designs five hard metallic glasses, all confirmed by experiment
aix-00157
Microscopy and a trained classifier map which E. coli proteins clump together
aix-00163
Peptides designed by simulation and machine learning sit at condensate surfaces
aix-00166
Neural network assigns protein domains to structural families from sequence alone
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-00146
Machine learning ranks stable materials by predicted superconducting temperature
aix-00144
Machine-learned potentials trained to simulate copper ion conductor Cu7PS6 faster
aix-00173
Machine learning predicts nanofibre thickness from electrospinning settings, tested against new scaffolds
aix-00133
Regression models predict how graphene loading changes aluminium's electron emission
aix-00131
Machine-learned potential predicts how chromium sulfide layers rearrange during exfoliation
aix-00180
Teaching protein language models to rank mutants from a few dozen lab measurements
aix-00188
Machine learning sorts antibody heavy chains by the germ they target
aix-00193
Researchers train a machine-learned force model to simulate carbon nanotubes' strength and heat limits
aix-00117
Deep learning model predicts polymer heat-softening across 48,208 designed candidates
aix-00112
Protein language model embeddings tested against classical descriptors for spotting resistance genes
aix-00108
Oxidation potentials for 15,238 molecules assembled from quantum calculations and lab measurements
aix-00081
Language models trained on protein sequences used to predict sugar-attachment sites
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-00066
Machine learning sifts 25,000 known materials for quantum-technology host candidates
aix-00063
Adding a term for the unfolded protein sharpens AI stability predictions
aix-00059
Machine-learnt stand-in for a planet model cuts interior inference from 42 hours to 8 minutes
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-00042
Two unsupervised methods compress fast radio burst spectra into a handful of numbers
aix-00035
GPT-4 reads band gap values from paper sentences to train better predictors
aix-00027
Neural networks read infrared spectra to work out how CO sits on platinum
aix-00012
Machine-learned force model simulates silicon-oxygen structures from glass surfaces to monoxide grains
aix-00009
Gaussian process models pick light-sensitive ion channels that reach mammalian cell membranes
aix-00001