Model family
Random forest
Bagged ensemble of decision trees.
34articles
10Structural biology
15Materials & chemistry
9Astronomy
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-00206
Neural network designs five hard metallic glasses, all confirmed by experiment
aix-00155
Neural network predicts crystal density of candidate explosives from molecular structure
aix-00151
Classifier sorts true from false AlphaFold predictions of human protein pairs
aix-00170
Machine learning predicts strength of PLA plastic filled with boron nitride flakes
aix-00172
Machine learning tested against three definitions of protein shape-shifting
aix-00143
Software models of two cancer proteins used to rank mutations by likely effect
aix-00173
Machine learning predicts nanofibre thickness from electrospinning settings, tested against new scaffolds
aix-00178
Machine learning picked catalyst recipes for a loop of 44 lab cycles
aix-00133
Regression models predict how graphene loading changes aluminium's electron emission
aix-00181
Protein language model embeddings used to predict succinylation sites in proteins
aix-00188
Machine learning sorts antibody heavy chains by the germ they target
aix-00129
Neural networks sort supernovae and estimate their distances from brightness alone
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-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-00107
Machine learning sorts plant protein sequences into disease-resistance proteins or not
aix-00101
Simulations map three sodium–bismuth compounds, then models predict their heat-to-electricity performance
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-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-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-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-00039
Machine learning predicts whether a dying massive star explodes, from its density profile
aix-00035
GPT-4 reads band gap values from paper sentences to train better predictors
aix-00025
Machine learning picks a new metal mixture, which casting and X-rays confirm
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