Model family
Gradient-boosted trees
Additive ensemble of decision trees fitted by boosting.
26articles
10Structural biology
13Materials & chemistry
3Astronomy
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Classifiers label individual TESS brightness readings as planet transits or not
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Language models suggest ingredients and firing temperatures for inorganic materials recipes
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Neural network designs five hard metallic glasses, all confirmed by experiment
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Peptides designed by simulation and machine learning sit at condensate surfaces
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Machine learning predicts strength of PLA plastic filled with boron nitride flakes
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Regression models predict how graphene loading changes aluminium's electron emission
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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
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Machine learning sorts antibody heavy chains by the germ they target
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Software predictors compare protein floppiness across retinal disease protein sets
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Machine learning sorts mitochondrial proteins into three compartments from sequence alone
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Deep learning model predicts polymer heat-softening across 48,208 designed candidates
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Machine learning sorts plant protein sequences into disease-resistance proteins or not
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Machine learning reads planet-forming disk masses from archival ALMA observations
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Language models trained on protein sequences used to predict sugar-attachment sites
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Simulations map how surface atoms rearrange in alloys when molecules attach
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Machine learning predicts marine steel corrosion from seawater conditions and alloy make-up
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Machine learning sifts 25,000 known materials for quantum-technology host candidates
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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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Eight machine learning methods sorted supernova gravitational wave signals by nuclear physics model
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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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Machine learning picks a new metal mixture, which casting and X-rays confirm
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Robotic lab with machine learning proposes and runs 353 inorganic synthesis experiments
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