Model family
Gaussian process
Non-parametric Bayesian model over functions.
22articles
3Structural biology
14Materials & chemistry
5Astronomy
aix-00206
Neural network designs five hard metallic glasses, all confirmed by experiment
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Machine learning assigns atomic charges to size up polarisation in bismuth vanadate conductors
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Seven machine-learned water models test how density functional choice shapes water's behaviour
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Robot laser-heats thin films while software picks each next heating condition
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Regression models predict how graphene loading changes aluminium's electron emission
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Machine-learned potential makes long simulations of CO hydrogenation on rhodium affordable
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Machine-learned force field used to model two crystal forms of formamide
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Neural networks sort supernovae and estimate their distances from brightness alone
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Pretrained potentials give a structure search a head start in finding atomic arrangements
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A compact way to describe molecules speeds up machine learning of their properties
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Weighing the Milky Way's disk reveals a mass excess along the Local Arm
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Neural network scores candidate composite microstructures in a strength–toughness design loop
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Machine-learnt stand-in for a planet model cuts interior inference from 42 hours to 8 minutes
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Software reconstructs supernova spectra and physical properties from brightness measurements alone
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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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Machine learning picked which engineered enzymes to build for fatty alcohol production
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Machine learning picked which shape-memory alloys to make next, round by round
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Machine-learned force model simulates silicon-oxygen structures from glass surfaces to monoxide grains
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A learning algorithm ran a synchrotron beamline to find a phase-change material
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Gaussian process models pick light-sensitive ion channels that reach mammalian cell membranes
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