Litcius/Paper detail

Prediction of the adsorption properties of liquid at solid surfaces with molecular scale surface roughness via encoding-decoding convolutional neural networks

Gaoyang Li, Yuting Guo, Takuya Mabuchi, Donatas Surblys, Taku Ohara, Takashi Tokumasu

2022Journal of Molecular Liquids17 citationsDOI

Topics & Concepts

Convolutional neural networkVisualizationDeep learningSurface roughnessEncoding (memory)Materials scienceAdsorptionSurface finishNanoscopic scaleScale (ratio)Decoding methodsComputer scienceArtificial neural networkArtificial intelligenceMolecular dynamicsBiological systemComputational scienceAlgorithmNanotechnologyChemistryPhysicsComputational chemistryOrganic chemistryBiologyQuantum mechanicsComposite materialMachine Learning in Materials ScienceNanopore and Nanochannel Transport StudiesTheoretical and Computational Physics
Prediction of the adsorption properties of liquid at solid surfaces with molecular scale surface roughness via encoding-decoding convolutional neural networks | Litcius