Showing 1–20 of 124 results
/ Date/ Name
Jun 5, 2020Quantifying the dynamics of protein self-organization using deep learning analysis of atomic force microscopy dataApr 20, 2021Robust Feature Disentanglement in Imaging Data via Joint Invariant Variational Autoencoders: from Cards to AtomsJun 2, 2020Toward Decoding the Relationship between Domain Structure and Functionality in Ferroelectrics via Hidden Latent VariablesMar 14, 2018Deep Learning Analysis of Defect and Phase Evolution During Electron Beam Induced Transformations in WS2Oct 8, 2024Predicting Battery Capacity Fade Using Probabilistic Machine Learning Models With and Without Pre-Trained PriorsFeb 11, 2020Causal analysis of competing atomistic mechanisms in ferroelectric materials from high-resolution Scanning Transmission Electron Microscopy dataOct 19, 2020Unsupervised Machine Learning Discovery of Chemical and Physical Transformation Pathways from Imaging DataJul 13, 2020Disentangling ferroelectric domain wall geometries and pathways in dynamic piezoresponse force microscopy via unsupervised machine learningSep 3, 2016Deep data mining in a real space: Separation of intertwined electronic responses in a lightly-doped BaFe2As2May 16, 2024Active Learning with Fully Bayesian Neural Networks for Discontinuous and Nonstationary DataFeb 10, 2020Super-resolution and signal separation in contact Kelvin probe force microscopy of electrochemically active ferroelectric materialsFeb 11, 2020Robust multi-scale multi-feature deep learning for atomic and defect identification in Scanning Tunneling Microscopy on H-Si(100) 2x1 surfaceJun 18, 2020Exploring order parameters and dynamic processes in disordered systems via variational autoencodersSep 2, 2020Exploring particle dynamics during self-organization processes via rotationally invariant latent representationsJun 23, 2021Finding simplicity: unsupervised discovery of features, patterns, and order parameters via shift-invariant variational autoencodersDec 13, 2021Hypothesis Learning in Automated Experiment: Application to Combinatorial Materials LibrariesApr 11, 2022Physics is the New DataMar 18, 2022Active learning in open experimental environments: selecting the right information channel(s) based on predictability in deep kernel learningMar 19, 2020Predictability as a probe of manifest and latent physics: The case of atomic scale structural, chemical, and polarization behaviors in multiferroic Sm-doped BiFeO3Sep 3, 2016Data Mining Graphene: Correlative Analysis of Structure and Electronic Degrees of Freedom in Graphenic Monolayers with Defects