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On the use of principal component analysis to identify systematic patterns in roundness profiles
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June 2007 |
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Microstructure informatics using higher-order statistics and efficient data-mining protocols
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April 2011 |
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Microstructure Cluster Analysis with Transfer Learning and Unsupervised Learning
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August 2018 |
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A microscopic theory for antiphase boundary motion and its application to antiphase domain coarsening
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June 1979 |
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Microstructure reconstructions from 2-point statistics using phase-recovery algorithms
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Optimized structure based representative volume element sets reflecting the ensemble-averaged 2-point statistics
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August 2010 |
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Role of grain size on the martensitic transformation and ultra-fast superelasticity in shape memory alloys
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August 2015 |
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Hierarchical n-point polytope functions for quantitative representation of complex heterogeneous materials and microstructural evolution
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October 2019 |
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Microstructure morphology and concentration modulation of nanocomposite thin-films during simulated physical vapor deposition
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April 2020 |
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A data-driven surrogate model to rapidly predict microstructure morphology during physical vapor deposition
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December 2020 |
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Koopman operator dynamical models: Learning, analysis and control
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January 2021 |
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Computational microstructure characterization and reconstruction for stochastic multiscale material design
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January 2013 |
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Accelerating phase-field predictions via recurrent neural networks learning the microstructure evolution in latent space
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July 2022 |
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Image driven machine learning methods for microstructure recognition
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October 2016 |
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A novel PCA-based microstructure descriptor for heterogeneous material design
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April 2017 |
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Nonlinear dimensionality reduction in molecular simulation: The diffusion map approach
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June 2011 |
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Data-driven probability concentration and sampling on manifold
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September 2016 |
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Polynomial chaos representation of databases on manifolds
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April 2017 |
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Modelling the steel microstructure knowledge for in-silico recognition of phases using machine learning
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September 2020 |
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Design of bicontinuous metallic nanocomposites for high-strength and plasticity
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March 2019 |
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A microstructure-informatic strategy for Vickers hardness forecast of austenitic steels from experimental data
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March 2021 |
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Learning time-dependent deposition protocols to design thin films via genetic algorithms
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July 2022 |
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Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques
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June 2018 |
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Race against the Machine: can deep learning recognize microstructures as well as the trained human eye?
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March 2021 |
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Investigating Molecular Kinetics by Variationally Optimized Diffusion Maps
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November 2015 |
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Harnessing mechanical instabilities at the nanoscale to achieve ultra-low stiffness metals
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October 2017 |
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Machine learning enabled autonomous microstructural characterization in 3D samples
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January 2020 |
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Flash sintering incubation kinetics
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July 2020 |
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Accelerating phase-field-based microstructure evolution predictions via surrogate models trained by machine learning methods
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January 2021 |
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Learning two-phase microstructure evolution using neural operators and autoencoder architectures
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September 2022 |
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Inferring topological transitions in pattern-forming processes with self-supervised learning
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September 2022 |
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Pattern recognition with machine learning on optical microscopy images of typical metallurgical microstructures
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February 2018 |
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Free Energy of a Nonuniform System. I. Interfacial Free Energy
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February 1958 |
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Microstructure of two‐phase random media. I. The n ‐point probability functions
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August 1982 |
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Processing of novel pseudomorphic Cu–Mo hierarchies in thin films
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November 2018 |
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Quantitative phase-field modeling of dendritic growth in two and three dimensions
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April 1998 |
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Reconstructing random media
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Quantitative Phase-Field Approach for Simulating Grain Growth in Anisotropic Systems with Arbitrary Inclination and Misorientation Dependence
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Understanding the Nature of the Kinetic Process in a VO 2 Metal-Insulator Transition
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November 2010 |
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July 1959 |
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Isotropic to Nematic Liquid Crystalline Phase Transition of F -Actin Varies from Continuous to First Order
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Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods
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June 2007 |
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Application of the Karhunen-Loève Expansion to Feature Selection and Ordering
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April 1970 |
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Statistical Description of Microstructures
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Phase-Field Models for Microstructure Evolution
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Predicting peak stresses in microstructured materials using convolutional encoder–decoder learning
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Gerchberg–Saxton and Yang–Gu algorithms for phase retrieval in a nonunitary transform system: a comparison
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Structure-property modeling scheme based on optimized microstructural information by two-point statistics and principal component analysis
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The application of Principal Component Analysis to materials science data
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