Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science
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April 2016 |
Property prediction and properties-to-microstructure inverse analysis of steels by a machine-learning approach
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January 2019 |
Microstructure optimization with constrained design objectives using machine learning-based feedback-aware data-generation
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April 2019 |
Identifying Structure–Property Relationships Through DREAM.3D Representative Volume Elements and DAMASK Crystal Plasticity Simulations: An Integrated Computational Materials Engineering Approach
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March 2017 |
Quantifying uncertainty in the process-structure relationship for Al–Cu solidification
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June 2019 |
Uncertainty propagation in reduced order models based on crystal plasticity
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June 2020 |
Convergence of Probability Densities using Approximate Models for Forward and Inverse Problems in Uncertainty Quantification
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January 2018 |
An inductive design exploration method for hierarchical systems design under uncertainty
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April 2008 |
Uncertainty Quantification and Propagation in Computational Materials Science and Simulation-Assisted Materials Design
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January 2020 |
Generation of 3D representative volume elements for heterogeneous materials: A review
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July 2018 |
Vision for Data and Informatics in the Future Materials Innovation Ecosystem
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August 2016 |
Incorporation of deformation twinning in crystal plasticity models
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February 1998 |
Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques
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June 2018 |
Numerically robust spectral methods for crystal plasticity simulations of heterogeneous materials
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March 2015 |
Overview of constitutive laws, kinematics, homogenization and multiscale methods in crystal plasticity finite-element modeling: Theory, experiments, applications
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February 2010 |
Establishing structure-property localization linkages for elastic deformation of three-dimensional high contrast composites using deep learning approaches
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March 2019 |
DREAM.3D: A Digital Representation Environment for the Analysis of Microstructure in 3D
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April 2014 |
pBO-2GP-3B: A batch parallel known/unknown constrained Bayesian optimization with feasibility classification and its applications in computational fluid dynamics
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April 2019 |
DAMASK: the Düsseldorf Advanced MAterial Simulation Kit for studying crystal plasticity using an FE based or a spectral numerical solver
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January 2012 |
A Comparative Study of the Efficacy of Local/Global and Parametric/Nonparametric Machine Learning Methods for Establishing Structure–Property Linkages in High-Contrast 3D Elastic Composites
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March 2019 |
Using spectral-based representative volume element crystal plasticity simulations to predict yield surface evolution during large scale forming simulations
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March 2020 |
Statistical Description of Microstructures
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August 2002 |
Convergence of Probability Densities Using Approximate Models for Forward and Inverse Problems in Uncertainty Quantification
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January 2018 |
Simulation-assisted materials design for the concurrent design of materials and products
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September 2007 |
Multi-fidelity machine-learning with uncertainty quantification and Bayesian optimization for materials design: Application to ternary random alloys
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August 2020 |
Stochastic Design Optimization of Microstructures with Utilization of a Linear Solver
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September 2017 |
Crystal plasticity finite element simulations using a database of discrete Fourier transforms
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March 2015 |
Computational microstructure characterization and reconstruction for stochastic multiscale material design
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January 2013 |
Investigation of three-dimensional aspects of grain-scale plastic surface deformation of an aluminum oligocrystal
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December 2008 |
Context Aware Machine Learning Approaches for Modeling Elastic Localization in Three-Dimensional Composite Microstructures
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March 2017 |
An active learning high-throughput microstructure calibration framework for solving inverse structure–process problems in materials informatics
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August 2020 |
Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets
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August 2018 |
Generation of 3D representative volume elements for heterogeneous materials: a review
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January 2018 |
Taking the Human Out of the Loop: A Review of Bayesian Optimization
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January 2016 |
Advanced material models for the crystal plasticity finite element method : development of a general CPFEM framework
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January 2011 |
A spectral method solution to crystal elasto-viscoplasticity at finite strains
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July 2013 |
Gaussian-Process-Driven Adaptive Sampling for Reduced-Order Modeling of Texture Effects in Polycrystalline Alpha-Ti
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June 2019 |
Quantifying the Contribution of Crystallographic Texture and Grain Morphology on the Elastic and Plastic Anisotropy of bcc Steel
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November 2019 |
Key computational modeling issues in Integrated Computational Materials Engineering
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January 2013 |
Revealing the strain-hardening behavior of twinning-induced plasticity steels: Theory, simulations, experiments
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January 2013 |
sMF-BO-2CoGP: A Sequential Multi-Fidelity Constrained Bayesian Optimization Framework for Design Applications
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April 2020 |
Dislocation mechanics of creep
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June 2009 |
A strategy for synthetic microstructure generation and crystal plasticity parameter calibration of fine-grain-structured dual-phase steel
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March 2020 |
Application-Specific Computational Materials Design via Multiscale Modeling and the Inductive Design Exploration Method (IDEM)
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March 2017 |
Data-driven high-fidelity 2D microstructure reconstruction via non-local patch-based image inpainting
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October 2019 |
Combining Push-Forward Measures and Bayes' Rule to Construct Consistent Solutions to Stochastic Inverse Problems
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January 2018 |
A framework for automated analysis and simulation of 3D polycrystalline microstructures. Part 2: Synthetic structure generation☆
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April 2008 |
An inverse design framework for prescribing precipitation heat treatments from a target microstructure
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October 2016 |
A framework for automated analysis and simulation of 3D polycrystalline microstructures.Part 1: Statistical characterization
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April 2008 |
Machine Learning–Based Reduce Order Crystal Plasticity Modeling for ICME Applications
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December 2018 |
Mixed-mode crack tip fields in a polycrystalline aluminum alloy
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January 2019 |
A crystal plasticity model for twinning- and transformation-induced plasticity
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October 2016 |
DAMASK – The Düsseldorf Advanced Material Simulation Kit for modeling multi-physics crystal plasticity, thermal, and damage phenomena from the single crystal up to the component scale
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January 2019 |
Deep learning based domain knowledge integration for small datasets: Illustrative applications in materials informatics
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conference
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July 2019 |
DAMASK – The Düsseldorf Advanced Material Simulation Kit for modeling multi-physics crystal plasticity, thermal, and damage phenomena from the single crystal up to the component scale
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February 2019 |