The paper "Mechanical MNIST: A benchmark dataset for mechanical metamodels" can be found at https://doi.org/10.1016/j.eml.2020.100659. All code necessary to reproduce the metamodels demonstrated in the manuscript is available on GitHub (https://github.com/elejeune11/Mechanical-MNIST). For questions, please contact Emma Lejeune (elejeune@bu.edu).Each dataset in the Mechanical MNIST collection contains the results of 70,000 (60,000 training examples + 10,000 test examples) finite element simulation of a heterogeneous material subject to large deformation. Mechanical MNIST is generated by first converting the MNIST bitmap images (http://www.pymvpa.org/datadb/mnist.html) to 2D heterogeneous blocks of material. Consistent with the MNIST bitmap (...
This is the replication package supporting the paper "Conformal Elasticity of Mechanism-Based Metama...
Using simulation to predict the mechanical behavior of heterogeneous materials has applications rang...
Projection-based model-order-reduction (MOR) accelerates computations of physical systems in case th...
The paper "Mechanical MNIST: A benchmark dataset for mechanical metamodels" can be found at https://...
The paper "Mechanical MNIST: A benchmark dataset for mechanical metamodels" can be found at https://...
The paper "Mechanical MNIST: A benchmark dataset for mechanical metamodels" can be found at https://...
The paper "Mechanical MNIST: A benchmark dataset for mechanical metamodels" can be found at https://...
The associated paper “Enhancing Mechanical Metamodels with a Generative Model-Based Augmented Traini...
More details about the data description can be found in the paper "Towards out of distribution gener...
Metamodels, or models of models, map defined model inputs to defined model outputs. Typically, metam...
The paper “Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based...
The Mechanical MNIST Crack Path dataset contains Finite Element simulation results from phase-field ...
This repository contains a source code and dataset used to generate results that are reported in the...
Mechanical metamaterials such as open- and closed-cell lattice structures, foams, composites, and so...
La simulation des procédés thermomécaniques tels que le soudage demande une description fine des com...
This is the replication package supporting the paper "Conformal Elasticity of Mechanism-Based Metama...
Using simulation to predict the mechanical behavior of heterogeneous materials has applications rang...
Projection-based model-order-reduction (MOR) accelerates computations of physical systems in case th...
The paper "Mechanical MNIST: A benchmark dataset for mechanical metamodels" can be found at https://...
The paper "Mechanical MNIST: A benchmark dataset for mechanical metamodels" can be found at https://...
The paper "Mechanical MNIST: A benchmark dataset for mechanical metamodels" can be found at https://...
The paper "Mechanical MNIST: A benchmark dataset for mechanical metamodels" can be found at https://...
The associated paper “Enhancing Mechanical Metamodels with a Generative Model-Based Augmented Traini...
More details about the data description can be found in the paper "Towards out of distribution gener...
Metamodels, or models of models, map defined model inputs to defined model outputs. Typically, metam...
The paper “Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based...
The Mechanical MNIST Crack Path dataset contains Finite Element simulation results from phase-field ...
This repository contains a source code and dataset used to generate results that are reported in the...
Mechanical metamaterials such as open- and closed-cell lattice structures, foams, composites, and so...
La simulation des procédés thermomécaniques tels que le soudage demande une description fine des com...
This is the replication package supporting the paper "Conformal Elasticity of Mechanism-Based Metama...
Using simulation to predict the mechanical behavior of heterogeneous materials has applications rang...
Projection-based model-order-reduction (MOR) accelerates computations of physical systems in case th...