Simplified ResNet approach for data driven prediction of microstructure-fatigue relationship

Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

(2019) Zifeng Wu et al.   PATTERN RECOGNITION

Ensemble Kalman Inversion: A Derivative-Free Technique For Machine Learning Tasks

(2019) Nikola Borislavov Kovachki et al.   INVERSE PROBLEMS

Detecting troubled-cells on two-dimensional unstructured grids using a neural network

(2019) Deep Ray et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Strengths prediction of particulate reinforced metal matrix composites (PRMMCs) using direct method and artificial neural network

(2019) Geng Chen et al.   COMPOSITE STRUCTURES

Material defects as cause for the fatigue failure of metallic components

(2019) U. Zerbst et al.   INTERNATIONAL JOURNAL OF FATIGUE

Neural network assisted multiscale analysis for the elastic properties prediction of 3D braided composites under uncertainty

(2018) Georgios Balokas et al.   COMPOSITE STRUCTURES

Computational micromechanics of fatigue of microstructures in the HCF–VHCF regimes

(2016) Gustavo M. Castelluccio et al.   INTERNATIONAL JOURNAL OF FATIGUE

A comparison of methods to avoid overfitting in neural networks training in the case of catchment runoff modelling

(2012) Adam P. Piotrowski et al.   JOURNAL OF HYDROLOGY

Application of Finite Element Model and Artificial Neural Network in Characterization of Al Matrix Nanocomposites Using Various Training Algorithms

(2012) Mohsen Ostad Shabani et al.   METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE

Fiji: an open-source platform for biological-image analysis

(2012) Johannes Schindelin et al.   NATURE METHODS

Gmsh: A 3-D finite element mesh generator with built-in pre- and post-processing facilities

(2009) Christophe Geuzaine et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

Three-dimensional shape of the early stages of fatigue cracks nucleated in nodular cast iron

(2007) C. Verdu et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING