Machine Learning Classifiers for Surface Crack Detection in Fracture Experiments

Using neural networks to represent von Mises plasticity with isotropic hardening

(2020) Annan Zhang et al.   INTERNATIONAL JOURNAL OF PLASTICITY

Designing complex architectured materials with generative adversarial networks

(2020) Yunwei Mao et al.   Science Advances

Neural network model describing the temperature- and rate-dependent stress-strain response of polypropylene

(2020) Benoit Jordan et al.   INTERNATIONAL JOURNAL OF PLASTICITY

Gray-level invariant Haralick texture features

(2019) Tommy Löfstedt et al.   PLoS One

Application of artificial neural networks in micromechanics for polycrystalline metals

(2019) Usman Ali et al.   INTERNATIONAL JOURNAL OF PLASTICITY

Semi-supervised machine-learning classification of materials synthesis procedures

(2019) Haoyan Huo et al.   npj Computational Materials

Parametrically homogenized constitutive models (PHCMs) from micromechanical crystal plasticity FE simulations, part I: Sensitivity analysis and parameter identification for Titanium alloys

(2019) Shravan Kotha et al.   INTERNATIONAL JOURNAL OF PLASTICITY

Necking-induced fracture prediction using an artificial neural network trained on virtual test data

(2019) Lars Greve et al.   ENGINEERING FRACTURE MECHANICS

First-ply failure prediction of glass/epoxy composite pipes using an artificial neural network model

(2018) J.Y. Ang et al.   COMPOSITE STRUCTURES

Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets

(2018) Zijiang Yang et al.   COMPUTATIONAL MATERIALS SCIENCE

A multiscale multi-permeability poroplasticity model linked by recursive homogenizations and deep learning

(2018) Kun Wang et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Predicting the effective thermal conductivities of composite materials and porous media by machine learning methods

(2018) Han Wei et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Data-driven design of inorganic materials with the Automatic Flow Framework for Materials Discovery

(2018) Corey Oses et al.   MRS BULLETIN

NOMAD: The FAIR concept for big data-driven materials science

(2018) Claudia Draxl et al.   MRS BULLETIN

Machine learning for molecular and materials science

(2018) Keith T. Butler et al.   NATURE

Machine learning material properties from the periodic table using convolutional neural networks

(2018) Xiaolong Zheng et al.   Chemical Science

Wind Turbine Gearbox Failure Identification With Deep Neural Networks

(2017) Long Wang et al.   IEEE Transactions on Industrial Informatics

Failure parameter identification and validation for a dual-phase 780 steel sheet

(2017) D. Anderson et al.   INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES

Kernel-based PSO and FRVM: An automatic plant leaf type detection using texture, shape, and color features

(2016) Balasubramanian VijayaLakshmi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Fracture Characterization of Rolled Sheet Alloys in Shear Loading: Studies of Specimen Geometry, Anisotropy, and Rate Sensitivity

(2016) A. Abedini et al.   EXPERIMENTAL MECHANICS

Fisher’s linear discriminant ratio based threshold for moving human detection in thermal video

(2016) Lavanya Sharma et al.   INFRARED PHYSICS & TECHNOLOGY

Development of high crush efficient, extrudable aluminium front rails for vehicle lightweighting

(2016) Christopher P. Kohar et al.   INTERNATIONAL JOURNAL OF IMPACT ENGINEERING

Autonomy in materials research: a case study in carbon nanotube growth

(2016) Pavel Nikolaev et al.   npj Computational Materials

Big–deep–smart data in imaging for guiding materials design

(2015) Sergei V. Kalinin et al.   NATURE MATERIALS

Classification of Dynamic Contrast Enhanced MR Images of Cervical Cancers Using Texture Analysis and Support Vector Machines

(2014) Turid Torheim et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

In vivo skin capacitive imaging analysis by using grey level co-occurrence matrix (GLCM)

(2013) Xiang Ou et al.   INTERNATIONAL JOURNAL OF PHARMACEUTICS

Ductile failure under combined shear and tension

(2013) S.S. Haltom et al.   INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES

New ductile fracture criterion for prediction of fracture forming limit diagrams of sheet metals

(2012) Yanshan Lou et al.   INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES

Construction of high-dimensional neural network potentials using environment-dependent atom pairs

(2012) K. V. Jovan Jose et al.   JOURNAL OF CHEMICAL PHYSICS

Lattice constant prediction of cubic and monoclinic perovskites using neural networks and support vector regression

(2010) Abdul Majid et al.   COMPUTATIONAL MATERIALS SCIENCE

Hybrid experimental–numerical analysis of basic ductile fracture experiments for sheet metals

(2010) Matthieu Dunand et al.   INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES

Constitutive Modeling and Rupture Predictions of Al-6061-T6 Tubes Under Biaxial Loading Paths

(2010) Y. P. Korkolis et al.   JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME

Texture-based classification of focal liver lesions on MRI at 3.0 Tesla: A feasibility study in cysts and hemangiomas

(2010) Marius E. Mayerhoefer et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Mode-shape recognition and finite element model updating using the Zernike moment descriptor

(2009) Weizhuo Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Experimental and numerical failure criterion for formability prediction in sheet metal forming

(2007) V. Uthaisangsuk et al.   COMPUTATIONAL MATERIALS SCIENCE

A new model of metal plasticity and fracture with pressure and Lode dependence

(2007) Yuanli Bai et al.   INTERNATIONAL JOURNAL OF PLASTICITY