Deep learning method for predicting the strengths of microcracked brittle materials

Analyses of internal structures and defects in materials using physics-informed neural networks

(2022) Enrui Zhang et al.   Science Advances

A physics-informed variational DeepONet for predicting crack path in quasi-brittle materials

(2022) Somdatta Goswami et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Defect, temperature, and strain effects on lattice heat conductivity of egg-tray graphene

(2021) Zhihui Sun et al.   MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING

Deep learning-based planar crack damage evaluation using convolutional neural networks

(2021) X.Y. Long et al.   ENGINEERING FRACTURE MECHANICS

Highly accurate protein structure prediction with AlphaFold

(2021) John Jumper et al.   NATURE

Computed structures of core eukaryotic protein complexes

(2021) Ian R. Humphreys et al.   SCIENCE

Infrared spectroscopy data- and physics-driven machine learning for characterizing surface microstructure of complex materials

(2020) Joshua L. Lansford et al.   Nature Communications

Predicting the effective mechanical property of heterogeneous materials by image based modeling and deep learning

(2019) Xiang Li et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Deep neural network method for predicting the mechanical properties of composites

(2019) Sang Ye et al.   APPLIED PHYSICS LETTERS

Predictive modeling of dynamic fracture growth in brittle materials with machine learning

(2018) Bryan A. Moore et al.   COMPUTATIONAL MATERIALS SCIENCE

Insightful classification of crystal structures using deep learning

(2018) Angelo Ziletti et al.   Nature Communications

Deep Learning for Computer Vision: A Brief Review

(2018) Athanasios Voulodimos et al.   Computational Intelligence and Neuroscience

A note on the defect sensitivity of brittle solid foams

(2018) Shaohui Chen et al.   ENGINEERING FRACTURE MECHANICS

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Effect of defects on fracture strength of graphene sheets

(2011) M.C. Wang et al.   COMPUTATIONAL MATERIALS SCIENCE

Damage Micromechanics for Constitutive Relations and Failure of Microcracked Quasi-Brittle Materials

(2010) Xi-Qiao Feng et al.   INTERNATIONAL JOURNAL OF DAMAGE MECHANICS