Overview: Computer vision and machine learning for microstructural characterization and analysis

28 May 2020

Papers citing "Overview: Computer vision and machine learning for microstructural characterization and analysis"

6 / 6 papers shown

Title
3D variational autoencoder for fingerprinting microstructure volume elements Michael D. White Michael D. Atkinson Adam J. Plowman Pratheek Shanthraj 52 0 0 21 Mar 2025
Peridynamic Neural Operators: A Data-Driven Nonlocal Constitutive Model for Complex Material Responses S. Jafarzadeh Stewart Silling Ning Liu Zhongqiang Zhang Yue Yu AI4CE 39 16 0 11 Jan 2024
Computational Discovery of Energy-Efficient Heat Treatment for Microstructure Design using Deep Reinforcement Learning J. Mianroodi N. Siboni Dierk Raabe AI4CE 40 2 0 22 Sep 2022
Digital Fingerprinting of Microstructures Michael White Alexander Tarakanov C. Race P. Withers K. Law 34 7 0 25 Mar 2022
Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs Ryan Jacobs Mingren Shen Yuhan Liu Wei Hao Xiaoshan Li ... Zeming Xie Zitong Huang Chao Wang Kevin G. Field D. Morgan 25 2 0 15 Oct 2021
Unsupervised machine learning via transfer learning and k-means clustering to classify materials image data R. Cohn Elizabeth A. Holm 8 64 0 16 Jul 2020