High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel

4 May 2018

Papers citing "High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel"

20 / 20 papers shown

Title
A Framework for Supervised and Unsupervised Segmentation and Classification of Materials Microstructure Images Kungang Zhang D. Apley Wei Chen Wing Kam Liu L. Brinson 42 0 0 10 Feb 2025
A versatile machine learning workflow for high-throughput analysis of supported metal catalyst particles A. Genç Justin Marlowe Anika Jalil L. Kovarik Phillip Christopher 37 1 0 02 Oct 2024
MatSAM: Efficient Extraction of Microstructures of Materials via Visual Large Model Changtai Li Xu Han Chao Yao Xiaojuan Ban 36 2 0 11 Jan 2024
Microstructure quality control of steels using deep learning Ali Riza Durmaz Sai Teja Potu Daniel Romich Johannes Möller R. Nützel 21 5 0 01 Jun 2023
Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy S. Chowdhury M. Taufique Junchang Wang Marissa Masden M. Wenzlick Ram Devanathan A. Schemer-Kohrn K. Kappagantula 18 5 0 12 May 2023
Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review Hanxun Jin Enrui Zhang H. Espinosa AI4CE 31 68 0 14 Mar 2023
A Survey on Semi-Supervised Semantic Segmentation Adrian Peláez-Vegas Pablo Mesejo Julián Luengo 32 27 0 20 Feb 2023
Computer Vision Methods for the Microstructural Analysis of Materials: The State-of-the-art and Future Perspectives Khaled Alrfou Amir Kordijazi Tian Zhao 3DV 44 6 0 29 Jul 2022
Digital Fingerprinting of Microstructures Michael White Alexander Tarakanov C. Race P. Withers K. Law 34 7 0 25 Mar 2022
A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in Electron Tomography of Catalytic Materials A. Genç L. Kovarik H. Fraser 42 15 0 18 Jan 2022
Addressing materials' microstructure diversity using transfer learning Aurèle Goetz Ali Riza Durmaz Martin Müller Akhil Thomas D. Britz P. Kerfriden C. Eberl OOD 22 21 0 29 Jul 2021
Design of a Graphical User Interface for Few-Shot Machine Learning Classification of Electron Microscopy Data Christina Doty Shaun Gallagher Wenqi Cui Wenya Chen Shweta Bhushan Marjolein Oostrom Sarah Akers Steven Spurgeon 18 19 0 21 Jul 2021
An End-to-End Computer Vision Methodology for Quantitative Metallography M. Rusanovsky O. Beeri Gal Oren 15 18 0 22 Apr 2021
Image-driven discriminative and generative machine learning algorithms for establishing microstructure-processing relationships Wufei Ma E. Kautz Arun Baskaran Aritra Chowdhury V. Joshi B. Yener D. Lewis AI4CE 37 42 0 27 Jul 2020
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
Overview: Computer vision and machine learning for microstructural characterization and analysis Elizabeth A. Holm R. Cohn Nan Gao Andrew R. Kitahara Thomas P. Matson Bo Lei Srujana Rao Yarasi 31 161 0 28 May 2020
MLography: An Automated Quantitative Metallography Model for Impurities Anomaly Detection using Novel Data Mining and Deep Learning Approach M. Rusanovsky Gal Oren S. Ifergane O. Beeri 16 3 0 27 Feb 2020
Machine Learning Pipeline for Segmentation and Defect Identification from High Resolution Transmission Electron Microscopy Data Catherine K. Groschner Christina Choi M. Scott 4 36 0 14 Jan 2020
An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction E. Kautz Wufei Ma S. Jana A. Devaraj V. Joshi B. Yener D. Lewis 25 21 0 13 Jun 2019
Paradigm shift in electron-based crystallography via machine learning Kevin Kaufmann Chaoyi Zhu Alexander S. Rosengarten Daniel Maryanovsky Tyler J. Harrington E. Marin K. Vecchio 14 113 0 10 Feb 2019