Integrating materials and manufacturing innovation

Keyphrases

Publications

volume 13, number 1, 2024

Krzysztof S Stopka, Andrew Desrosiers, Amber Andreaco, Michael D Sangid
A Methodology for the Rapid Qualification of Additively Manufactured Materials Based on Pore Defect Structures. Integrating materials and manufacturing innovation 13 (1) (2024)
Krzysztof S Stopka, Andrew Desrosiers, Amber Andreaco, Michael D Sangid
A Methodology for the Rapid Qualification of Additively Manufactured Materials Based on Pore Defect Structures. Integrating materials and manufacturing innovation 13 (1) (2024)

volume 12, number 1, 2023

Medad C C Monu, Yalda Afkham, Josiah C Chekotu, Emmanuel J Ekoi, Hengfeng Gu, Chong Teng, Jon Ginn, Jennifer Gaughran, Dermot Brabazon
Bi-directional Scan Pattern Effects on Residual Stresses and Distortion in As-built Nitinol Parts: A Trend Analysis Simulation Study. Integrating materials and manufacturing innovation 12 (1) (2023)
Medad C C Monu, Yalda Afkham, Josiah C Chekotu, Emmanuel J Ekoi, Hengfeng Gu, Chong Teng, Jon Ginn, Jennifer Gaughran, Dermot Brabazon
Bi-directional Scan Pattern Effects on Residual Stresses and Distortion in As-built Nitinol Parts: A Trend Analysis Simulation Study. Integrating materials and manufacturing innovation 12 (1) (2023)

volume 11, number 4, 2022

Yuwei Mao, Zijiang Yang, Dipendra Jha, Arindam Paul, Wei-Keng Liao, Alok Choudhary, Ankit Agrawal
Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design. Integrating materials and manufacturing innovation 11 (4) (2022)
Yuwei Mao, Zijiang Yang, Dipendra Jha, Arindam Paul, Wei-Keng Liao, Alok Choudhary, Ankit Agrawal
Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design. Integrating materials and manufacturing innovation 11 (4) (2022)

volume 6, number 1, 2017

David B Brough, Daniel Wheeler, Surya R Kalidindi
Materials Knowledge Systems in Python - A Data Science Framework for Accelerated Development of Hierarchical Materials. Integrating materials and manufacturing innovation 6 (1) (2017)
Brett D Ellis, David L McDowell
Application-Specific Computational Materials Design via Multiscale Modeling and the Inductive Design Exploration Method (IDEM). Integrating materials and manufacturing innovation 6 (1) (2017)
Evdokia Popova, Theron M Rodgers, Xinyi Gong, Ahmet Cecen, Jonathan D Madison, Surya R Kalidindi
Process-Structure Linkages Using a Data Science Approach: Application to Simulated Additive Manufacturing Data. Integrating materials and manufacturing innovation 6 (1) (2017)

volume 6, number 2, 2017

Ruoqian Liu, Yuksel C Yabansu, Zijiang Yang, Alok N Choudhary, Surya R Kalidindi, Ankit Agrawal
Context Aware Machine Learning Approaches for Modeling Elastic Localization in Three-Dimensional Composite Microstructures. Integrating materials and manufacturing innovation 6 (2) (2017)
David B Brough, Abhiram Kannan, Benjamin Haaland, David G Bucknall, Surya R Kalidindi
Extraction of Process-Structure Evolution Linkages from X-ray Scattering Measurements Using Dimensionality Reduction and Time Series Analysis. Integrating materials and manufacturing innovation 6 (2) (2017)

volume 6, number 3, 2017

Shengyen Li, Ursula R Kattner, Carelyn E Campbell
A Computational Framework for Material Design. Integrating materials and manufacturing innovation 6 (3) (2017)

volume 5, number 1, 2016

Jordan S Weaver, Ali Khosravani, Andrew Castillo, Surya R Kalidindi
High throughput exploration of process-property linkages in Al-6061 using instrumented spherical microindentation and microstructurally graded samples. Integrating materials and manufacturing innovation 5 (1) (2016)

volume 4, number 1, 2015

Ruoqian Liu, Yuksel C Yabansu, Ankit Agrawal, Surya R Kalidindi, Alok N Choudhary
Machine learning approaches for elastic localization linkages in high-contrast composite materials. Integrating materials and manufacturing innovation 4 (1) (2015)