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RESEARCH PAPER · Integrating materials and manufacturing innovation · 2019

Data Infrastructure Elements in Support of Accelerated Materials Innovation: ELA, PyMKS, and MATIN

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42 direct citing works

Data Infrastructure Elements in Support of Accelerated Materials Innovation: ELA, PyMKS, and MATINOriginalIntegrated Design of Materials, Products, and Manufacturing Processes—Current Trends and Practices0Feature engineering of material structure for AI-based materials knowledge systems70Mining the Correlations Between Optical Micrographs and Mechanical Properties of Cold-Rolled HSLA Steels Using Machine Learning Approaches26Recurrent localization networks applied to the Lippmann-Schwinger equation10Materials graph ontology23Signal Processing Challenges and Examples for {\it in-situ} Transmission Electron Microscopy0An Ontology-Based Approach to Enable Data-Driven Research in the Field of NDT in Civil Engineering15In Situ Transmission Electron Microscopy: Signal processing challenges and examples5How important is microstructural feature selection for data-driven structure-property mapping?12Biomaterialomics: Data science-driven pathways to develop fourth-generation biomaterials134Digital Twins for Materials90Voxelized Representations of Atomic Systems for Machine Learning Applications2Voxelized atomic structure framework for materials design and discovery7Process-structure-property models for metal additive manufacturing using AI/ML approaches1MICRO2D: A Large, Statistically Diverse, Heterogeneous Microstructure Dataset11Semantics-Enabled Data Federation: Bringing Materials Scientists Closer to FAIR Data10Illustrating an Effective Workflow for Accelerated Materials Discovery14Machine Learning for Predicting Tensile Properties of Fiber-Reinforced Metal Matrix Composites3Thermodynamically-Informed Iterative Neural Operators for heterogeneous elastic localization5Artificial intelligence for design strategies of tissue engineering materials13Constructing generalizable microstructure–property maps across diverse microstructure classes1

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  1. Integrated Design of Materials, Products, and Manufacturing Processes—Current Trends and Practices

    Springer eBooks · 2020-01-01

    Anand Balu Nellippallil, Janet K. Allen, B. P. Gautham, Amarendra Kumar Singh, Farrokh Mistree

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  2. Feature engineering of material structure for AI-based materials knowledge systems

    Journal of Applied Physics · 2020-07-28

    Surya R. Kalidindi

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  3. Mining the Correlations Between Optical Micrographs and Mechanical Properties of Cold-Rolled HSLA Steels Using Machine Learning Approaches

    Integrating materials and manufacturing innovation · 2020-09-01

    Berkay Yucel, Sezen Yucel, A. Ray, Lode Duprez, Surya R. Kalidindi

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  4. Recurrent localization networks applied to the Lippmann-Schwinger equation

    Computational Materials Science · 2021-03-07

    Conlain Kelly, Surya R. Kalidindi

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  5. Materials graph ontology

    Materials Letters · 2021-04-09

    Sven P. Voigt, Surya R. Kalidindi

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  6. Signal Processing Challenges and Examples for {\it in-situ} Transmission Electron Microscopy

    arXiv (Cornell University) · 2021-04-18

    Josh Kacher, Yao Xie, Voigt, Sven P., Shixiang Zhu, Henry Shaowu Yuchi, Jordan W. Key, Surya R. Kalidindi

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  7. An Ontology-Based Approach to Enable Data-Driven Research in the Field of NDT in Civil Engineering

    Remote Sensing · 2021-06-21

    Benjamí Moreno Torres, Christoph Völker, Sarah Mandy Nagel, Thomas Hanke, Sabine Kruschwitz

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  8. In Situ Transmission Electron Microscopy: Signal processing challenges and examples

    IEEE Signal Processing Magazine · 2021-12-28

    Josh Kacher, Yao Xie, Sven P. Voigt, Shixiang Zhu, Henry Shaowu Yuchi, Jordan W. Key, Surya R. Kalidindi

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  9. How important is microstructural feature selection for data-driven structure-property mapping?

    MRS Communications · 2022-01-06

    Hao Liu, Berkay Yucel, Daniel Wheeler, Baskar Ganapathysubramanian, Surya R. Kalidindi, Olga Wodo

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  10. Biomaterialomics: Data science-driven pathways to develop fourth-generation biomaterials

    Acta Biomaterialia · 2022-02-22

    Bikramjit Basu, N. H. Gowtham, Yang Xiao, Surya R. Kalidindi, Kam W. Leong

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  11. Digital Twins for Materials

    Frontiers in Materials · 2022-03-16

    Surya R. Kalidindi, Michael O. Buzzy, Brad L. Boyce, Rémi Dingreville

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  12. Voxelized Representations of Atomic Systems for Machine Learning Applications

    Challenges and advances in computational chemistry and physics · 2023-01-01

    Matthew C. Barry, Satish Kumar, Surya R. Kalidindi

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  13. Voxelized atomic structure framework for materials design and discovery

    Computational Materials Science · 2023-08-24

    Matthew C. Barry, Jacob R. Gissinger, Michael Chandross, Kristopher E. Wise, Surya R. Kalidindi, Satish Kumar

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  14. Process-structure-property models for metal additive manufacturing using AI/ML approaches

    Elsevier eBooks · 2024-01-01

    Venkata Surya Karthik Adapa, Surya R. Kalidindi, Christopher Saldaña

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  15. MICRO2D: A Large, Statistically Diverse, Heterogeneous Microstructure Dataset

    Integrating materials and manufacturing innovation · 2024-02-12

    Andreas E. Robertson, Adam P. Generale, Conlain Kelly, Michael O. Buzzy, Surya R. Kalidindi

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  16. Semantics-Enabled Data Federation: Bringing Materials Scientists Closer to FAIR Data

    Integrating materials and manufacturing innovation · 2024-04-09

    Kareem S. Aggour, Vijay S. Kumar, Vipul Kumar Gupta, Alfredo Gabaldon, Paul E. Cuddihy, Varish Mulwad

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  17. Illustrating an Effective Workflow for Accelerated Materials Discovery

    Integrating materials and manufacturing innovation · 2024-06-01

    Mrinalini Mulukutla, A. Nicole Person, Sven Voigt, Lindsey A. Kuettner, Branden B. Kappes, Danial Khatamsaz, Robert Robinson, Daniel Salas, Wenle Xu, Daniel Lewis, Hongkyu Eoh, Kailu Xiao, Haoren Wang, Jaskaran Singh Saini, Raj Mahat, Trevor Hastings, Matthew Skokan, Vahid Attari, Michael Elverud, James D. Paramore, Brady G. Butler, Kenneth S. Vecchio, Surya R. Kalidindi, Douglas Allaire, İbrahim Karaman, Edwin L. Thomas, George M. Pharr, Ankit Srivastava, Raymundo Arróyave

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  18. Machine Learning for Predicting Tensile Properties of Fiber-Reinforced Metal Matrix Composites

    Unknown journal · 2025-03-07

    Guorong Gan, Qiqing Liu, Guoyang Leng, Zhengcui Wang, Daohui Lai

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  19. Thermodynamically-Informed Iterative Neural Operators for heterogeneous elastic localization

    Computer Methods in Applied Mechanics and Engineering · 2025-04-03

    Conlain Kelly, Surya R. Kalidindi

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  20. Artificial intelligence for design strategies of tissue engineering materials

    Fundamental Research · 2025-09-23

    Mingru Kong, Yuting Zeng, Zhen Wu, Hao Deng, Binrui Zhang, Dongyi Feng, Yuxiang Zhang, Wenjun Zhang, Xiaodong Fu, Leyu Wang

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  21. Constructing generalizable microstructure–property maps across diverse microstructure classes

    MRS Communications · 2025-11-06

    Hao Liu, Nirmal Baishnab, Balaji Sesha Sarath Pokuri, Baskar Ganapathysubramanian, Olga Wodo

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