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Integrating Materials and Manufacturing Innovation - Most Cited Articles Published in 2022 and 2023

(as of March 31, 2024)


1. Microstructure Characterization and Reconstruction in Python: MCRpy (this opens in a new tab)

Seibert, Paul; Rassloff, Alexander; Kalina, Karl; Ambati, Marreddy; Kaestner, Markus

2. 3D Grain Shape Generation in Polycrystals Using Generative Adversarial Networks (this opens in a new tab)

Jangid, Devendra K.; Brodnik, Neal R.; Khan, Amil; Goebel, Michael G.; Echlin, McLean P.; Pollock, Tresa M.; Daly, Samantha H.; Manjunath, B. S.

3. Additive Manufacturing Melt Pool Prediction and Classification via Multifidelity Gaussian Process Surrogates (this opens in a new tab)

Saunders, Robert; Rawlings, Anna; Birnbaum, Andrew; Iliopoulos, Athanasios; Michopoulos, John; Lagoudas, Dimitris; Elwany, Alaa

4. Advanced Acquisition Strategies for Lab-Based Diffraction Contrast Tomography (this opens in a new tab)

Oddershede, Jette; Bachmann, Florian; Sun, Jun; Lauridsen, Erik

5. Temperature-Dependent Material Property Databases for Marine Steels-Part 2: HSLA-65 (this opens in a new tab)

Semple, Jennifer K.; Bechetti, Daniel H.; Zhang, Wei; Fisher, Charles R.

6. A Novel Methodology for the Thermographic Cooling Rate Measurement during Powder Bed Fusion of Metals Using a Laser Beam (this opens in a new tab)

Wenzler, David L.; Bergmeier, Katharina; Baehr, Siegfried; Diller, Johannes; Zaeh, Michael F.

7. Bi-directional Scan Pattern Effects on Residual Stresses and Distortion in As-built Nitinol Parts: A Trend Analysis Simulation Study (this opens in a new tab)

Monu, Medad C. C.; Afkham, Yalda; Chekotu, Josiah C.; Ekoi, Emmanuel J.; Gu, Hengfeng; Teng, Chong; Ginn, Jon; Gaughran, Jennifer; Brabazon, Dermot

8. Temperature-Dependent Material Property Databases for Marine Steels-Part 3: HSLA-80 (this opens in a new tab)

Semple, Jennifer K.; Bechetti, Daniel H.; Zhang, Wei; Fisher, Charles R.

9. Ontopanel: A Tool for Domain Experts Facilitating Visual Ontology Development and Mapping for FAIR Data Sharing in Materials Testing (this opens in a new tab)

Chen, Yue; Schilling, Markus; von Hartrott, Philipp; Nasrabadi, Hossein Beygi; Skrotzki, Birgit; Olbricht, Jurgen

10. Application of a Chained-ANN for Learning the Process–Structure Mapping in Mg2SixSn1−x Spinodal Decomposition (this opens in a new tab)

Harrington, Grayson H.; Kelly, Conlain; Attari, Vahid; Arroyave, Raymundo; Kalidindi, Surya R.

11. Toward a Physical Basis for a Predictive Finite Element Thermal Model of the LENS™ Process Leveraging Dual-Wavelength Pyrometer Datasets (this opens in a new tab)

Dantin, Matthew J.; Furr, William M.; Priddy, Matthew W.

12. Random Generation of Lattice Structures with Short-Range Order (this opens in a new tab)

Fey, Lauren T. W.; Beyerlein, Irene J.

13. Data-Driven Multi-Scale Modeling and Optimization for Elastic Properties of Cubic Microstructures (this opens in a new tab)

Hasan, M.; Mao, Y.; Choudhary, K.; Tavazza, F.; Choudhary, A.; Agrawal, A.; Acar, P.

14. A Comparison of Statistically Equivalent and Realistic Microstructural Representative Volume Elements for Crystal Plasticity Models (this opens in a new tab)

Azhari, Fatemeh; Davids, William; Chen, Hansheng; Ringer, Simon P.; Wallbrink, Chris; Sterjovski, Zoran; Crawford, Bruce R.; Agius, Dylan; Wang, Chun H.; Schaffer, Graham

15. Compound Knowledge Graph-Enabled AI Assistant for Accelerated Materials Discovery (this opens in a new tab)

Aggour, Kareem S. S.; Detor, Andrew; Gabaldon, Alfredo; Mulwad, Varish; Moitra, Abha; Cuddihy, Paul; Kumar, Vijay S. S.

16. Physics-Informed Machine Learning and Uncertainty Quantification for Mechanics of Heterogeneous Materials (this opens in a new tab)

Bharadwaja, B. V. S. S.; Nabian, Mohammad Amin; Sharma, Bharatkumar; Choudhry, Sanjay; Alankar, Alankar

17. Digital Protocols for Statistical Quantification of Microstructures From Microscopy Images of Polycrystalline Nickel-Based Superalloys (this opens in a new tab)

Kim, Hyung N.; Iskakov, Almambet; Liu, Xuan; Kaplan, Max; Kalidindi, Surya R.

18. A Machine Learning Strategy for Race-Tracking Detection During Manufacturing of Composites by Liquid Moulding (this opens in a new tab)

Fernandez-Leon, Joaquin; Keramati, Keayvan; Garoz, David; Baumela, Luis; Miguel, Carlos; Gonzalez, Carlos

19. Data-Driven Modeling of Mechanical Properties for 17-4 PH Stainless Steel Built by Additive Manufacturing (this opens in a new tab)

Porro, Michael; Zhang, Bin; Parmar, Akanksha; Shin, Yung C.

20. A Numerical Approach to Model Microstructure Evolution for NiTi Shape Memory Alloy in Laser Powder Bed Fusion Additive Manufacturing (this opens in a new tab)

Hosseinzadeh, Hamed; Nematollahi, Mohammadreza; Safaei, Keyvan; Abedi, Hossein; Bayati, Parisa; Javan, Reza; Poorganji, Behrang; Yuan, Lang; Elahinia, Mohammad

21. Temperature-Dependent Material Property Databases for Marine Steels-Part 4: HSLA-100 (this opens in a new tab)

Semple, Jennifer K. K.; Bechetti, Daniel H. H.; Zhang, Wei; Fisher, Charles R. R.

22. Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design (this opens in a new tab)

Mao, Yuwei; Yang, Zijiang; Jha, Dipendra; Paul, Arindam; Liao, Wei-keng; Choudhary, Alok; Agrawal, Ankit

23. PRISMS-Plasticity TM: An Open-Source Rapid Texture Evolution Analysis Pipeline (this opens in a new tab)

Yaghoobi, Mohammadreza; Allison, John E.; Sundararaghavan, Veera

24. Image Segmentation for Defect Analysis in Laser Powder Bed Fusion: Deep Data Mining of X-Ray Photography from Recent Literature (this opens in a new tab)

Zhang, Jiahui; Lyu, Tianyi; Hua, Yujie; Shen, Zeren; Sun, Qiang; Rong, Yiming; Zou, Yu

25. A Data-Driven Framework to Select a Cost-Efficient Subset of Parameters to Qualify Sourced Materials (this opens in a new tab)

Senanayake, Nishan M.; Carter, Jennifer L. W.; Bowman, Cheryl L.; Ellis, David L.; Stuckner, Joshua

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