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RESEARCH PAPER · Materials Research Letters · 2024

Exploring chemistry and additive manufacturing design spaces: a perspective on computationally-guided design of printable alloys

Sofia Sheikh, Brent Vela, Vahid Attari, Xueqin Huang, Peter Morcos, James Hanagan, Cafer Acemi, İbrahim Karaman, Alaa H. Elwany, Raymundo Arróyave

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42 direct citing works

Exploring chemistry and additive manufacturing design spaces: a perspective on computationally-guided design of printable alloysOriginalFostering strengths against hydrogen embrittlement: insights from nanotwin-ability and post-treatment effects in additively manufactured CoCrFeMnNi19Data-augmented modeling in laser powder bed fusion: A Bayesian approach4Recent progress in high-entropy alloys for laser powder bed fusion: Design, processing, microstructure, and performance78Multi-objective, multi-constraint high-throughput design, synthesis, and characterization of tungsten-containing refractory multi-principal element alloys44Investigating Melt Pool Dimensions in Laser Powder Bed Fusion of Nitinol: An Analytical Approach13Laser powder bed fusion of porous 304SS samples for use in developing oil impregnated ball bearings1Achieving sustainability by additive manufacturing: a state-of-the-art review and perspectives124Additive manufactured enabled digital metallurgy processes, challenges and future prospects13Hochtemperaturlegierungen0Barriers to Adoption of Artificial Intelligence in Metal Additive Manufacturing0Computationally guided composition optimization of Ni50–xFe25Co25Cux for additive manufacturing3Microstructural heterogeneities in additively manufactured refractory alloy C103 and their implications for room and elevated temperature mechanical behavior4A generalized mechanical blocking criterion for the columnar-to-equiaxed transition during additive manufacturing2A review of additive manufacturing heat-resistant aluminum alloys: Materials, properties and strengthening strategies at high temperature24Phase stability in additively manufactured N-doped CoCrMo alloys via in-situ synchrotron X-ray diffraction during tensile testing2Achieving synergistic printability and mechanical property enhancement in Ni superalloys via tailored primary precipitate interfaces2From prediction to performance: Machine learning-guided discovery and validation of Cu-doped Co3O4 for enhanced oxygen evolution reaction2From process to performance: a review on laser additive manufacturing of eutectic high-entropy alloys2A review on the role of machine learning in enabling digital twins for process–structure mapping and alloy design in additive manufacturing2Phase Lab: a cloud-native CALPHAD-to-data platform for accelerated alloy design and AI/ICME/MGE workflows3BiL-AttNet: A deep learning architecture for structure-agnostic material property prediction0Machine learning and AI-driven digital twins in manufacturing of advanced metal alloys and compounds: A review1Applications and challenges of machine learning in metal additive manufacturing0AI‐driven discovery of feasible 3D printing configurations for metal alloys0Machine learning for optimising laser powder bed fusion and electron beam melting processes in CoCr-based alloy manufacturing for hip arthroplasty: a perspective0Process-informed differentiable build planning of compositionally graded materials0

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26 direct citing papers saved.

  1. Fostering strengths against hydrogen embrittlement: insights from nanotwin-ability and post-treatment effects in additively manufactured CoCrFeMnNi

    Materials Research Letters · 2024-07-09

    Renhao Wu, Soung Yeoul Ahn, Yeon Taek Choi, Hyojin Park, Man Jae SaGong, ganesh sattineni, Hyeonseok Kwon, Sang Guk Jeong, Gitaek Lee, Ho Hyeong Lee, Haiming Zhang, Hyoung Seop Kim

    Read original paper ↗ ·

  2. Data-augmented modeling in laser powder bed fusion: A Bayesian approach

    Additive manufacturing · 2024-09-01

    Peter Morcos, Brent Vela, Cafer Acemi, Alaa H. Elwany, İbrahim Karaman, Raymundo Arróyave

    Read original paper ↗ ·

  3. Recent progress in high-entropy alloys for laser powder bed fusion: Design, processing, microstructure, and performance

    Materials Science and Engineering R Reports · 2024-09-09

    Asker Jarlöv, Zhiguang Zhu, Weiming Ji, Shubo Gao, Zhiheng Hu, Priyanka Vivegananthan, Yujia Tian, Devesh R. Kripalani, Haiyang Fan, Hang Li Seet, Changjun Han, Liming Tan, Feng Liu, Mui Ling Sharon Nai, Kun Zhou

    Read original paper ↗ ·

  4. Multi-objective, multi-constraint high-throughput design, synthesis, and characterization of tungsten-containing refractory multi-principal element alloys

    Acta Materialia · 2024-09-11

    Cafer Acemi, Brent Vela, Eli Norris, William Trehern, Kadri Can Atli, C. Cleek, Raymundo Arróyave, İbrahim Karaman

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  5. Investigating Melt Pool Dimensions in Laser Powder Bed Fusion of Nitinol: An Analytical Approach

    Advanced Engineering Materials · 2024-11-13

    Sampreet Rangaswamy, Declan Bourke, Medad C.C. Monu, Paul M. Healy, Hengfeng Gu, Inam Ul Ahad, Dermot Brabazon

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  6. Laser powder bed fusion of porous 304SS samples for use in developing oil impregnated ball bearings

    Discover Applied Sciences · 2024-11-28

    Tafadzwa Mashayamombe, Stephen Matope

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  7. Achieving sustainability by additive manufacturing: a state-of-the-art review and perspectives

    Virtual and Physical Prototyping · 2024-12-09

    Jinlong Su, Wei Long Ng, Jia An, Wai Yee Yeong, Chee Kai Chua, Swee Leong Sing

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  8. Additive manufactured enabled digital metallurgy processes, challenges and future prospects

    Applied Materials Today · 2024-12-31

    Sohail Ali, Mayur Jiyalal Prajapati, Chinmai Bhat, Cho‐Pei Jiang, Jeng‐Ywan Jeng

    Read original paper ↗ ·

  9. Hochtemperaturlegierungen

    Springer eBooks · 2025-01-01

    Hans Jürgen Maier, Thomas Niendorf, Ralf Bürgel

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  10. Barriers to Adoption of Artificial Intelligence in Metal Additive Manufacturing

    Unknown journal · 2025-01-14

    Wayne E. King

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  11. Computationally guided composition optimization of Ni50–xFe25Co25Cux for additive manufacturing

    International Journal of Mechanical Sciences · 2025-03-15

    Asker Jarlöv, Zhiheng Hu, Weiming Ji, Shubo Gao, Yung Zhen Lek, Kwang Boon Lau, Aditya Ramesh, Boyuan Li, Pei Wang, Mui Ling Sharon Nai, Kun Zhou

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  12. Microstructural heterogeneities in additively manufactured refractory alloy C103 and their implications for room and elevated temperature mechanical behavior

    Materials Science and Engineering A · 2025-05-16

    Saket Thapliyal, Jessika V. Rojas, Sebastien N. Dryepondt, Brian Jordan, Christopher Ledford, Andrés Márquez Rossy, Michael M. Kirka

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  13. A generalized mechanical blocking criterion for the columnar-to-equiaxed transition during additive manufacturing

    Additive Manufacturing Letters · 2025-05-28

    Christopher A. Hareland, Maria‐Ioanna T. Tzini, Florian Hengsbach, Gregory B. Olson, Peter W. Voorhees

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  14. A review of additive manufacturing heat-resistant aluminum alloys: Materials, properties and strengthening strategies at high temperature

    International Materials Reviews · 2025-08-25

    Yue-ting Wang, Xizhen Xia, Ruidi Li, Tong Wang, Tiechui Yuan

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  15. Phase stability in additively manufactured N-doped CoCrMo alloys via in-situ synchrotron X-ray diffraction during tensile testing

    Materials Research Letters · 2025-09-24

    Decheng Kong, Gaoming Zhu, Daixiu Wei, Guoliang Zhu, Chaofang Dong

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  16. Achieving synergistic printability and mechanical property enhancement in Ni superalloys via tailored primary precipitate interfaces

    Materials Research Letters · 2025-10-23

    Xingming Yang, Jiabo Fu, Jinqian Zhang, Minghao Huang, Hao Yu, Wei Xu

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  17. From prediction to performance: Machine learning-guided discovery and validation of Cu-doped Co3O4 for enhanced oxygen evolution reaction

    International Journal of Hydrogen Energy · 2025-12-27

    Qais M. Al‐Bataineh, Ahmad Ahmad, Areen A. Bani‐Salameh, Gaith Rjoub, Gabriela Toader, Aurel Diacon, Ana-Mihaela Gavrilă, Celina Maria Damian, Ahmad Telfah

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  18. From process to performance: a review on laser additive manufacturing of eutectic high-entropy alloys

    Materials & Design · 2026-03-03

    Yixuan Sun, Chunjin Wang, Rui Gao, Dongdong Zhang, Song Ni, Chi Fai Cheung, Zibin Chen

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  19. A review on the role of machine learning in enabling digital twins for process–structure mapping and alloy design in additive manufacturing

    Materials Today Communications · 2026-04-01

    Pranav Abishai Moses, Shashank Sharma, Sharad Sharma, Narendra B. Dahotre

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  20. Phase Lab: a cloud-native CALPHAD-to-data platform for accelerated alloy design and AI/ICME/MGE workflows

    Journal of Materials Informatics · 2026-05-28

    Lihui Yan, Qiaojun Wu, Yikai Chen, Rui Dong, Weijie Zhang, Kui Gong, Xingjun Liu, Yin Wang

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  21. BiL-AttNet: A deep learning architecture for structure-agnostic material property prediction

    Computational Materials Science · 2026-05-31

    Rila Huobu, Wei Zhang, Chaoyi Kong, Jianfan Yin

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  22. Machine learning and AI-driven digital twins in manufacturing of advanced metal alloys and compounds: A review

    Next Materials · 2026-06-25

    Mohsen Soori, Behrooz Arezoo B

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  23. Applications and challenges of machine learning in metal additive manufacturing

    Materials Research Letters · 2026-07-23

    Xianzhe Peng, Zikang Xie, Yuan Liu, Pengcheng Hu, Lian Zhang, Mingyu Wang, Wenchao Ke

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  24. AI‐driven discovery of feasible 3D printing configurations for metal alloys

    AI Magazine · 2026-08-22

    Azza Fadhel, Nathaniel W. Zuckschwerdt, Aryan Deshwal, Susmita Bose, Amit Kumar Bandyopadhyay, Jana Doppa

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  25. Machine learning for optimising laser powder bed fusion and electron beam melting processes in CoCr-based alloy manufacturing for hip arthroplasty: a perspective

    Journal of the Brazilian Society of Mechanical Sciences and Engineering · 2026-09-02

    Nurul Akmal Che Lah, Mas Ayu Hassan

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  26. Process-informed differentiable build planning of compositionally graded materials

    Virtual and Physical Prototyping · 2026-09-07

    Borna Rahnamay Farnod, Zhening Yang, Shuang Lin, Zi‐Kui Liu, Allison M. Beese, Wesley F. Reinhart

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