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Metal AM process-structure-property relational linkages using Gaussian process surrogates
Robert N. Saunders, Kirubel Teferra, Alaa H. Elwany, John G. Michopoulos, Dimitris C. Lagoudas
United States Naval Research Laboratory Texas A&M University
来源Additive manufacturing
年份2023
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学术脉络
学科主题
工程Additive Manufacturing Materials and Processes
Machine Learning in Materials Science · Gaussian Processes and Bayesian Inference
参考文献 92
Gaussian Processes in Machine Learning
被引 5,474Carl Edward Rasmussen · Lecture notes in computer science · 2004
Cokriging-Based Sequential Design Strategies Using Fast Cross-Validation Techniques for Multi-Fidelity Computer Codes
被引 115Loïc Le Gratiet, Claire Cannamela · Technometrics · 2015
RECURSIVE CO-KRIGING MODEL FOR DESIGN OF COMPUTER EXPERIMENTS WITH MULTIPLE LEVELS OF FIDELITY
被引 399Loïc Le Gratiet, Josselin C. Garnier · International Journal for Uncertainty Quantification · 2014
此处列出前 3 条
引用本文 42
Revolutionizing manufacturing: A comprehensive overview of additive manufacturing processes, materials, developments, and challenges
被引 343Kumar Kanishka, Bappa Acherjee · Journal of Manufacturing Processes · 2023
State-of-the-art review on fused deposition modeling (FDM) for 3D printing of polymer blends and composites: innovations, challenges, and applications
被引 87Shafahat Ali, Ibrahim Deiab, Salman Pervaiz · The International Journal of Advanced Manufacturing Technology · 2024
Towards inverse microstructure-centered materials design using generative phase-field modeling and deep variational autoencoders
被引 57Vahid Attari, Danial Khatamsaz, Douglas Allaire · Acta Materialia · 2023
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