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[HTML][HTML] Research and application of machine learning for additive manufacturing
Additive manufacturing (AM) is poised to bring a revolution due to its unique production
paradigm. It offers the prospect of mass customization, flexible production, on-demand and …
paradigm. It offers the prospect of mass customization, flexible production, on-demand and …
Material machine learning for alloys: Applications, challenges and perspectives
X Liu, P Xu, J Zhao, W Lu, M Li, G Wang - Journal of Alloys and Compounds, 2022 - Elsevier
Materials machine learning (ML) is revolutionizing various areas in a fast speed, aiming to
efficiently design novel materials with superior performance. Here we reviewed the recent …
efficiently design novel materials with superior performance. Here we reviewed the recent …
A systematic literature review on recent trends of machine learning applications in additive manufacturing
Additive manufacturing (AM) offers the advantage of producing complex parts more
efficiently and in a lesser production cycle time as compared to conventional subtractive …
efficiently and in a lesser production cycle time as compared to conventional subtractive …
Multifidelity physics-constrained neural networks with minimax architecture
Data sparsity is still the main challenge to apply machine learning models to solve complex
scientific and engineering problems. The root cause is the “curse of dimensionality” in …
scientific and engineering problems. The root cause is the “curse of dimensionality” in …
Directed Energy Deposition via Artificial Intelligence‐Enabled Approaches
U Chadha, SK Selvaraj, AS Lamsal, Y Maddini… - …, 2022 - Wiley Online Library
Additive manufacturing (AM) has been gaining pace, replacing traditional manufacturing
methods. Moreover, artificial intelligence and machine learning implementation has …
methods. Moreover, artificial intelligence and machine learning implementation has …