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20232025
most citedReal-Time 2D Temperature Field Prediction in Metal Additive Manufacturing Using Physics-Informed Neural Networks

5 citations · 5 across the 5 of their papers we have counts for

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2 papers · 1 filter

cs.LG2024

Selecting Subsets of Source Data for Transfer Learning with Applications in Metal Additive Manufacturing

Yifan Tang, M. Rahmani Dehaghani, Pouyan Sajadi +1

Considering data insufficiency in metal additive manufacturing (AM), transfer learning (TL) has been adopted to extract knowledge from source domains (e.g., completed printings) to…

cs.LG2024★ 5 cited

Real-Time 2D Temperature Field Prediction in Metal Additive Manufacturing Using Physics-Informed Neural Networks

Pouyan Sajadi, Mostafa Rahmani Dehaghani, Yifan Tang +1

Accurately predicting the temperature field in metal additive manufacturing (AM) processes is critical to preventing overheating, adjusting process parameters, and ensuring process…