Reports from Northwestern University Provide New Insights into Machine Learning (Accelerating Phase-field Simulation of Threedimensional Microstructure Evoluti on In Laser Powder Bed Fusion With Composable Machine Learning Predictions)

Robotics & Machine Learning Daily News2024，Issue(Mar.20) ：36-37.

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Reports from Northwestern University Provide New Insights into Machine Learning (Accelerating Phase-field Simulation of Threedimensional Microstructure Evoluti on In Laser Powder Bed Fusion With Composable Machine Learning Predictions)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating from Evanston, Illinois, by NewsRx correspondents, research stated, “Phase-field (PF) modeling is a vers atile physics-based computational method that has been used to simulate the evol ution of microstructures. The PF method can produce accurate microstructures but suffers from a high computational cost, limiting its use in length scales relev ant to additive manufacturing.”

Key words

Evanston/Illinois/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Northwes tern University

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出版年

2024

Robotics & Machine Learning Daily News

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