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A machine learning accelerated distributed task management system (Malac-Distmas) and its application in high-throughput CALPHAD computation aiming at efficient alloy design - ScienceDirect
Uncertainty quantification and composition optimization for alloy additive manufacturing through a CALPHAD-based ICME framework | npj Computational Materials
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A machine learning accelerated distributed task management system (Malac-Distmas) and its application in high-throughput CALPHAD computation aiming at efficient alloy design - ScienceDirect
Simulated diagrams obtained by using Thermo-Calc software: (a)... | Download Scientific Diagram
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Thermodynamics-guided alloy and process design for additive manufacturing | Nature Communications
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THERMOCALC download guide – The HPx-eos and THERMOCALC
