A rapid and effective method for alloy materials design via sample data transfer machine learning

A predictive machine learning approach for microstructure optimization and materials design

Nanostructural hierarchy increases the strength of aluminium alloys

Design and prediction of metal organic framework-based mixed matrix membranes for CO2 capture via machine learning - ScienceDirect

A physics-informed neural network framework to predict 3D temperature field without labeled data in process of laser metal deposition - ScienceDirect

MLMD: a programming-free AI platform to predict and design materials

Articles npj Computational Materials

Scanning electron micrograph of the fracture surface of a

Machine-learning and high-throughput studies for high-entropy materials - ScienceDirect

MLMD: a programming-free AI platform to predict and design materials

A rapid and effective method for alloy materials design via sample data transfer machine learning

Machine learning for perovskite materials design and discovery

Comparison of alloy composition fluctuations between the P2C model and

a) Time to peakage hardness of alloy with silver without prestraining.