All Articles

Prediction of temperature-dependent yield strength of refractory high entropy alloy based on stacking integrated framework

An integrated design of novel RAFM steels with targeted microstructures and tensile properties using machine learning and CALPHAD

A survey of energies from pure metals to multi-principal element alloys

Knowledge assisted machine learning to clarify pore influence on fatigue life of forging/additive hybrid manufactured Ti-17 alloy

Simple formula learned via machine learning for creep rupture life prediction of high-temperature titanium alloys

Multi-model integration accelerates Al-Zn-Mg-Cu alloy screening

Fast parameter optimization for high-fidelity crystal plasticity simulation using active learning

Phthalonitrile melting point prediction enabled by multi-fidelity learning

CGWGAN: crystal generative framework based on Wyckoff generative adversarial network

Machine learning driven design of high-performance Al alloys

Automated production of batched unclonable micro-patterns anti-counterfeiting labels with strong robustness and rapid recognition speed

Machine learning descriptors for crystal materials: applications in Ni-rich layered cathode and lithium anode materials for high-energy-density lithium batteries

Machine learning-assisted prediction, screen, and interpretation of porous carbon materials for high-performance supercapacitors

Machine learning assisted crystal structure prediction made simple

Applications of machine learning method in high-performance materials design: a review

Data-driven exploration and first-principles analysis of perovskite material

Borides as promising M₂AX phase materials with high elastic modulus using machine learning and optimization

A new framework for predicting tensile stress of natural rubber based on data augmentation and molecular dynamics simulation data