All Articles

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

A deep neural network potential model for transition metal diborides

Lithium-ion battery health prognosis via electrochemical impedance spectroscopy using CNN-BiLSTM model

Thermal stability prediction of copolymerized polyimides via an interpretable transfer learning model

Data-driven strategy for bandgap database construction of perovskites and the potential segregation study

Theoretical design of dendrite-free zinc anode through intrinsic descriptors from symbolic regression