Most Cited Papers In Last Two Years

Large language models enabled intelligent microstructure optimization and defects classification of welded titanium alloys

Machine learning enhanced characterization and optimization of photonic cured MAPbI₃ for efficient perovskite solar cells

Transformative strategies in photocatalyst design: merging computational methods and deep learning

Efficient prediction of potential energy surface and physical properties with Kolmogorov-Arnold Networks

N-heterocyclic carbene coordinated single atom catalysts on C₂N for enhanced nitrogen reduction

Exploring phase transitions in CdSe: a machine learning and swarm intelligence approach

Identifying determinants of γ' phase coarsening behavior in Co/CoNi-based superalloys with explainable artificial intelligence (XAI)

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