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

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

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

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

Phthalonitrile melting point prediction enabled by multi-fidelity learning

Machine learning driven design of high-performance Al alloys

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