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Accelerating phase-field simulation of coupled microstructural evolution using autoencoder-based recurrent neural networks

Machine learning for predictive design and optimization of high-performance thermoelectric materials: a review

DSMR: an AI framework for exploring combinations of data and algorithm to overcome efficiency-accuracy trade-off

Farthest point sampling in property designated chemical feature space as an effective strategy for enhancing the machine learning model performance for small scale chemical dataset

Effects of nonlinearity and inter-feature coupling in machine learning studies of Nb alloys with center-environment features

Exploring generic fractions of multi-origin asphalts and revisiting the linkage to their bulk properties via machine learning

Machine learning-enabled optoelectronic material discovery: a comprehensive review

Active learning-based generative design of halogen-free flame-retardant polymeric composites

Neuroevolution potential for thermal transport in silicon carbide

Hot deformation behavior investigation of heat-resistant aluminum matrix composite based on Arrhenius model and machine learning

Phase-field-informed machine learning on creep behavior of Ni-based single-crystal superalloys

Effect of material properties on the thermal responses of the carbonization and pyrolysis layers of polymer matrix composites for charring-ablators