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Symbolic regression accelerates the discovery of quantitative relationships in rubber material aging

Uncertainty aware design space modeling for sample efficiency in material design of bainitic steels

FT²DP: large atomic model fine-tuned machine learning potential for accelerating atomistic simulation of iron-based Fischer-Tropsch synthesis

Multi-objective optimization in machine learning assisted materials design and discovery

How AI guided the development of green hydrogen production: in the case of solid oxide electrolysis cell?

Design of high energy storage ferroelectric materials by phase-field simulations

Deep learning for enhanced porosity detection in AZ91 magnesium alloys using windowed perception and aggregated sensing

Prediction of thermal conductivity in multi-component magnesium alloys based on machine learning and multiscale computation

High-throughput screening of phosphide compounds for potassium-ion conductive cathode application

Industrial big data analysis strategy based on automatic data classification and interpretable knowledge graph

Unveiling defect physics in gapped metals: a theoretical investigation into defect formation and electronic structure interplay

Advancements in the estimation of the state of charge of lithium-ion battery: a comprehensive review of traditional and deep learning approaches