Inverse Design of High-Entropy Superalloys Using Machine Learning and Generative Artificial Intelligence
Closed-Loop Workflow of High-Entropy Materials Discovery: Efficient and Accurate Synthesizability Prediction via Domain-Specific Local LLMs
Three-dimensional deconvolution for large-angle illumination annular dark-field scanning transmission electron microscopy depth sectioning
TEM Agent: enhancing transmission electron microscopy (TEM) with modern AI tools
Equivalence of charged and neutral density functional formulations for correcting the many-body self-interaction of polarons
Spatio-temporal, multi-field deep learning of shock propagation in meso-structured media
PRISM: Periodic Representation with multIscale and Similarity graph Modelling for enhanced crystal structure property prediction
Flexible Uncertainty Calibration for Machine-Learned Interatomic Potentials
Promising ferroelectric metal EuAuBi with switchable giant shift current
Topology-enabled Quantum Toroidal Moment in Carbon Nanotori