Machine-Learning-Assisted Accurate Band Gap Predictions of Functionalized MXene
Accelerated Data-Driven Accurate Positioning of the Band Edges of MXenes
Atomistic Origin of Phase Stability in Oxygen-Functionalized MXene: A Comparative Study
Recent advances in MXenes: From fundamentals to applications
Feature Blending: An Approach toward Generalized Machine Learning Models for Property Prediction
Accelerated Discovery of the Valley-Polarized Quantum Anomalous Hall Effect in MXenes
Chemical hardness-driven interpretable machine learning approach for rapid search of photocatalysts
Development of Vickers hardness prediction models via microstructural analysis and machine learning
Accelerated prediction of Vickers hardness of Co- and Ni-based superalloys from microstructure and composition using advanced image processing techniques and machine learning
Unraveling the role of bonding chemistry in connecting electronic and thermal transport by machine learning
Coupling the High-Throughput Property Map to Machine Learning for Predicting Lattice Thermal Conductivity
A functional materials database