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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

Ferroelectricity, Antiferroelectricity, and Ultrathin 2D Electron/Hole Gas in Multifunctional Monolayer MXene