Citing Articles For: Machine-Learning Prediction of Charged-Defect Formation Energies from Crystal Structures

Active-learning inspired ab initio theory-experiment loop approach for management of material defects: Application to superconducting qubits

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Machine-Learning-Driven Discovery of Water Splitting BaFe2O4 and Human-in-the-Loop Improvement via Al-Substitution for Increased Thermal Stability

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Machine-Learning Prediction of Charged-Defect Formation Energies from Crystal Structures

Active-learning inspired ab initio theory-experiment loop approach for management of material defects: Application to superconducting qubits

Accelerating point-defect simulations using data-driven and machine learning approaches

Oxygen-Deficiency-Driven Phase Segregation Enables Enhanced Hole Transport in Amorphous Tellurium Oxides

Machine learning approaches to point defects in non-metallic materials: a review of methods

Machine-Learning-Driven Discovery of Water Splitting BaFe2O4 and Human-in-the-Loop Improvement via Al-Substitution for Increased Thermal Stability

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