Showing 1–12 of 12 results
/ Date/ Name
Apr 27, 2022Accelerating Materials-Space Exploration for Thermal Insulators by Mapping Materials Properties via Artificial IntelligenceJun 25, 2020Anharmonicity Measure for MaterialsFeb 1, 2024Roadmap on Data-Centric Materials ScienceSep 26, 2022Anharmonicity in Thermal Insulators: An Analysis from First PrinciplesSep 26, 2024Prediction of the Infrared Absorbance Intensities and Frequencies of Hydrocarbons:A Message Passing Neural Network ApproachApr 30, 2025Roadmap on Advancements of the FHI-aims Software PackageAug 5, 2019Parametrically Constrained Geometry Relaxations for High-Throughput Materials ScienceDec 1, 2021Interpretable Machine Learning for Materials DesignFeb 25, 2022Hierarchical symbolic regression for identifying key physical parameters correlated with bulk properties of perovskitesSep 18, 2024Accelerating the Training and Improving the Reliability of Machine-Learned Interatomic Potentials for Strongly Anharmonic Materials through Active LearningMay 2, 2023Recent advances in the SISSO method and their implementation in the SISSO++ codeFeb 27, 2025A high-performance and portable implementation of the SISSO method for CPUs and GPUs