Optical materials discovery and design via federated databases and machine learning

Combination of ab initio descriptors and machine learning approach for the prediction of the plasticity mechanisms in β-metastable Ti alloys

Influence of roughness and coating on the rebound of droplets on fabrics

A simple denoising approach to exploit multi-fidelity data for machine learning materials properties

Accurate experimental band gap predictions with multifidelity correction learning

Robust model benchmarking and bias-imbalance in data-driven materials science: a case study on MODNet

Materials property prediction for limited datasets enabled by feature selection and joint learning with MODNet

Vibrational properties of solids : a machine learning approach