Materials Center Leoben (Austria)

Inducing Room Temperature Ferromagnetism in Phyllosilicates via Iron Implantation

Abstract The modulation of intrinsic two-dimensional (2D) ferromagnetism has attracted significant attention due to its potential applications in spintronics and magnetic field sensing. However, the limited availability of intrinsically magnetic 2D materials has driven the explor...

AutoPot: Automated and massively parallelized construction of machine-learning potentials

Machine-learning potentials (MLIPs) have been a breakthrough for computational physics in bringing the accuracy of quantum mechanics to atomistic modeling. To achieve near-quantum accuracy, it is necessary that neighborhoods contained in the training set are rather close to the o...

Accelerating ML-based super-resolution for gigapixel-scale acoustic imaging

Abstract Gigapixel-scale acoustic imaging is increasingly used in biology, materials science or industrial failure-analysis to capture fine structural details across large fields of view (FOV). Automated analysis is essential for interpreting these datasets, yet a large pixel-cou...