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Author

P. Mayr

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Preprint Sep 2026

Probabilistic Deep Learning Framework for Phase Transformation Forecasting aided by In Situ High temperature Microscopy

The mechanical performance of structural materials is governed by their microstructure, which is itself set by the thermal history imposed during processing. Predicting how that microstructure evolves along an arbitrary thermal trajectory, however, remains a challenging problem. Conventional continuous-cooling-transfor...

I. Kouroudis, Niki Balestrieri, S. Rotzsche et al. · 0 citations
Open access Sep 2026

Grey box modeling to predict tensile properties in laser powder bed fusion

Additive Manufacturing is an upcoming technology to produce metal structures in industry as complex near net-shaped structures can be built. One commonly used method is Laser Powder Bed Fusion (PBF-LB), that uses lasers to melt metal powder layer by layer. Alongside advantages that come with this technology, the va...

Florian Funcke, Tobias Forster, Marinus Kolbinger et al. · 0 citations
Open access Aug 2026

GeoHash3D: Robust and Efficient 6-DoF Pose Estimation from 3D Marker Sets

This work proposes an improved geometric hashing method that robustly estimates the rigid transformation in the presence of noise and outliers, and demonstrates its effectiveness and speed using both simulated and real-world datasets.

Lijiu Wang, Kailas Mahalinga Upadhyaya, Oguz Kedilioglu et al. · 0 citations

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