2 citations · 2 across the 3 of their papers we have counts for
3 papers
Out-of-distribution generalization of deep-learning surrogates for 2D PDE-generated dynamics in the small-data regime
Binh Duong Nguyen, Stefan Sandfeld
Partial differential equations (PDEs) are a central tool for modeling the dynamics of physical, engineering, and materials systems, but high-fidelity simulations are often computat…
Combining unsupervised and supervised learning in microscopy enables defect analysis of a full 4H-SiC wafer
Binh Duong Nguyen, Johannes Steiner, Peter Wellmann +1
Detecting and analyzing various defect types in semiconductor materials is an important prerequisite for understanding the underlying mechanisms as well as tailoring the production…
Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties
Binh Duong Nguyen, Pavlo Potapenko, Aytekin Dermici +3
Determining, understanding, and predicting the so-called structure-property relation is an important task in many scientific disciplines, such as chemistry, biology, meteorology, p…