Lisa Sahlmann

Lisa Sahlmann
Helmholtz-Zentrum Hereon | HZG

Master of Science

About

5
Publications
604
Reads
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11
Citations
Education
August 2019 - December 2019
Karlstads Universitet
Field of study
October 2018 - March 2021
TU Dresden
Field of study
  • Computational Modeling and Simulation
October 2014 - November 2018
TU Dresden
Field of study
  • Mathematics

Publications

Publications (5)
Article
Full-text available
Creating durable, eco-friendly coatings for long-term corrosion protection requires innovative strategies to streamline design and development processes, conserve resources, and decrease maintenance costs. In this pursuit, machine learning emerges as a promising catalyst, despite the challenges presented by the scarcity of high-quality datasets in...
Poster
Full-text available
Degradation and damage of a material caused by the influence of adverse environments has a significant impact on the lifetime of products and infrastructures. Hence, reducing the impact of corrosion and the development of effective protection measures is an important step in saving costs and burden on natural resources. Corrosion is a multi physica...
Article
Full-text available
The phase‐field crystal (PFC) model allows for the resolution of atomic‐scale structures on diffusive time scales. It is based on an approximation of the two‐particle direct correlation function in the free energy, which provides the symmetry of the lattice structure. Various approaches have been proposed to model common lattices. We here only focu...
Article
Full-text available
We introduce a graphical user interface for constructing arbitrary tensor networks and specifying common operations like contractions or splitting, denoted GuiTeNet. Tensors are represented as nodes with attached legs, corresponding to the ordered dimensions of the tensor. GuiTeNet visualizes the current network, and instantly generates Python/NumP...
Preprint
We introduce a graphical user interface for constructing arbitrary tensor networks and specifying common operations like contractions or splitting, denoted GuiTeNet. Tensors are represented as nodes with attached legs, corresponding to the ordered dimensions of the tensor. GuiTeNet visualizes the current network, and instantly generates Python/NumP...

Network

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