Lisa Sahlmann

Lisa Sahlmann
Helmholtz-Zentrum Hereon | HZG

Master of Science

About

4
Publications
312
Reads
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2
Citations
Citations since 2016
4 Research Items
2 Citations
20162017201820192020202120220.00.51.01.52.0
20162017201820192020202120220.00.51.01.52.0
20162017201820192020202120220.00.51.01.52.0
20162017201820192020202120220.00.51.01.52.0
Education
August 2019 - December 2019
Karlstads Universitet
Field of study
October 2018 - March 2021
Technische Universität Dresden
Field of study
  • Computational Modeling and Simulation
October 2014 - November 2018
Technische Universität Dresden
Field of study
  • Mathematics

Publications

Publications (4)
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...
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

Cited By

Projects

Project (1)
Project
We establish an Open Innovation Platform for modelling supported design of inhibiting active protective coatings and corresponding accelerator tests for assessing their in-service durability. The main focus of the project is to promote development of a green technology for smart protective coatings based on materials modelling and optimization.