معرفی
Dorothea Golze is a Visiting Professor at the Department of Applied Physics, focusing on Computational Electronic Structure Theory. Her research bridges quantum mechanics, materials science, and computational methods.
- Doctoral Degree: Natural Sciences, Universität Zürich (2016)
Her work centers on the GW Method and Density Functional Theory (DFT), with a focus on core-level spectroscopy, excitation energies, and low-scaling algorithms. She develops machine-learning models for carbon-based materials and explores two-dimensional systems like phosphorene nanosheets.
Recent publications highlight trends in high-accuracy electronic structure calculations, time-frequency component analysis, and efficient GW implementations. Her methods aim to reduce computational costs while maintaining precision for large-scale systems.
She has organized workshops such as GW goes large-scale and engaged in external collaborations, including a visit to Duke University. Her research has been featured in media by Technical University Dresden and Columbia Engineering.
