About
Combines first-principles simulation and machine learning to screen battery materials.
Research interests
PhD supervision
Interested in candidates who can bring their own scholarship.
Publications
Advances in Energy Storage: a five-year review
Nature Energy · 2025 · 10.1000/demo.852fb5ea
Scalable approaches to battery modelling for practical deployment
Joule · 2024 · 10.1000/demo.d9aa9a7d
Characterising DFT under realistic operating conditions
Energy & Environmental Science · 2023 · 10.1000/demo.4126d331
Current projects
Next-generation energy storage at scale
A multi-year programme led by Dr. Tobias Frank focused on battery modelling and DFT.
Energy Storage · ongoing · Funding: Institutional funding
Open PhD positions
PhD position in energy storage (battery modelling)
Join the group of Dr. Tobias Frank at Karlsruhe Institute of Technology to work on battery modelling, DFT, machine learning.
Deadline 2027-03-21 · Funding varies