Chao Zhang

Short presentation

TeC group (https://tec-group.github.io) works on the modelling of electrochemical systems with atomistic simulation and machine learning. We are funded by Vetenskapsrådet (VR), the European Research Council (ERC), and the Wallenberg Initiative Materials Science for Sustainability (WISE).

We are also part of the materials modelling community TEOROO based at Kemi-Ångström.

If you are a student and interested in studying Theoretical and Computational Chemistry at Uppsala, check out here.

Keywords

• density functional theory
• molecular dynamics
• electrolytes
• atomistic machine learning
• electrified interfaces
• electrochemical energy materials

Biography

Biosketch:

• https://yacadeuro.org/zhang/

Employment and educational background:

• https://orcid.org/0000-0002-7167-0840

Professional services:

• Member of the editorial advisory board (EAB) for J. Chem. Phys., Mater. Today Energy and J. Electrochem.;
• Member of the management committee (MC) in COST Action DAEMON.