Chao Zhang

Kort presentation

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

We are also part of the materials modelling community TEOROO and Ångström Advanced Battery Centre ÅABC.

If you are a student interested in computational chemistry, check this out.

Nyckelord

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

Biografi

Biosketch:

• https://yacadeuro.org/zhang/

Employment and educational background:

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

Professional services:

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