Computational Materials Group (CMG) lead by Prof. D. Aksyonov is developing new electrode materials for metal-ion batteries using computational methods. The supreme ingredient of success is a deep understanding of the material’ properties on the atomic and electronic level, which can be achieved with modeling.
- Computational design of solid/solid and solid/liquid interfaces for metal-ion batteries (Applied Surface Science 537 (2021) 147750)
- Advanced study of defects in electrodes for metal-ion batteries (Inorg. Chem. 2021, 60, 5497−5506)
- Understanding cation migration barriers in oxide and phosphate based cathode materials with DFT calculations (Computational Materials Science 154 (2018) 449–458)
- Development of computational framework SIMAN for high-throughput DFT calculations (https://github.com/dimonaks/siman)
Figure 1. Easier formation of surface antisite defect in layered oxides discovered with DFT+U oxides. From Applied Surface Science 537 (2021) 147750
Figure 2. Combined DFT + X-Ray + Neutron diffraction refined hydrogen defects in LiFePO4 cathode material. From Inorg. Chem. 2021, 60, 5497−5506