Computational assisted Mg anode design for post Li energy storage devices
Nowadays the development of long-lasting and green energy storage devices is a topic with high social impact. Novel technologies and the electrification of daily life are demanding reliable and efficient power sources being ecologically harmless but also cost-effective. In this context Mg based batteries might offer a promising alternative to conventional Li systems in the future . They have a greater power storage capacity, a few times more than the best performing Li-ion battery. For example, the theoretical volumetric capacity of magnesium metal anodes is 3833 mAh.cm−3, about four times greater than typical graphite anode in a Li-ion battery. Unfortunately, commercialisation of Mg based energy storage devices is very limited due to self-corrosion issues of anode materials for primary (aqueous) cells or lacking electrolytes in case of rechargeable batteries. Complementary, research progress on stable working cathode materials is required as well since available systems are not capable or not adapted to Mg based systems. This talk will discuss computational assisted metallic Mg based material design for future storage devices and iscuss it in the electrochemical system context.