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| Date | Time | Title | Speaker | | Date | Time | Title | Speaker |
| ------ | ------ | ------ | ------ | | ------ | ------ | ------ | ------ |
| Dec. 6th | 14:30 - 15:00 | Design of High-performance Electrocatalysts | Dec. 6th | 14:30 - 15:00 | Design of High-performance Electrocatalysts for Green Hydrogen Production and Uses: A Computational Materials Science Approach | Dr. Byung-Hyun Kim |
for Green Hydrogen Production and Uses: A Computational Materials Science Approach | Dr. Byung-Hyun Kim |
## Abstract ## Abstract
Environmental issues and dependence on fossil fuels have triggered the worldwide energy transition towards next-generation technologies including high-efficiency low-cost photovoltaics, wind power generation, batteries for energy storage systems and electric vehicles, hydrogen production, efficient hydrogen storage, fuel cells, and so on. To realize the so-called ‘carbon neutral’ energy transition, the development of advanced energy materials which should not only exhibit high efficiency and performance but also be eco-friendly and sustainable to overcome the limitations of current technologies is still needed. Recently, computational materials science has been regarded as an essential tool to investigate and establish the structure-property relationship for the materials design with new or better functions. The number of successful examples of developing new energy materials based on computational materials science has rapidly increased, which reflects the fact that the effective utilization of computational materials science becomes inevitable even in the renewable energy research field. Environmental issues and dependence on fossil fuels have triggered the worldwide energy transition towards next-generation technologies including high-efficiency low-cost photovoltaics, wind power generation, batteries for energy storage systems and electric vehicles, hydrogen production, efficient hydrogen storage, fuel cells, and so on. To realize the so-called ‘carbon neutral’ energy transition, the development of advanced energy materials which should not only exhibit high efficiency and performance but also be eco-friendly and sustainable to overcome the limitations of current technologies is still needed. Recently, computational materials science has been regarded as an essential tool to investigate and establish the structure-property relationship for the materials design with new or better functions. The number of successful examples of developing new energy materials based on computational materials science has rapidly increased, which reflects the fact that the effective utilization of computational materials science becomes inevitable even in the renewable energy research field.
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