| Funding period: | Oct. 1, 2019 to March 31, 2024 |
| Agency: | EU MSCA-ITN |
| Further details: | https://ultimate.u-strasbg.fr/ |
We acknowledge funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie
grant agreement No 813036.
Bottom-Up generation of atomicalLy precise syntheTIc 2D MATerials for high performance in energy and Electronic applications – A multi-site innovative training action (ULTIMATE)
Bottom-up generation of atomically precise synthetic 2D materials for high performance in energy and electronic applications – A multi-site innovative training action
Ultimate is a cooperative research project funded by the European Union that aims at synthesizing and understanding novel atomically precise 2D materials and finding ways to exploit their unique and tunable properties for electronics and energy applications. We massively use modern approaches of computational materials science in combination with efficient methods for data analysis to compute and predict properties of synthetic 2D materials in close collaboration with experimental groups in Europe.
| Funding period: | Oct. 1, 2019 to March 31, 2024 |
| Agency: | EU MSCA-ITN |
| Further details: | https://ultimate.u-strasbg.fr/ |
We acknowledge funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie
grant agreement No 813036.
Bottom-Up generation of atomicalLy precise syntheTIc 2D MATerials for high performance in energy and Electronic applications – A multi-site innovative training action (ULTIMATE)
Bottom-up generation of atomically precise synthetic 2D materials for high performance in energy and electronic applications – A multi-site innovative training action
Ultimate is a cooperative research project funded by the European Union that aims at synthesizing and understanding novel atomically precise 2D materials and finding ways to exploit their unique and tunable properties for electronics and energy applications. We massively use modern approaches of computational materials science in combination with efficient methods for data analysis to compute and predict properties of synthetic 2D materials in close collaboration with experimental groups in Europe.
