Author of the publication

Describing chain-like assembly of ethoxygroup-functionalized organic molecules on Au(111) using high-throughput simulations

, , , , , , , , , , , and . Scientific reports, (December 2021)Funding Information: The authors gratefully acknowledge the GWK support for funding this project by providing computing time through HZDR and the Center for Information Services and HPC (ZIH) at TU Dresden on HRSK-II. Financial support from the Initiative and Networking Fund of the Helmholtz Association (HGF) through Nanonet Research School Funding (VH-KO-606), the HGF-W2/W3 Programme (W2/W3-026) and the HGF-Excellence Network DCM-MatDNA (ExNet-0028-Phase2-3) is kindly acknowledged. Furthermore, this work was supported by the German Federal Ministry of Education and Research (BMBF, 01/S18026A-F) by funding the competence center for Big Data and AI “ScaDS.AI Dresden/Leipzig”. Publisher Copyright: © 2021, The Author(s)..
DOI: 10.1038/s41598-021-93724-5

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

No persons found for author name Wolf, Jannic
add a person with the name Wolf, Jannic
 

Other publications of authors with the same name

A combined experimental and theoretical study of 1,4-bis(phenylethynyl)-2,5-bis(ethoxy)benzene adsorption on Au(111), , , , , , , , , and 1 other author(s). Surf. Sci., 712 (121877): 121877 (October 2021)Describing chain-like assembly of ethoxygroup-functionalized organic molecules on Au(111) using high-throughput simulations, , , , , , , , , and 2 other author(s). Scientific reports, (December 2021)Funding Information: The authors gratefully acknowledge the GWK support for funding this project by providing computing time through HZDR and the Center for Information Services and HPC (ZIH) at TU Dresden on HRSK-II. Financial support from the Initiative and Networking Fund of the Helmholtz Association (HGF) through Nanonet Research School Funding (VH-KO-606), the HGF-W2/W3 Programme (W2/W3-026) and the HGF-Excellence Network DCM-MatDNA (ExNet-0028-Phase2-3) is kindly acknowledged. Furthermore, this work was supported by the German Federal Ministry of Education and Research (BMBF, 01/S18026A-F) by funding the competence center for Big Data and AI “ScaDS.AI Dresden/Leipzig”. Publisher Copyright: © 2021, The Author(s)..