Projects per year
Abstract
Density functional theory calculations are combined with machine learning to investigate the coverage-dependent charge transfer at the tetracyanoethylene/Cu(111) hybrid organic/inorganic interface. The study finds two different monolayer phases, which exhibit a qualitatively different charge-transfer behavior. Our results refute previous theories of long-range charge transfer to molecules not in direct contact with the surface. Instead, they demonstrate that experimental evidence supports our hypothesis of a coverage-dependent structural reorientation of the first monolayer. Such phase transitions at interfaces may be more common than currently envisioned, beckoning a thorough reevaluation of organic/inorganic interfaces.
Original language | English |
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Article number | 2000992 |
Number of pages | 7 |
Journal | Advanced Science |
Volume | 7 |
Issue number | 15 |
Early online date | 1 Jan 2020 |
DOIs | |
Publication status | Published - Aug 2020 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Bayesian inference
- charge transfer
- density functional theory
- hybrid interfaces
- machine learning
- organic electronics
- structure search
- vibrations
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Dive into the research topics of 'Charge Transfer into Organic Thin Films: A Deeper Insight through Machine-Learning-Assisted Structure Search'. Together they form a unique fingerprint.Projects
- 2 Finished
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Artificial intelligence/Rinke
Rinke, P., Lehto, E., Geurts, A., Ghosh, K., Himanen, L., Li, J., Todorovic, M. & Homm, H.
01/01/2018 → 31/12/2021
Project: Academy of Finland: Other research funding
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COMP II/Törmä/Rinke
Järvi, J., Li, J., Rinke, P., Levard, H., Dvorak, M. & Todorovic, M.
01/01/2016 → 31/12/2017
Project: Academy of Finland: Other research funding