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Understanding Molecular Monolayer Formation with Machine Learning | ||
The latest publication of the Hofmann group with the title Nonintuitive Surface Self-Assembly of Functionalized Molecules on Ag(111) has just been published in ACS Nano. It shows how we model molecular monolayers, confirm them with experiments (performed at FSU Jena) and extract physical insight from Bayesian learning. The new insights are another step towards in-silico materials design for functional electronics. The work has been covered in Planet Research | ||
Institute of Solid State Physics
