Molecular Manipulation Lab

Once we can freely arrange and combine even a handful of atoms and molecules, a myriad of designer quantum systems can be constructed and studied. In the MoMaLab, we address the challenges of SPM-based molecular manipulation by combining experiments, simulations, machine learning, and control theory. Read more...

We develop and use high performance molecular mechanics simulations.
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Real-time simulation

Can concepts of control theory be used at the molecular scale?
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Control theory

How to decipher molecular conformations with machine learning?
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Big Data

Low-temperature SPM

We control our SPM using a virtual reality.
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Virtual reality interface


September 8th, 2022

Warmest congratulations to Taner Esat for winning the Gerhard Ertl Young Investigator Award for his outstanding work in surface science, particularly metastable standing molecules.

April 7th, 2022

Want to make your own standing molecule? "Design Principles for Metastable Standing Molecules" Read at J. Phys. Chem. C

October 10th, 2021

We finally knocked it down: "The stabilization potential of a standing molecule" Read at Science Advances Press release

October 22nd, 2020

Introducing machine learning to the nanoscale: "Autonomous robotic nanofabrication with reinforcement learning" Read at Science Advances Press release

July 2020

Our Helmholtz-AI project MomoNano (together with HZB and TU-Berlin) successfully competed for a three year funding by the Helmholtz Association.

September 2nd, 2020

"The theory of scanning quantum dot microscopy" Read at J Phys. Cond. Mat.
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