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

News

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.

June 10th, 2019

New scanning quantum dot microscopy (SQDM) paper online. Quantitative measurements of surface potentials and dipoles. New window to the nanoscale world. Read at Nature Materials Read full-text w/o subscription Press release
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