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...
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▶October 22nd, 2020 Congratulations to F. Stefan Tautz for being selected as a Falling Walls Finalist at the Falling Walls and Berlin Science Week Breaking the Wall of Building with Molecules▶September 2nd, 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.▶October 23th, 2019 We have been granted another 3.5 Mio core‑h on JURECA.▶June 27th, 2019 "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▶February 15th, 2019 We welcome Joshua Scheidt, computer science student at Maastricht University, who joins the MoMaLab for his master thesis.▶February 4th, 2019 Hand-controlled STM-based atomic manipulation with real-time visual feedback from an MD simulation Read at Beilstein..▶October 25th, 2018 We have been granted 2 Mio core‑h on JURECA for our simulation work on molecular adsorption and manipulation. |
