The idea to freely control the atomic-scale structure of matter has intrigued scientists for many decades. A fascinating way to approach this goal is the use of complex functional molecules as pre-fabricated building blocks for nano-scale devices and machines. In the MoMaLab we explore how far the principles of classical engineering, mechanical manipulation and piecewise assembly, can be scaled down to the atomic and molecular scale. Read more...
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▶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. |
