🎓 We are thrilled to announce that Luis Antonio Panes Ruiz, a PhD student from our chair, successfully defended his thesis on "Gas sensors and biosensors based on functionalized single-walled carbon nanotubes" today! 🌟 Congratulations, Dr. Luis Antonio Panes Ruiz!🎉

#Nanoseminar at our chair: Dr. Hana Lísalová presented a new antifouling terpolymer brush with a superior combination of antifouling and biofunctionalization capabilities over similar bio-functional coatings. #biosensing #nanocoatings #biofunctionalization

Density-functional tight binding + neural networks 🕸️ Thanks to Leonardo Medrano Sandonas (NanoMat Chair at TUD) for presenting at our seminar 👏 Nicely organized Johannes Hoja (QuantChem) 🤝 Are you using machine learning in your work 🧠 #compchem ACS Publications: pubs.acs.org/doi/full/10.10…

We are pleased to announce that @Geraldine_Hay, a Deputy Editor for the materials chemistry portfolio at the Royal Society of Chemistry, delivered a special talk during our nanoseminar on navigating the publishing process at the journal. J. Mater. Chem. family, Nanoscale journal family

We are hiring! We have an open PhD position for the computational investigation of (a)chiral 2D Polymers/COFs! Work with us in a highly interdisciplinary field within the CRC 1415 project with exciting chemistry, physics and materials science! Apply here: nano-tud.de/open_job/CRC14…

During today's #nanoseminar, Prof. Zhaoli Gao presented a method for the scalable fabrication of 2D-biosensor arrays designed for multiplexed detection of disease biomarkers.

Honored to host you at our chair dear Max (@MaxDiVentra!) for the coming months. linkedin.com/posts/ucsdphys…

#Nanoseminar at our chair: Dr. Dennis Della Corte presented interdisciplinary applications of data science methods across protein engineering, drug discovery, and pathology.

Exciting new research from Prof. Louis Bouchard's group! Ranked in the top 5% of all research outputs scored by Altmetric. @ucla @uclaphyssi nature.com/articles/s4146…

#Nanoseminar: Prof. Massimiliano Di Ventra gave us a brief introduction to the #Memcomputing paradigm and discussed its application in the field of Machine Learning. Afterwards, all members of our chair briefly presented their science projects to Massimiliano Di Ventra.

Preprint alert We introduce the MORE-Q dataset, which aims towards a quantum-mechanical description of molecular sensors for digital olfaction. Li Chen Leonardo Medrano Sandonas Alex chemrxiv.org/engage/chemrxi…