Angew. Chem. Int. Ed.: Single-walled carbon nanotubes (SWCNTs) are used as fluorescent probes/sensors for biomolecules in the near infrared (NIR) tissue transparency window.

Angew. Chem. Int. Ed.: A proof of concept for a salt waste free carboxylation of acetylene using a pH-switch triggered by CO2 pressure. This enables the production of C4-platform chemicals like dimethyl succinate from biogas and hydrogen. The correct choice of solvent is shown to play an critical role.

Nuc. Aci. Res.: Revealing the critical aspect of defined motional features for affinity and specificity in the DNA/protein interaction, providing unexpected prospects for further design progress in this novel area of DNA recognition.

Phys. Rev. Lett.: An unexpected "inside-out" solvation pattern was observed by studying Cs+ hydration on a Cu(111) surface. Using a combination of experimental and theoretical methods they found Cs+ ions favoring the edges of water clusters on the metal surface and the formation of water-Cs complexes with multiple Cs+ ions.

At the New Year's reception of "RESOLV - Ruhr explores solvation", the joint Cluster of Excellence of TU Dortmund University and Ruhr-Universität Bochum (RUB), numerous scientists and students of both universities came together on February 23 to look back on the past year and to look forward together to the year ahead.

PNAS: A new experiment has made it possible to observe the effects of an electron in solution on the surrounding liquid.

J. Am. Chem. Soc. : Protein dysfunctions contribute to diseases by undergoing two key processes: forming liquid droplets (LLPS) and creating solid clumps called amyloid fibrils.

Nat. Commun.: Inspired by function-rich biostructures, a host-guest system was formed that exhibits surprisingly low symmetry. In this way circularly polarized luminescence (CPL) emanating from the guest molecule, could be significantly improved.

Coupled Cluster Theory, a precise electronic structure method, is usually limited to small systems. Researchers have developed an automated neural network approach to extend its accuracy to larger systems like liquid water, making it efficient and versatile for various complex systems.