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Pressemitteilungen

ChemRxiv: Preprint-Publikationen

Marcus Rose · Arne Nisters et al.

Tuning the macroligand environment of a solid ruthenium phosphine catalyst for the hydrogenation of CO2 to formate

Kevin Naidoo · Abdullateef Nashed

An in vitro one pot synthetic biology approach to emulating Golgi O-glycosylation divergence in MUC1 and tumor associated MUC1

Sophia Fricke · Mia Salgado et al.

Diffusion power spectra as a window into dynamic materials architecture

Jesse Greener · Nastaran Khodaparastasgarabad et al.

Activation energy measurements to determine metabolic bottlenecks of a bioelectrochemical system studied using microfluidics and the Arrhenius equation

Marcus Rose · Arne Nisters et al.

Tuning the macroligand environment of a solid ruthenium phosphine catalyst for the hydrogenation of CO2 to formate

Kevin Naidoo · Abdullateef Nashed

An in vitro one pot synthetic biology approach to emulating Golgi O-glycosylation divergence in MUC1 and tumor associated MUC1

Sophia Fricke · Mia Salgado et al.

Diffusion power spectra as a window into dynamic materials architecture

Jesse Greener · Nastaran Khodaparastasgarabad et al.

Activation energy measurements to determine metabolic bottlenecks of a bioelectrochemical system studied using microfluidics and the Arrhenius equation

Anthony Chianese · Jose Fernando Carbajal Perez et al.

Autocatalytic Activation of a Ruthenium-PNN-Pincer Hydrogenation Catalyst

Franz Geiger · Raiden Speelman

Quantifying Stern Layer Water Alignment Prior to and During the Oxygen Evolution

Leon Franke · Christine Peter et al.

Atomistic Simulations Reveal Crucial Role of Metal Ions for Ligand Binding in Gd-I Riboswitch

Amin Alibakhshi · Julien Steffen

Hydrogen diffusion on Ni(100): A Combined Machine-Learning, Ring Polymer Molecular Dynamics, and Kinetic Monte Carlo Study

Stefan M. Huber · Julian Wolf et al.

Highly Enantioselective Organocatalysis with Bidentate Halogen Bond Donors

Jürgen Bajorath · Sanjana Srinivasan

Generation of Dual-Target Compounds Using a Transformer Chemical Language Model