Machine-Learning aided design of novel radiation detection materials
Hierarchical machine-learning framework to efficiently identify candidates for next-generation radiation detectors
Crown-hydroxylamines
Despite the rich coordination chemistry, hydroxylamines are rarely used as ligands for transition metal coordination compounds. Here we designed macrocyclic poly-N-hydroxylamines (crown-hydroxylamines) that form complexes containing a d-metal ion and coordinate by up to six hydroxylamine fragments.
Direct time-resolved observation of surface-bound carbon dioxide radical anions on metallic nanocatalysts
A comprehensive understanding of the catalytic CO2 reduction mechanism has been limited by challenging direct time-resolved observation of the elementary steps. Here, we use pulse radiolysis to observe the stabilization processes towards well-defined nanoscale metallic sites.
The (w)hole story
Dissipative structures are governed by non-equilibrium thermodynamics. Here, we describe a size-dependent transition of active droplets into active spherical shells–a dissipative structure that originates from reaction-diffusion gradients.
