The direct conversion of CO2 to carbon is a highly providential route; however, conventional thermal and catalytic approaches are hindered by high energy demands and are limited by coking. Here, we report a robust and highly selective method for the direct conversion of CO2 to so … | Continue reading
Autocatalysis is fundamental to many biological processes, and kinetic models of autocatalytic reactions have mathematical forms similar to activation functions used in artificial neural networks. Inspired by these similarities, we use an autocatalytic reaction, the copper-cataly … | Continue reading
Zn–air batteries are under revival. They have large theoretical energy density and potentially very low manufacturing cost compared to the existing Li-ion technology. However, their full potential has not been fulfilled due to challenges associated with air cathodes and Zn anodes … | Continue reading
A theoretically predicted hierarchical network of pulse coupled chemical micro-oscillators and excitable micro-cells that we call a chemical “neurocomputer” (CN) or even a chemical “brain” is tested experimentally using the Belousov–Zhabotinsky reaction. The CN consists of five f … | Continue reading
Rational design of protein–polymer bioconjugates is hindered by limited experimental data and mechanistic understanding on interactions between the two. In this communication, nuclear magnetic resonance (NMR) paramagnetic relaxation enhancement (PRE) reports on distances between … | Continue reading
Following the discovery of the DNA double helix structure and the advancement of genome sequencing, we have entered a promising stage with regard to genome writing. Recently, a milestone breakthrough was achieved in the chemical synthesis of designer yeast chromosomes. Here, we r … | Continue reading