Machine learning probes 3D microstructures

Machine learning-based algorithm characterizes materials' microstructure in 3D and real time.

Cementing the future

Unraveling the centuries-old processes behind cement production with X-ray nanoprobes can lead to sturdier and more cost-effective concrete.

Researchers describe nanoparticle behavior in vivo

Researchers have developed a new noninvasive method of nanoparticle measurement in the bloodstream that boasts a high time resolution. This technique has revealed the basic parameters that affect particle lifetime in the bloodstream, which may potentially lead to discovery of new, more effective nanoagents to be used in biomedicine.

Whitepaper evaluates opportunities and risks of nanomaterials

A recently published whitepaper gives an overview of the current state of the art in risk assessment of nanomaterials and provides the theoretical basis for the development and implementation of an effective and transparent risk management framework.

Machine learning methods provide new insights into organic-inorganic interfaces

Simulations refute earlier theories on long-range charge transfer between organic and inorganic materials.