Electron spin states can now be probed at much higher resolution and more efficiently, opening new opportunities in materials analysis and data processing technologies.
Analysis of materials can be done quicker and with less expertise with the help of proven machine learning techniques established in biomedical fields.
Researchers develop a technique to allow fragile objects to be transferred and released by robotics, without damage, while using a gecko inspired adhesive.
The search for innovative materials will be greatly assisted by software that can suggest new experimental possibilities and also control the robotic systems that check them out.
Scientists in Japan have combined two computational models to extract more data on steel alloys from a single test, with implications for the discovery of new materials.
