Researchers have developed an adhesive polymer that is stronger than current commercially available options while also being biodegradable, tunable, and reusable. The findings show how the common, ...

In a significant step toward creating a sustainable and circular economy, researchers have demonstrated that carbon nanotube (CNT) fibers can be fully recycled without any loss in their structure or ...

So-called "infinite-layer" nickelate materials, characterized by their unique crystal and electronic structures, exhibit ...

The rapid technological advancements of our world have been enabled by our capacity to design and fabricate ever smaller ...

Examples abound of rings that feature multiple nitrogen atoms—the lightest of the pnictogen elements. There are triazoles, ...

One way around this problem is to replace silicon with graphene-like 2D materials that maintain their semiconducting properties even at a single-atom scale. Another way is building 3D chips ...

Machine learning method developed by IISc and UCL researchers uses transfer learning to predict material properties, paving the way for advanced semiconductors and energy storage solutions. Workflow ...

Researchers at the Indian Institute of Science (IISc), with collaborators at University College London, have developed machine learning-based methods to predict material properties even with limited ...

This is the case for Koopmans functionals, a promising approach to expand the power of density-functional theory so that it can be used to predict the spectral properties of materials (such as ...

Those properties, combined with the ability to bind RNA, make the Norovirus RDRP protein biochemically adept at forming condensates. These condensates are the “replication factories” for ...

Cavendish Laboratory, Department of Physics, University of Cambridge, J. J. Thomson Avenue, Cambridge CB3 0HE, U.K. ISIS Neutron and Muon Source, STFC Rutherford Appleton Laboratory, Harwell Science ...