A research team from the Institute of Statistical Mathematics and Panasonic Holdings Corporation has developed a machine learning algorithm, ShotgunCSP, that enables fast and accurate prediction of ...

Developing and manufacturing effective, safe, reliable new drugs or critical new materials for use in semiconductors or applications involving dangerous materials requires many layers of knowledge.

Researchers have devised a mathematical approach to predict the structures of crystals -- a critical step in developing many medicines and electronic devices -- in a matter of hours using only a ...

Crystal structures underpin the physical properties of materials, while intermetallic compounds—characterised by well‐defined stoichiometries and ordered arrangements of metallic elements—offer a rich ...

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Being the first element to form, hydrogen holds clues about the distribution of matter in our universe. Normally a gas, hydrogen exists as a solid under ultra-high-pressure conditions commonly found ...

Using artificial intelligence to create new things is all the rage right now. Whether you want text, computer code, or images, there are uncountable generative AI models that can oblige. Google ...

Researchers have developed a new type of bifocal lens that offers a simple way to achieve two foci (or spots) with intensities that can be adjusted by applying external voltage. The lenses, which use ...

An artificial intelligence created by Google DeepMind may help revolutionise materials science, providing new ways to make better batteries, solar panels, computer chips and many more vital ...