Matlantis CSP has already produced early results across multiple systems—oxides, alloys, and phosphides—discovering more than 10 previously unknown stable crystals. In the Ga–Au–Ca system, it ...

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 ...

The ability to predict crystal structures is a key part of the design of new materials. New research shows that a mathematical algorithm can guarantee to predict the structure of any material just ...

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.

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 ...

Isikawa, Japan-- Superconductivity refers to the loss of electrical resistance of a material and requires extremely low temperatures (< -200°C) in order to persist. This low temperature, otherwise ...

Researchers improved organic solar cell fabrication by controlling molecular assembly, enhancing efficiency and stability, bringing the technology closer to commercial viability. OSCs are a compelling ...

Most people associate crystals with semi-transparent stones with therapeutic properties or suncatchers that operate as rainbow prisms. But for scientists and engineers, a crystal is a type of material ...

Duplicates of crystal structures are flooding databases, implicating repositories hosting organic, inorganic, and computer-generated crystals. The issue raises questions about curation practices at ...

The low temperatures required to maintain superconductivity have led to the development of hydrogen-containing compounds (metal hydrides) that can achieve superconductivity at room temperature.