Every crystal’s shape is a mirror of the internal arrangement of their molecules, but the molecules in photoswitchable ...
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 ...
When scientists study how materials behave under extreme conditions, they typically examine what happens under compression. But what occurs when you pull matter apart in all directions simultaneously?
Condensed-matter physics and materials science have a silo problem. Although researchers in these fields have access to vast amounts of data – from experimental records of crystal structures and ...
Researchers developed a bifocal lens based on two layers of liquid crystal (LC) structures. The intensities for the two focal lengths can be easily adjusted by applying external voltage. WASHINGTON — ...
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 ...
Metalworkers and metallurgists have long appreciated the ability to tailor the performance characteristics of steel (an alloy of iron and carbon), including their strength, hardness, ductility and ...
Duplicates of crystal structures are flooding databases, implicating repositories hosting organic, inorganic, and computer-generated crystals. The issue raises questions about curation practices at ...
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Crystallography-informed AI achieves high performance in predicting novel crystal structures
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 ...
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