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 ...
Crystal structures are the ordered, three‐dimensional arrangements of atoms or molecules that define a solid’s properties. Research in this area encompasses not only the inherent geometrical and ...
“Crystal Math” uses equations—and minimal resources—to rapidly predict the 3D structures of molecular crystals, which could speed up R&D for drugs and electronic devices Researchers at New York ...
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?
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 ...
Materials discovery leader launches Crystal Structure Prediction solution, with Honda as early adopter.
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 ...
The 20th century was marked by the discovery of exotic states of matter. First, liquid helium was observed to flow without friction at extremely low temperatures, a phase now known as superfluid. Soon ...
Duplicates of crystal structures are flooding databases, implicating repositories hosting organic, inorganic, and computer-generated crystals. The issue raises questions about curation practices at ...
Mid- and far-infrared birefringent crystals are key functional materials for polarization control, laser technologies, and ...
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 ...