The ultimate goal of materials scientists is to design and create materials with precise structures and tailored properties. Predictive technologies have advanced significantly with the rise of AI, ...
Florida State University scientists have engineered a new crystal that forces atomic magnets to swirl into complex, repeating ...
Chemists have developed a generative AI model that can make it much easier to determine the structures of powdered crystal materials. The prediction model could help researchers characterize materials ...
Calcium carbonate is everywhere. From seashells to eggshells to antacid medicine, it is one of the most abundant minerals on our planet. But scientists still don’t agree on how it forms its many ...
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 ...
Scientists at the Paul Scherrer Institute PSI have refined an X-ray diffraction technique for detecting biological structures ...
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 ...
Biological materials are masterpieces created by nature. Bones, for example, are extremely hard, yet at the same time elastic ...
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