SPaDe-CSP first predicts most probable space groups and crystal densities using machine learning and then employs an efficient neural network potential for structure refinement. Prediction of crystal ...
“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 ...
BUFFALO, N.Y. — University at Buffalo chemist Jason Benedict and his team spent years developing photoswitchable crystals. Every crystal’s shape is a mirror of the internal arrangement of their ...
Interesting Engineering on MSN
US scientists make 10 crystal compounds from one formula, reshape superconductor hunt
Scientists in the US have rewritten the rules of materials discovery after creating a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results