What happens when the smallest building blocks of matter refuse to play by the rules of traditional physics? For decades, ...

Meet Bille, the name given to the world's first monostable tetrahedron—a four-faced object that will always land on the same ...

A team of researchers has developed a novel method for using cholesteric liquid crystals in optical microcavities. The ...

Researchers explored a colloidal crystal model to produce specific polymorphs, required for use in materials science and pharmaceuticals. Polymorphs are not mythical, chimeric beasts -- they are ...

Parameter study of the high temperature MOCVD numerical model for AlN growth using orthogonal test design. Sci. Rep. 11 (8877), 8877. doi:10.1038/s41598 ... A comprehensive review of yttrium aluminum ...

The two crystal structures are induced by the different biological environment where they form. Besides identifying the structure of cholesterol crystals in pathological plaques, ... (A3) Proposed ...

Both CrystaLLM versions perform similarly to existing AI inorganic structure prediction tool DiffCSP, also first published as a preprint in July 2023. DiffCSP is based on diffusion models more like ...

While this repository primarily focuses on text-guided generation, we also provide pre-trained models for the DNG (De novo generation) and CSP (Crystal Structure Prediction) tasks in the chemeleon-dng ...

Multi-Scale Geometric Analysis of Language Model Features: From Atomic Patterns to Galaxy Structures News Hub ... Technology propose a robust methodology to analyze geometric structures in SAE feature ...

Crystal Structure Determination from Powder Diffraction Patterns with Generative Machine Learning. Journal of the American Chemical Society , 2024; DOI: 10.1021/jacs.4c10244 Cite This Page : ...

MIT 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 ...