X-ray diffraction
PulseAugur coverage of X-ray diffraction — every cluster mentioning X-ray diffraction across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
-
New SPEAR framework enhances AI explainability in materials science
Researchers have developed a new framework called SPEAR (Structure Property Explainability with Attention Regularization) to improve the interpretability of machine learning models used in materials science. This framew…
-
Diffusion Model Predicts Crystal Structures from X-Ray Diffraction Data
Researchers have developed XRDiff, a novel diffusion model capable of predicting crystal structures from powder X-ray diffraction (PXRD) data. This model can infer structures based on known stoichiometry or, more challe…
-
Deep learning revolutionizes crystal structure prediction and analysis
Researchers have developed new deep learning methods for crystal structure prediction and analysis. One approach, CrystalX, uses deep learning to automate routine X-ray diffraction analysis, outperforming existing autom…
-
Machine learning potentials struggle to predict silica glass structure
Researchers have investigated the limitations of machine learning potentials in accurately predicting the medium-range order of silica glass. Using neutron and X-ray diffraction alongside molecular dynamics, they found …