Towards End-to-End Structure Solutions from Information-Compromised Diffraction Data via Generative Deep Learning
The revolution in materials in the past century was built on a knowledge of the atomic
arrangements and the structure-property relationship. The sine qua non for obtaining …
arrangements and the structure-property relationship. The sine qua non for obtaining …
Diffusion Models Are Promising for Ab Initio Structure Solutions from Nanocrystalline Powder Diffraction Data
A major challenge in materials science is the determination of the structure of nanometer
sized objects. Here we present a novel approach that uses a generative machine learning …
sized objects. Here we present a novel approach that uses a generative machine learning …