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 …
C Dun, Q Pan, S Jin, R Stevens, MD Miller… - arXiv preprint arXiv …, 2023 - arxiv.org
Determining the structure of a protein has been a decades-long open question. A protein's three-dimensional structure often poses nontrivial computation costs, when classical …
Determining the atomic-level structure of a protein has been a decades-long challenge. However, recent advances in transformers and related neural network architectures have …
J Karolczak, A Przybyłowska, K Szewczyk… - …, 2025 - academic.oup.com
Motivation Accurately identifying ligands plays a crucial role in the process of structure- guided drug design. Based on density maps from X-ray diffraction or cryogenic-sample …
Direct methods based on iterative projection algorithms can determine protein crystal structures directly from X-ray diffraction data without prior structural information. However …
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 …
Many technologically important material properties are underpinned by disorder and short- range structural correlations; therefore, elucidating structure–property relationships in …
S Zhang, B Cao, T Su, Y Wu, Z Feng, J Xiong… - IUCrJ, 2024 - pmc.ncbi.nlm.nih.gov
Spectroscopic data, particularly diffraction data, are essential for materials characterization due to their comprehensive crystallographic information. The current crystallographic phase …
P Skubák - Biological Crystallography, 2024 - journals.iucr.org
When solving a structure of a protein from single-wavelength anomalous diffraction X-ray data, the initial phases obtained by phasing from an anomalously scattering substructure …