Hybrid two-stage optimization framework uses AI for peak/density tasks and physics constraints for robust PXRD crystal structure solving on complex or low-quality cases.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cond-mat.mtrl-sci 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A survey of generative crystal modeling, multimodal learning, and closed-loop inverse design pipelines for crystalline solids, including failure modes and evaluation practices.
citing papers explorer
-
Ab-initio Crystal Structure Determination from Powder X-Ray Diffraction
Hybrid two-stage optimization framework uses AI for peak/density tasks and physics constraints for robust PXRD crystal structure solving on complex or low-quality cases.
-
Towards Automated Discovery: A Review of Generative Models, Multimodal Learning and Closed-Loop Workflows in Inverse Materials Design
A survey of generative crystal modeling, multimodal learning, and closed-loop inverse design pipelines for crystalline solids, including failure modes and evaluation practices.