arXiv (All)
open access
PXtal: Learning to Align Powder X-Ray Diffraction and Crystal Structures under Information Asymmetry across Modalities
Scientific multimodal learning commonly assumes that paired views are comparably informative. Powder X-ray diffraction (PXRD) makes this mismatch explicit: compressing a three-dimensional crystal structure into a one-dimensional diffraction pattern loses information and makes the pattern harder to c
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Structural studies on Functional Materials using Solid-State NMR, Powder X-ray Diffraction and DFT Calculations#343959
- Structure of amorphous materials in the NASICON system Na1+xTi2SixP3−xO12#388062
- Towards Extended Active Learning for Modelling Ferroelectric Switching: the Need for 'Gold Standards'#1063319
- A self-learning scientific agent for X-ray diffraction#1217597
- Brush-mediated angular constraints reshape structure, rigidity, and percolation in colloidal depletion gels.#479320
Record · ID 1247580
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive