Rust-accelerated powder X-ray diffraction simulation for high-throughput and machine-learning-driven materials science.
- DOI
- 10.1107/s1600576726005273
- Published
- 2026-07-22
- Container
- J Appl Crystallogr
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1107/s1600576726005273,
title = {Rust-accelerated powder X-ray diffraction simulation for high-throughput and machine-learning-driven materials science.},
author = {Lebeda M and Drahokoupil J and Veřtát P and Vlčák P.},
year = {2026},
journal = {J Appl Crystallogr},
doi = {10.1107/s1600576726005273},
url = {https://doi.org/10.1107/s1600576726005273}
}RIS
TY - JOUR TI - Rust-accelerated powder X-ray diffraction simulation for high-throughput and machine-learning-driven materials science. AU - Lebeda M AU - Drahokoupil J AU - Veřtát P AU - Vlčák P. PY - 2026 JO - J Appl Crystallogr DO - 10.1107/s1600576726005273 UR - https://doi.org/10.1107/s1600576726005273 ER -
APA
M, L., J, D., P, V., & P., V. (2026). Rust-accelerated powder X-ray diffraction simulation for high-throughput and machine-learning-driven materials science.. J Appl Crystallogr. https://doi.org/10.1107/s1600576726005273
Source records
- europe-pmc · retrieved 2026-11-10T11:02:45.588Z