Integrating Solution Physical Properties into Zeolite Synthesis Prediction via Causal Machine Learning.
- DOI
- 10.1021/acs.jpclett.6c01624
- Published
- 2026 Jul 23
- Container
- The journal of physical chemistry letters
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jpclett.6c01624,
title = {Integrating Solution Physical Properties into Zeolite Synthesis Prediction via Causal Machine Learning.},
author = {Gu X and Wu J and Sun Q and Ma B and Yang H and Cheng T},
year = {2026},
journal = {The journal of physical chemistry letters},
doi = {10.1021/acs.jpclett.6c01624},
url = {https://doi.org/10.1021/acs.jpclett.6c01624}
}RIS
TY - JOUR TI - Integrating Solution Physical Properties into Zeolite Synthesis Prediction via Causal Machine Learning. AU - Gu X AU - Wu J AU - Sun Q AU - Ma B AU - Yang H AU - Cheng T PY - 2026 JO - The journal of physical chemistry letters DO - 10.1021/acs.jpclett.6c01624 UR - https://doi.org/10.1021/acs.jpclett.6c01624 ER -
APA
X, G., J, W., Q, S., B, M., H, Y., & T, C. (2026). Integrating Solution Physical Properties into Zeolite Synthesis Prediction via Causal Machine Learning.. The journal of physical chemistry letters. https://doi.org/10.1021/acs.jpclett.6c01624
Source records
- pubmed · retrieved 2026-09-26T17:08:58.017Z